| Segment Name | Lifetime (Days) | Segment Description | Segment Key |
|---|---|---|---|
|
APAC Skimlinks - About to Buy - Food and Drink - Health Foods and Vitamins |
15 | People about to buy Health Foods and Vitamins | -2147483251 |
| APAC Skimlinks - About to Buy - Interests - Health and Wellness Equipment | 15 | People about to buy Health and Wellness Equipment | -2147483132 |
| APAC Skimlinks - Affinity - Health and Wellbeing | 15 | People with High Affinity to shop for Health and Wellbeing | -2147483412 |
| APAC Skimlinks - Shopper Profiles - Health Conscious Mothers | 30 | Mums creating healthy lifestyles for themselves and their families. | -2147439206 |
| APAC Skimlinks - Shopper Profiles - Health Food Fanatics | 30 | Healthy eating advocates | -2147439205 |
| APAC Skimlinks - Shopper Profiles - Healthy Eating Fashionistas | 30 | Fashion savvy healthy eaters. | -2147439118 |
| APAC Skimlinks - Shopper Profiles - Healthy Living | 30 | Holistic healthy living. | -2147439117 |
| APAC Skimlinks - Wants to Buy - Food and Drink - Health Foods and Vitamins | 15 | People who want to buy Health Foods and Vitamins | -2147482928 |
| APAC Skimlinks - Wants to Buy - Health and Wellness Equipment | 15 | People who want to buy Health and Wellness Equipment | -2147483389 |
| AT and DE Semasio - Interest - Health | 30 | AT and DE users: Who are inferred to have an interest in Health after visiting the following sites: Content about health (diagnosis, rehabilitation, symptoms), health portals and forums | atdes.intr.h |
| AT and DE Semasio - Interest - LOHAS (Lifestyle of Health and Sustainability) | 30 | AT and DE users: Who are inferred to have an interest in LOHAS after visiting the following sites: Content about environmental issues, animal rights, charity, sustainability, climate change, well-being and healthy live in portals, magazines and forums, does not contain sustainability pages of company websites | atdes.intr.lohas |
| AT and DE Semasio - Socio - Career - Health Care Professionals | 90 | AT and DE users: Who are inferred, base on browsing history, to have a career in Health Care Professionals | atdes.socio.c.hcp |
| AT GfK - Purchasing Power - Retail - Health and Personal Care - High | 90 | Individuals with high level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147465776 |
| AT GfK - Purchasing Power - Retail - Health and Personal Care - Low | 90 | Individuals with low level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147465686 |
| AT GfK - Purchasing Power - Retail - Health and Personal Care - Medium | 90 | Individuals with medium level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147465775 |
| AU CareerOne - Category - Healthcare | 90 | C1 Users: Actively searching for jobs within the health sector | -2147464795 |
| AU CareerOne - Industry - Health, Medical and Pharmaceutical | 90 | C1 Users: Actively searching for jobs within Health, Medical & Pharmaceutical e.g. Registered Nurses, Optometrists, Psychologists, Physiotherapists, GPs | -2147464775 |
| AU Roy Morgan - Helix Personas - 200 Metrotechs - 202 Healthy, Wealthy and Wise | 90 | AU Users: Well-educated, high-income, inner-city professionals, typically renting apartments/flats, social/health conscious | rm.helix.au.200.202 |
| AU Roy Morgan - Interest - Health and Fitness | 90 | People who are more likely to lead a healthy lifestyle, exerice regularly, eat healthy, and buy health products | rm.intr.hf |
| AU Roy Morgan - Political Issue Most Important - Improving health services and hospitals | 90 | Roy Morgan survey respondents who have indicated that improving health services and hospitals is a top three political issue for them in Australia | rm.polit.impvheal |
| CH Semasio Stailamedia - Interest - Health and LOHAS (Lifestyle of Health and Sustainability) | 30 | CH users: Who are inferred to have an interest in Health and LOHAS after visiting the following sites: Content about environmental issues, animal rights, charity, sustainability, climate change, well-being and healthy live on portals, magazines and in forums; does not contain sustainability pages of company websites | chs.intr.hlohas |
| DE Experian - Finance / Insurance - Private Health Insurance | 90 | DE Users: Who have a Propensity to Private Health Insurance | exde.fi.phi |
| DE Experian - Sociodemographic - Consumer Typology - LOHAS (Lifestyle of Health and Sustainability) | 90 | DE Users: Consumers who are interested in Lifestyles of Health and Sustainability | exde.s.ct.lohas |
| DE GfK - FMS - Insurance - Health Insurance - Private Full-Coverage Health Insurance - High Demand | 90 | High demand for Private full-coverage health insurance | -2147442784 |
| DE GfK - FMS - Insurance - Health Insurance - Private Full-Coverage Health Insurance - Low Demand | 90 | Low demand for Private full-coverage health insurance | -2147442783 |
| DE GfK - FMS - Insurance - Health Insurance - Private Full-Coverage Health Insurance - Medium Demand | 90 | Medium demand for Private full-coverage health insurance | -2147442688 |
| DE GfK - FMS - Insurance - Health Insurance - Private Supplementary Health Insurance - High Demand | 90 | High demand for Private supplementary health insurance | -2147442782 |
| DE GfK - FMS - Insurance - Health Insurance - Private Supplementary Health Insurance - Low Demand | 90 | Low demand for Private supplementary health insurance | -2147442686 |
| DE GfK - FMS - Insurance - Health Insurance - Private Supplementary Health Insurance - Medium Demand | 90 | Medium demand for Private supplementary health insurance | -2147442685 |
| DE GfK - Purchasing Power - Retail - Health and Personal Care - High | 90 | Individuals with high level purchasing power for Health and Personal Care | -2147466176 |
| DE GfK - Purchasing Power - Retail - Health and Personal Care - Low | 90 | Individuals with low level purchasing power for Health and Personal Care | -2147466175 |
| DE GfK - Purchasing Power - Retail - Health and Personal Care - Medium | 90 | Individuals with medium level purchasing power for Health and Personal Care | -2147466174 |
| DE GfK - Regional Consumer Styles - Family, Health And Security-Oriented - High | 90 | high share of households primarily longing for peace and harmony, attracted to products oriented towards family, security and health | -2147436842 |
| DE GfK - Regional Consumer Styles - Family, Health And Security-Oriented - Low | 90 | low share of households primarily longing for peace and harmony, attracted to products oriented towards family, security and health | -2147437064 |
| DE GfK - Regional Consumer Styles - Family, Health And Security-Oriented - Medium | 90 | medium share of households primarily longing for peace and harmony, attracted to products oriented towards family, security and health | -2147437063 |
| DE Gutefrage.net - Healthy Living | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in healthy living. | -2147439075 |
| DE Gutefrage.net - Healthy Living - Alternative Medicine | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in alternative medicine. | -2147439074 |
| DE Gutefrage.net - Healthy Living - Fitness and Exercise | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in fitness and exercise. | -2147439042 |
| DE Gutefrage.net - Healthy Living - Weight Loss | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in weight loss. | -2147439041 |
| DE Kantar Media TGI - Sport - Visited Leisure Centres / Gyms and Health Clubs In The Last 12 Months | 90 | DE Users: Who visited Leisure Centres/Gyms or Health Clubs in the last 12 months | dektgi.sport.visit |
| DE Schober - Finance - Insurance - Own Private Health Insurance | 90 | Likely to own Private Health Insurance | deschober.insu.ownhealth |
| DE Semasio - Interest - B2B - Health Care Professionals | 30 | Predictive semantic targeting based on industry magazines, sites for software, trade fairs and on-the-job-training offers for the business area of health care and medicine | -2147442587 |
| Demographic - Employment - Health, Medical and Pharmaceutical | 90 | Users: Segmented based on career industry declared or registered on a site in the field of Health, Medical and Pharmaceutical | dem.emp.heal-med-phar |
| DK GfK - Purchasing Power - Retail - Health and Personal Care - High | 90 | Individuals with high level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466224 |
| DK GfK - Purchasing Power - Retail - Health and Personal Care - Low | 90 | Individuals with low level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466223 |
| DK GfK - Purchasing Power - Retail - Health and Personal Care - Medium | 90 | Individuals with medium level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466135 |
| Eastern Europe - Intent - Services - Medicine and Health | 60 | Eastern European Users: Who actively search, browse or inquire on medical service providers online, including but not limited to medical professional contact details, private nursing, therapy providers and pharmaceutical medicine suppliers | - |
| Eastern Europe - Interest - Health and Fitness | 30 | Eastern European Users: Who browse sites related to health and fitness, indicating an interest in health and fitness | - |
| EMEA onAudience - Intent - Health and Beauty | 14 | Users who are interested in buying Health Care Accessories | -2147461690 |
| EMEA onAudience - Intent - Health and Beauty - Beauty Services | 14 | Users who are interested in buying Beauty Services | -2147461420 |
| EMEA onAudience - Intent - Health and Beauty - Health Care - Fitness and Nutrition | 14 | Users who are interested in buying Fitness Equipment & Nutritions | -2147461598 |
| EMEA onAudience - Intent - Health and Beauty - Health Care - Medicine and Drugs | 14 | Users who are interested in buying Medicine & Drugs | -2147461522 |
| EMEA onAudience - Interest - Food and Drink - Healthy food | 30 | Users who regularly visit healthy food content websites | -2147461623 |
| EMEA onAudience - Interest - Health and Fitness | 30 | Users who regularly visit health and fitness content websites | -2147461701 |
| ES GfK - Purchasing Power - Retail - Health and Personal Care - High | 90 | Individuals with high level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466364 |
| ES GfK - Purchasing Power - Retail - Health and Personal Care - Low | 90 | Individuals with low level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466253 |
| ES GfK - Purchasing Power - Retail - Health and Personal Care - Medium | 90 | Individuals with medium level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466252 |
| FR Kantar Media TGI - Health Insurance - Have Private Health Insurance | 90 | FR Users: Who have a private health insurance policy | -2147467657 |
| FR OmniDIGITAL by MeritDirect - Industry - Healthcare / Medical | 90 | This segment targets Healthcare/Medical Industry | frmerit.ind.healthmed |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare | 90 | B2B Users: Bundled intent data pertaining to healthcare industry-related content consumption | ml.b2bpsig.hc |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare - Administration | 90 | B2B Users: Aggregates intent topics such as health insurance, medical billing and pay for performance | ml.b2bpsig.hc.ad |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare - Disease Control | 90 | B2B Users: Aggregates intent topics such as communicable diseases, patient education and public health | ml.b2bpsig.hc.dc |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare - Health Insurance | 90 | B2B Users: Aggregates intent topics such as claims processing, health care costs and Healthcaregov | ml.b2bpsig.hc.hi |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare - Health Tech | 90 | B2B Users: Aggregates intent topics such as clinical data integration, Electronic Health Record (EHR) and medical devices | ml.b2bpsig.hc.ht |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare - Medical Research | 90 | B2B Users: Aggregates intent topics such as Evidence-Based Design (EBD), gene sequencing and health analytics | ml.b2bpsig.hc.mr |
| Global Bombora - B2B - B2B Predictive Signals - Healthcare - Patient Management | 90 | B2B Users: Aggregates intent topics such as patient safety, pharmaceuticals and pain control | ml.b2bpsig.hc.pm |
| Global Bombora - B2B - Functional Area - Medical / Health | 90 | B2B Users: People involved in the medical field | ml.b2bdem.fa.mh |
| Global Bombora - B2B - Functional Area - Medical / Health - Adolescent Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare focused on teenaged patients | ml.b2bdem.fa.mh.am |
| Global Bombora - B2B - Functional Area - Medical / Health - Allergies and Immunology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the immune system and associated hypersensitivity disorders | ml.b2bdem.fa.mh.alim |
| Global Bombora - B2B - Functional Area - Medical / Health - Anesthesiology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to pain management during and after surgery | ml.b2bdem.fa.mh.an |
| Global Bombora - B2B - Functional Area - Medical / Health - Cardiology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the heart and vascular system | ml.b2bdem.fa.mh.card |
| Global Bombora - B2B - Functional Area - Medical / Health - Clinical Laboratory | 90 | B2B Users: People in a laboratory setting who analyze patient clinical specimens to provide information on the prevention, diagnosis or treatment of a condition | ml.b2bdem.fa.mh.cl |
| Global Bombora - B2B - Functional Area - Medical / Health - Cosmetic | 90 | B2B Users: People involved in the administration and delivery of healthcare designed to restore or enhance the appearance of the body | ml.b2bdem.fa.mh.cos |
| Global Bombora - B2B - Functional Area - Medical / Health - Critical Care Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare focused on the diagnosis of resource-intensive, life-threatening conditions | ml.b2bdem.fa.mh.ccm |
| Global Bombora - B2B - Functional Area - Medical / Health - Dentist | 90 | B2B Users: People involved in the administration and delivery of dental care | ml.b2bdem.fa.mh.dent |
| Global Bombora - B2B - Functional Area - Medical / Health - Dermatology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the nails, hair and skin | ml.b2bdem.fa.mh.derm |
| Global Bombora - B2B - Functional Area - Medical / Health - Emergency Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare to patients with acute illnesses or injuries requiring immediate medical care | ml.b2bdem.fa.mh.em |
| Global Bombora - B2B - Functional Area - Medical / Health - Endocrinology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the glandular and hormonal system | ml.b2bdem.fa.mh.endo |
| Global Bombora - B2B - Functional Area - Medical / Health - Gastroenterology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the digestive system | ml.b2bdem.fa.mh.gast |
| Global Bombora - B2B - Functional Area - Medical / Health - General / Family Practitioner | 90 | B2B Users: People involved in the administration and delivery of healthcare to patients with acute and chronic conditions, also providing preventive care and health education | ml.b2bdem.fa.mh.gp |
| Global Bombora - B2B - Functional Area - Medical / Health - Genetics | 90 | B2B Users: People who study genes and heredity as well as genes' role in the understanding and treatment of medical conditions | ml.b2bdem.fa.mh.gen |
| Global Bombora - B2B - Functional Area - Medical / Health - Geriatrics | 90 | B2B Users: People involved in the administration and delivery of healthcare focused on the elderly | ml.b2bdem.fa.mh.get |
| Global Bombora - B2B - Functional Area - Medical / Health - Health Professional | 90 | B2B Users: People without a medical degree who administer and deliver healthcare | ml.b2bdem.fa.mh.hp |
| Global Bombora - B2B - Functional Area - Medical / Health - Hematology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the blood and blood-forming organs | ml.b2bdem.fa.mh.hem |
| Global Bombora - B2B - Functional Area - Medical / Health - Hepatology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the liver, gall bladder, biliary tract and pancreas | ml.b2bdem.fa.mh.hep |
| Global Bombora - B2B - Functional Area - Medical / Health - Imaging and Radiology | 90 | B2B Users: People who use imaging and radiological technology in the diagnosis and treatment of disease | ml.b2bdem.fa.mh.imgrad |
| Global Bombora - B2B - Functional Area - Medical / Health - Infectious Disease | 90 | B2B Users: People involved in the administration and delivery of healthcare focused on patients with virulent conditions | ml.b2bdem.fa.mh.infdes |
| Global Bombora - B2B - Functional Area - Medical / Health - Integrative Alternative and Complementary Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare considered non-mainstream | ml.b2bdem.fa.mh.iacm |
| Global Bombora - B2B - Functional Area - Medical / Health - Internal Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare concerned with the prevention, diagnosis and treatment of illnesses in adults | ml.b2bdem.fa.mh.im |
| Global Bombora - B2B - Functional Area - Medical / Health - Nephrology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the kidneys | ml.b2bdem.fa.mh.nep |
| Global Bombora - B2B - Functional Area - Medical / Health - Neurology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the nervous system | ml.b2bdem.fa.mh.neu |
| Global Bombora - B2B - Functional Area - Medical / Health - Ob / Gyn | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the female reproductive system, including pregnancy | ml.b2bdem.fa.mh.ob |
| Global Bombora - B2B - Functional Area - Medical / Health - Oncology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the treatment of tumors and cancer | ml.b2bdem.fa.mh.onc |
| Global Bombora - B2B - Functional Area - Medical / Health - Ophthalmology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the eyes | ml.b2bdem.fa.mh.opt |
| Global Bombora - B2B - Functional Area - Medical / Health - Orthopedic | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the muscular and skeletal system | ml.b2bdem.fa.mh.orto |
| Global Bombora - B2B - Functional Area - Medical / Health - Otolaryngology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the ears, nose and throat | ml.b2bdem.fa.mh.onto |
| Global Bombora - B2B - Functional Area - Medical / Health - Pathology | 90 | B2B Users: People concerned with the diagnosis of disease primarily through the clinical analysis of bodily cells, tissues and fluids | ml.b2bdem.fa.mh.pat |
| Global Bombora - B2B - Functional Area - Medical / Health - Pediatrics and Adolescent Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare focused on children and teenaged patients | ml.b2bdem.fa.mh.ped |
| Global Bombora - B2B - Functional Area - Medical / Health - Phlebology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the blood veins and arteries | ml.b2bdem.fa.mh.phleb |
| Global Bombora - B2B - Functional Area - Medical / Health - Physical Medicine and Rehabilitation | 90 | B2B Users: People involved in the administration and delivery of healthcare designed to restore or otherwise enhance functional ability and quality of life in those with bodily impairments or disabilities | ml.b2bdem.fa.mh.pmr |
| Global Bombora - B2B - Functional Area - Medical / Health - Psychiatry and Mental Health | 90 | B2B Users: People involved in the administration and delivery of healthcare concerned with the prevention/diagnosis/treatment | ml.b2bdem.fa.mh.psych |
| Global Bombora - B2B - Functional Area - Medical / Health - Pulmonology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the lungs and respiratory tract | ml.b2bdem.fa.mh.pulm |
| Global Bombora - B2B - Functional Area - Medical / Health - Rheumatology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the joints and soft tissues | ml.b2bdem.fa.mh.rh |
| Global Bombora - B2B - Functional Area - Medical / Health - Sports Medicine | 90 | B2B Users: People involved in the administration and delivery of healthcare concerned with sports injuries and physical fitness | ml.b2bdem.fa.mh.sm |
| Global Bombora - B2B - Functional Area - Medical / Health - Surgeon | 90 | B2B Users: People involved in the administration and delivery of healthcare that involves cutting the body in the service of a particular goal, such as removing diseased tissue or repairing breaks or tears | ml.b2bdem.fa.mh.surg |
| Global Bombora - B2B - Functional Area - Medical / Health - Urology | 90 | B2B Users: People involved in the administration and delivery of healthcare related to the urinary tract and the male reproductive anatomy | ml.b2bdem.fa.mh.ur |
| Global Bombora - B2B - Industry - Consumer Services - Weight Health Management | 90 | B2B Users: Companies that offer services aimed at promoting personal wellness i.e. gyms, spas and health clubs | ml.b2bdem.ind.cs.whm |
| Global Bombora - B2B - Industry - Healthcare | 90 | B2B Users: Companies or institutions involved in the creation, delivery or manufacture of medical services and products | ml.b2bdem.ind.hc |
| Global Bombora - B2B - Industry - Healthcare - Hospitals and Clinics | 90 | B2B Users: Public or private medical facilities that provide inpatient or ambulatory care | ml.b2bdem.ind.hc.hc |
| Global Bombora - B2B - Industry - Healthcare - Medical Offices | 90 | B2B Users: Healthcare practitioners with a standalone office who provide a range of services | ml.b2bdem.ind.hc.mo |
| Global Bombora - B2B - Industry - Healthcare - Pharmaceuticals | 90 | B2B Users: Companies that engage in research and development activities regarding medical drugs | ml.b2bdem.ind.hc.ph |
| Global Bombora - B2B - Industry - Insurance - Accident and Health | 90 | B2B Users: Companies involved in protecting against losses/injuries associated with accidents | ml.b2bdem.ind.ins.ah |
| Global Bombora - B2B - Industry - Software - Healthcare | 90 | B2B Users: Companies that design and create computer programs used in the healthcare field | ml.b2bdem.ind.soft.h |
| Global Bombora - B2B - Professional Groups - Healthcare Professional | 90 | B2B Users: People who belong to the Healthcare industry segment, the Healthcare functional area of the Healthcare intent category | ml.b2bdem.pgr.hprof |
| Global DataXpand - Intent - Health and Personal Care | 30 | Users with intent to acquire health and personal care products, they visit ecommerce or price comparison websites and look for products such as nutrition products, oral care, vitamins, herbal supplements, health care & supplements. | dataxp.int.hlth |
| Global DataXpand - Interest - Health and Personal Care | 30 | Users who read related content to Health and Personal Care: body care, wellness, fitness, medicine, body balance, treatments, diets, etc. | dataxp.intr.hlth |
| Global DataXpand - Interest - Health and Personal Care - Fitness | 30 | Fitness enthusiasts that read related content to workouts, exercise, weight loss plans, diets, nutritional plans, weight training, cross fit, and many others. | dataxp.intr.hlth.fit |
| Global DataXpand - Interest - Health and Personal Care - Men's Health | 30 | Users who read related content to Men's health: shaving products, shampoo, etc. | dataxp.intr.hlth.mhlth |
| Global DataXpand - Interest - Health and Personal Care - Wellness | 30 | Users who are interested in wellbeing, exercising, training, sports, running, yoga, and how to keep body balance. | dataxp.intr.hlth.wness |
| Global DataXpand - Interest - Health and Personal Care - Women's Health | 30 | Users who read related content to Women's health: pregnancy test, personal care, beauty products, wax products, etc. | dataxp.intr.hlth.wmhlth |
| Global DataXpand - Interest - Healthy Living | 30 | Users who demonstrate interest in healthy living: body care, fitness, sports, wellbeing and related content. | dataxp.intr.hlthliv |
| Global DataXpand - Interest - Healthy Living - Fitness | 30 | Users who are interested in fitness: They search for information and useful data for the improvement of their health, training tips and specific equipment. | dataxp.intr.hlthliv.fit |
| Global DataXpand - Interest - Healthy Living - Nutrition and Diets | 30 | Nutritional information is searched by users interested in nutritional plans, diets healthy cooking, recipes, hydration, and other useful advice for body health. | dataxp.intr.hlthliv.nutri |
| Global DataXpand - US Hispanics - Intent - Health and Personal Care | 30 | Users with intent to acquire Health and Personal Care products, they visit ecommerce or price comparison websites and look for products such as nutrition products, oral care, vitamins, herbal supplements, health care & supplements. | dataxp.hisp.int.hlth |
| Global DataXpand - US Hispanics - Interest - Health and personal Care | 30 | Users who read related content to Health and Personal Care: body care, wellness, fitness, medicine, body balance, treatments, diets, etc. | dataxp.hisp.intr.hlth |
| Global DataXpand - US Hispanics - Interest - Health and personal Care - Fitness | 30 | Fitness enthusiasts that read related content to workouts, exercise, weight loss plans, diets, nutritional plans, weight training, cross fit, and many others. | dataxp.hisp.intr.hlth.fit |
| Global DataXpand - US Hispanics - Interest - Health and personal Care - Wellness | 30 | Users who are interested in wellbeing, exercising, training, sports, running, yoga, and how to keep body balance. | dataxp.hisp.intr.hlth.wns |
| Global DataXpand - US Hispanics - Interest - Healthy Living | 30 | Users who demonstrate interest in Healthy Living: body care, fitness, sports, wellbeing and related content. | dataxp.hisp.intr.hlthliv |
| Global DataXpand - US Hispanics - Interest - Healthy Living - Fitness | 30 | Users who are interested in fitness: They search for information and useful data for the improvement of their health, training tips and specific equipment. | dataxp.hisp.intr.hlthliv.fit |
| Global DataXpand - US Hispanics - Interest - Healthy Living - Nutrition and Diets | 30 | Nutritional information is searched by users interested in nutritional plans, diets healthy cooking, recipes, hydration, and other useful advice for body health. | dataxp.hisp.intr.hlthliv.nutri |
| Global Gourmet Ads Data - Interest - Health - Dieting and Weight Loss | 60 | Users in this segment have specifically searched for and viewed diet / weight loss related content. They would have also visited one of the many diet or weight loss websites across the network. | -2147442484 |
| Global Gourmet Ads Data - Interest - Healthy Lifestyle | 60 | These are users which consume content across the Healthy Ads Network. Typically, the sites have a focus for healthy and the content ranges from fitness, yoga, marathon, gym and general wellness. | -2147442483 |
| Grapeshot Audience Retargeting - Health - Allergies | 30 | Users interested in content relating to allergies - non food specific - e.g. bee stings, pollen, animals | gg.hea.al |
| Grapeshot Audience Retargeting - Health - Alternative Interest | 30 | Users interested in alternative healthcare - e.g. herbal remedies | gg.hea.alt |
| Grapeshot Audience Retargeting - Health - Dentistry Interest | 30 | Users interested in content relating to dentistry and orthodontics | gg.hea.dent |
| Grapeshot Audience Retargeting - Health - Diet Enthusiasts | 30 | User interested in content related to dieting in order to maintain or lose weight | gg.hea.diet |
| Grapeshot Audience Retargeting - Health - Disability Interest | 30 | Users interested in content relating to disabilities both mental and physical | gg.hea.dis |
| Grapeshot Audience Retargeting - Health - Exercise Enthusiasts | 30 | Users interested in content relating to exercise and fitness | gg.hea.ex |
| Grapeshot Audience Retargeting - Health - Sexuality Interest | 30 | Users interested at content relating to sexual health and sexuality | gg.hea.sex |
| Grapeshot Audience Retargeting - Reach - Health Interest | 30 | Users interested in health related content in general | gg.rea.hea |
| ID AimMatic - Interest - AA TTS Health and Fitness | 90 | ID Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466804 |
| ID AimMatic - Interest - AAA TTS Health and Fitness | 90 | ID Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466735 |
| ID Roy Morgan - Helix Personas - 200 Metrotechs - 202 Healthy, Wealthy and Wise | 90 | Well educated, high income, inner city workers. Play sport, health conscious and tech savvy. | -2147444170 |
| Intent - Financial Intent - Insurance - Health | 60 | Users: Who actively search, browse or register for Insurance companies, plan comparisons and financial insurance agent contact details, indicating intent to obtain health insurance plans | int.finan.insur.it-health |
| Intent - Services - Medicine and Health | 60 | Users: Who actively search, browse or inquire on medical service providers online, including but not limited to medical professional contact details, private nursing, therapy providers and pharmaceutical medicine suppliers | int.serv.med |
| Intent - Shopping - CPG / FMCG - Health and Beauty | 15 | Users: Who search/browse sites selling Consumer Products/Fast Moving Consumer Goods, visiting e-commerce, price and comparison sites for common goods such as shampoo, facial wash and detergent with the intent to shop for Health and Beauty Products | int.shop.cpg.health |
| Interest - Food Enthusiasts - Healthy Eating | 30 | Users: Who browse sites that feature culinary information or other related sites, indicating an interest in healthy eating | -2147442773 |
| Interest - Health and Fitness | 30 | Users: Who browse sites related to health and fitness, indicating an interest in health and fitness | intr.heal |
| Interest - Health and Fitness - Diet Products / Weight Loss | 30 | Users: Who browse sites related to health and fitness, indicating an interest in diet food and weight loss | intr.heal.diet |
| Interest - Health and Fitness - Fitness and Gym | 30 | Users: Who browse sites related to health and fitness, indicating an interest in fitness and gym | intr.heal.fitgym |
| Interest - Health and Fitness - Medicine | 30 | Users: Who browse sites related to health and fitness, indicating an interest in medicine | intr.heal.med |
| KR AimMatic - Intent to Buy - AA TIM Pharma and Health Care Consumables | 15 | KR Users in locations ranked AA second-highest by Total In Market online and offline purchase intent for: Pharma and Health Care Consumables | -2147466759 |
| KR AimMatic - Intent to Buy - AAA TIM Pharma and Health Care Consumables | 15 | KR Users in locations ranked AAA highest by Total In Market online and offline purchase intent for: Pharma and Health Care Consumables | -2147466675 |
| KR AimMatic - Interest - AA TTS Health and Fitness | 15 | KR Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466752 |
| KR AimMatic - Interest - AAA TTS Health and Fitness | 15 | KR Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466753 |
| MY AimMatic - Interest - AA TTS Health and Fitness | 90 | MY Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466600 |
| MY AimMatic - Interest - AAA TTS Health and Fitness | 90 | MY Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466647 |
| NL GfK - Purchasing Power - Retail - Health and Personal Care - High | 90 | Individuals with high level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147465906 |
| NL GfK - Purchasing Power - Retail - Health and Personal Care - Low | 90 | Individuals with low level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466296 |
| NL GfK - Purchasing Power - Retail - Health and Personal Care - Medium | 90 | Individuals with medium level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466379 |
| NZ Experian - Occupation - Industry - Health care and social assistance | 90 | NZ Experian - Occupation - Industry - Health care and social assistance | -2147462034 |
| NZ Roy Morgan - Helix Personas - 200 Metrotechs - 202 Healthy, Wealthy and Wise | 90 | NZ Users: Well-educated, high-income, inner-city workers, expensive villas or terrace houses, social and health conscious | rmnz.helix.nz.200.202 |
| PL Netsprint - Business - Job Sector - Health and Safety and Quality Control | 180 | Polish Users: Segmented based on career industry declared or registered on a site in the field of Health and Safety and Quality Control | n.bu.js.hs |
| PL Netsprint - Business - Job Sector - Healthcare and Pharmacy | 180 | Polish Users: Segmented based on career industry declared or registered on a site in the field of Healthcare and Pharmacy | n.bu.js.hp |
| PL Netsprint - Interest - Health | 30 | Polish Users: Who search/browse sites with Health content | n.intr.h |
| PL Netsprint - Interest - Health - Addictions | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Addictions | n.intr.h.add |
| PL Netsprint - Interest - Health - Alternative Medicine | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Alternative Medicine | n.intr.h.am |
| PL Netsprint - Interest - Health - Health and Disease | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Health and Disease | n.intr.h.il |
| PL Netsprint - Interest - Health - Health Service | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Health Service | n.intr.h.hs |
| PL Netsprint - Interest - Health - Healthy Lifestyle | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Healthy Lifestyle | n.intr.h.hl |
| PL Netsprint - Interest - Health - Medication - Allergy | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Allergy medications and treatment | -2147438788 |
| PL Netsprint - Interest - Health - Medication - Cold and Flu | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Cold and Flu Treatment | -2147438856 |
| PL Netsprint - Interest - Health - Medication - Eyes | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Eye Drops, Medicines and Conditions | -2147438855 |
| PL Netsprint - Interest - Health - Medication - Sedatives and Sleeping Pills | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Sedatives or Sleeping Pills | -2147438854 |
| PL Netsprint - Interest - Health - Psychology | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Psychology | n.intr.h.ps |
| PL Netsprint - Interest - Health - Sex Life | 30 | Polish Users: Who search/browse sites with Health content, which indicated an interest in Sex Life | -2147438853 |
| PL Netsprint - Predicted Interest - Health | 7 | Polish Users: Segmented based on predicted Interests: Health | -2147438799 |
| PL Netsprint - Predicted Purchase Intent - Health and Beauty - Medical Services | 7 | Polish Users: Segmented based on predicted Purchase Intent: Health and Beauty - Medical Services | -2147438731 |
| PL Netsprint - Predicted Purchase Intent - Health and Beauty - Medical Services - Young Parents | 7 | Polish Users: Segmented based on predicted Purchase Intent: Health and Beauty - Medical Services - Young Parents | -2147438772 |
| PL Netsprint - Predicted Purchase Intent - Health and Beauty - Medicines and Dietary Supplements | 7 | Polish Users: Segmented based on predicted Purchase Intent: Health and Beauty - Medicines and Dietary Supplements | -2147438771 |
| PL Netsprint - Predicted Purchase Intent - Health and Beauty - Weight Loss and Healthy Lifestyle | 7 | Polish Users: Segmented based on predicted Purchase Intent: Health and Beauty - Weight Loss and Healthy Lifestyle | -2147438730 |
| PL Netsprint - Purchase Intent - Buying products on sale and in promotion - Health and Beauty | 30 | Polish Users: With the intent to buy cosmetics and perfumes on sale and promotion | n.pin.sale.cp |
| PL Netsprint - Purchase Intent - FMCG - Beauty and Health Products | 60 | Polish Users: Who search/browse sites with FMCG purchase information, which indicated an interest in Beauty, Health Products | -2147464443 |
| PL Netsprint - Purchase Intent - FMCG - Groceries - Non-gluten Products and Healthy Food | 60 | Polish Users: Who search/browse sites with Groceries purchase information, which indicated an interest in Non-gluten Products and Healthy Food | -2147443985 |
| PL Netsprint - Purchase Intent - Health and Beauty | 60 | Polish Users: Who search/browse sites with Health and Beauty purchase information | n.pin.hb |
| PL Netsprint - Purchase Intent - Health and Beauty - Beauty Treatments and Aesthetic Medicine | 60 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Beauty Treatments and Aesthetic Medicine Services | n.pin.hb.bs |
| PL Netsprint - Purchase Intent - Health and Beauty - Electronics and Health Products | 3 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Electronics and Health Products | n.pin.hb.ehp |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services | 3 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services | n.pin.hb.ms |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Allergies | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Allergies | n.pin.hb.ms.all |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Children's Specializations | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Childrens specializations | n.pin.hb.ms.chs |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Dentist | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Dentist | n.pin.hb.ms.d |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Dermatologist | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Dermatologist | n.pin.hb.ms.dem |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Gastrologist | 3 | Polish Users: Who have the intent, based on search/browsing history, to seek the medical services of a Gastrologist | n.pin.hb.ms.g |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Internist | 3 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Internist | n.pin.hb.ms.internist |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Occupational Physician | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Occupational Physician | n.pin.hb.ms.ophy |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Oculist | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Oculist | n.pin.hb.ms.op |
| PL Netsprint - Purchase Intent - Health and Beauty - Medical Services - Young Parents | 7 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medical Services - Young Parent | n.pin.hb.ms.yp |
| PL Netsprint - Purchase Intent - Health and Beauty - Medicines and Dietary Supplements | 60 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Medicines and Dietary Supplements | n.pin.hb.mds |
| PL Netsprint - Purchase Intent - Health and Beauty - Weight Loss and Healthy Lifestyle | 60 | Polish Users: Who search/browse sites with Health and Beauty purchase information, which indicated an interest in Weight Loss and Healthy Lifestyle | n.pin.hb.wlhs |
| RU Aidata - Finance - Personal Finance Services - Insurance - Personal and Health Insurance | 60 | Visitors interested in health insurance. | -2147471437 |
| RU Aidata - Food and Drink - Restaurants - Health and Vegan Restaurants | 90 | Visitors of Health and Vegan restaurants sites, reviews, service delivery. | -2147471799 |
| RU Aidata - Health | 90 | High level health and wellness content. | -2147472512 |
| RU Aidata - Health - Alternative Medicine and Health | 90 | Visiters of resources on alternative medicine | -2147472435 |
| RU Aidata - Health - Aromatherapy | 90 | Visitors of online pharmacies of the sections of Aromatherapy. | -2147472434 |
| RU Aidata - Health - Give Up Smoking | 60 | Users browsing for information how to give up smoking. | -2147472474 |
| RU Aidata - Health - Health Medicine Services | 20 | Visiters of resources about medicine services | -2147472433 |
| RU Aidata - Health - Health Topics | 90 | Users browsing for information on different health topics | -2147472473 |
| RU Aidata - Health - Health Topics - Allergy | 90 | Users concerned with allergy problem, browsing for special articles, clinic services, doctor advises and meds. | -2147471798 |
| RU Aidata - Health - Health Topics - Men's Health | 90 | Users browsing for information about Men's Health | -2147470998 |
| RU Aidata - Health - Health Topics - Parent Health Information | 90 | Users browsing for information about Parent Health | -2147471710 |
| RU Aidata - Health - Health Topics - Skin Care Health | 90 | Users browsing for information about Skin Care Health | -2147471709 |
| RU Aidata - Health - Health Topics - Women's Health | 90 | Users browsing for information about Women's Health | -2147470997 |
| RU Aidata - Health - Interested in Folk Medicine | 90 | Visiters of resources on folk medicine | -2147472432 |
| RU Aidata - Health - Medical Forums and Resources Visitors | 90 | Users browsing for information on medical forums and resources | -2147472431 |
| RU Aidata - Health - Vitamins | 60 | Visitors of online pharmacies of the sections of Vitamins. | -2147472471 |
| RU Aidata - Occupation and Career - Occupation Area - Health Professionals | 90 | Users visiting specialized resources for health professionals. | -2147471769 |
| RU Aidata - Sports and Recreation - Supporters of A Healthy Lifestyle | 90 | Interested in information about a healthy lifestyle | -2147472382 |
| RU AmberData - Finance and Insurance - Health Insurance | 30 | Web visitors of the insurance companies who are interested in life insurance and health | -2147473738 |
| RU AmberData - Health - Acne | 30 | Finding solutions to problems with acne | -2147473785 |
| RU AmberData - Health - Alcoholic and Nicotinic Dependence | 30 | Online pharmacy: means from alcohol and nicotine dependence | -2147473733 |
| RU AmberData - Health - Allergy | 30 | Visits to relevant resources - specialized forums, search for drugs, medical specialists | -2147473784 |
| RU AmberData - Health - Aromatherapy | 30 | Online pharmacy: aromatherapy | -2147473783 |
| RU AmberData - Health - Bio Active Additives | 30 | Online pharmacy: bio active additives | -2147473732 |
| RU AmberData - Health - Cosmetics, Care and Hygiene | 30 | Online pharmacy: cosmetics, care and hygiene | -2147473916 |
| RU AmberData - Health - Dental Care | 30 | Searching the products for oral care | -2147473782 |
| RU AmberData - Health - Dermatology | 30 | The search for solutions to the problems of dermatology- medicines advice, doctors | -2147473781 |
| RU AmberData - Health - Diets, Nutrition | 30 | The search for solutions in the field of dietetics | -2147473965 |
| RU AmberData - Health - Folk Medicine | 30 | Resources devoted to the folk medicine | -2147473780 |
| RU AmberData - Health - Food | 30 | Online pharmacy: diet food | -2147473731 |
| RU AmberData - Health - Headaches, Migraines | 30 | The search for solutions to the problems of migraines - medicines advice, doctors | -2147473966 |
| RU AmberData - Health - Health | 30 | Users who are interested in the subject of health, medical and related products | -2147473730 |
| RU AmberData - Health - Healthy Living | 30 | Users who visit sites - clubs about healthy lifestyle | -2147473779 |
| RU AmberData - Health - Medical Treatment | 30 | Users accessing resources, directory of medical clinics offering a variety of services, including dental | -2147473729 |
| RU AmberData - Health - Men's Health | 30 | Resources about men's health | -2147473915 |
| RU AmberData - Health - Pharmacy | 30 | Online pharmacy | -2147473778 |
| RU AmberData - Health - Pregnancy | 30 | Visitors of the content for expectant mothers | -2147473777 |
| RU AmberData - Health - Products For Mother and Child | 30 | Online Pharmacy: products for Mother and Child | -2147473776 |
| RU AmberData - Health - Sports and Fitness and Yoga | 30 | Users who are interested in the theme of a healthy lifestyle: exercise, fitness, yoga, etc. | -2147473775 |
| RU AmberData - Health - Vision | 30 | Visitors of the content subject "Protection and restoration of vision" | -2147473774 |
| RU AmberData - Health - Vitamins | 30 | Online Pharmacy: vitamins | -2147473773 |
| RU AmberData - Health - Weight Loss | 30 | Users who are interested in tools and techniques for weight loss | -2147473772 |
| RU AmberData - Health - Women's Calendar | 30 | Users are interested in "women's calendar" | -2147473977 |
| RU AmberData - Health - Women's Health | 30 | Resources about women's health | -2147473976 |
| RU AmberData - Online Store Users - Health and Beauty | 30 | Customers of online stores who are interested in buying beauty products | -2147473686 |
| SE GfK - Purchasing Power - Retail - Health and Personal Care - High | 90 | Individuals with high level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466405 |
| SE GfK - Purchasing Power - Retail - Health and Personal Care - Low | 90 | Individuals with low level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466330 |
| SE GfK - Purchasing Power - Retail - Health and Personal Care - Medium | 90 | Individuals with medium level purchasing power for medicinal and orthopedic articles, pharmaceutical items, body-care and cosmetic items, personal care products | -2147466329 |
| Southeast Asia (SEA) - Interest - Health and Fitness | 30 | Southeast Asian Users: With Interest in Health and Fitness | - |
| TH AimMatic - Interest - AA TTS Health and Fitness | 15 | TH Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466553 |
| TH AimMatic - Interest - AAA TTS Health and Fitness | 15 | TH Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Health and Fitness | -2147466554 |
| TR Onedio - Interest - Lifestyle - Health | 120 | Users that are interested in health | -2147445061 |
| TR ReklamStore - B2B - Industry - Healthcare and Health Services | 30 | Users with B2B purchase intent for Healthcare and Health Services industry | -2147463749 |
| TR ReklamStore - Demographic - Occupation - Medical - Healthcare Professionals | 30 | Users who work as Healthcare Professionals | -2147463501 |
| TR ReklamStore - Intent - Shopping - Health and Beauty | 30 | Users with purchase intent for health and beauty products | -2147463485 |
| TR ReklamStore - Interest - Family - Healthy Living | 30 | Users who are interested in healthy products | -2147463218 |
| TR ReklamStore - Interest - Women's Interests - Health | 30 | Users who are interested in Health | -2147463126 |
| UK CACI - Wellbeing Acorn - Type 25 Healthy, wealthy and wine | 90 | UK Users: Wealthy, large detached houses, senior managerial occupations, mixed family types, very good health, few smokers, high alcohol | caci.wellacorn.25 |
| UK GfK - FRS - Financial Products - Insurance - Health Insurance Holder | 90 | Has Health Insurance | ukgfk.finprod.insu.healthinsu |
| UK Kantar Media TGI - Insurance - Have Private Health Insurance | 90 | UK Users: Who have Private Health Insurance | ktgi.i.hphi |
| UK OmniDIGITAL by MeritDirect - Industry - Healthcare / Medical | 90 | This segment targets Healthcare/Medical Industry | ukmerit.ind.healthmed |
| UK Transactis - Purchase Category - Reach - Autumn Shoppers - Healthy Life | 90 | Households that purchase more healthy life products in autumn | -2147439429 |
| UK Transactis - Purchase Category - Reach - Healthy Food Buyers | 90 | Households that purchase Healthy food | -2147439466 |
| UK Transactis - Purchase Category - Reach - Summer Shoppers - Healthy Life | 90 | Households that purchase more healthy life products in summer | -2147439460 |
| UK Transactis - Purchase Category - Reach - Winter Shoppers - Healthy Life | 90 | Households that purchase more healthy life products in winter | -2147439446 |
| UK YouGov - Media - Magazine Types Read - Health - Fitness | 90 | Users that are likley to read Magazines on Health and Fitness | -2147478979 |
| US 33Across - 33Across AudienceID - Health | 30 | Users who are interested in all areas of health including fitness, nutrition, and healthcare. | bd33.audienceid.health |
| US 33Across - 33Across AudienceID - Health - Aging | 30 | Users who are interested in the health of the aging including remedies and tips. | bd33.audienceid.health.aging |
| US 33Across - 33Across AudienceID - Health - Alternative Medicine | 30 | Users who are interested in alternative health information, products, and services. | bd33.audienceid.health.alternative |
| US 33Across - 33Across AudienceID - Health - Beauty | 30 | Users who are interested in beauty products, services, materials, and tips. | bd33.audienceid.health.beauty |
| US 33Across - 33Across AudienceID - Health - Child Health | 30 | Users who are interested in health products, services, and materials pertaining to child health. | bd33.audienceid.health.child |
| US 33Across - 33Across AudienceID - Health - Education | 30 | Users who are interested in specific health education for personal and professional reasons. | bd33.audienceid.health.education |
| US 33Across - 33Across AudienceID - Health - Fitness | 30 | Users who are interested in health and fitness products and services. | bd33.audienceid.health.fitness |
| US 33Across - 33Across AudienceID - Health - Fitness - Advice and Guides | 30 | Users who are interested in materials pertaining to a healthy lifestyle. | bd33.audienceid.health.fitness.advice |
| US 33Across - 33Across AudienceID - Health - Healthcare Industry | 30 | Users who are interested in the healthcare industry such as specialties, benefits, professions, etc. | bd33.audienceid.health.healthcare |
| US 33Across - 33Across AudienceID - Health - Insurance | 30 | Users who are interested in services pertaining to health insurance. | bd33.audienceid.health.insurance |
| US 33Across - 33Across AudienceID - Health - Men's Health | 30 | Users who are interested in men's health products, services, tools, and conditions. | bd33.audienceid.health.mens |
| US 33Across - 33Across AudienceID - Health - Men's Health - Nutrition | 30 | Users who are interested in men specific nutritional tips, tools, and products. | bd33.audienceid.health.mens.nutrition |
| US 33Across - 33Across AudienceID - Health - Men's Health - Products | 30 | Users who are interested in men's specific products. | bd33.audienceid.health.mens.products |
| US 33Across - 33Across AudienceID - Health - News and Media | 30 | Users who are interested in the latest news and information pertaining to the health industry. | bd33.audienceid.health.news |
| US 33Across - 33Across AudienceID - Health - Nutrition | 30 | Users who are interested in nutritional information, products, services, and materials. | bd33.audienceid.health.nutrition |
| US 33Across - 33Across AudienceID - Health - Nutrition - Dietitians and Nutritionists | 30 | Users who are interested in dietitians and nutritionists services. | bd33.audienceid.health.nutrition.dietitian |
| US 33Across - 33Across AudienceID - Health - Nutrition - Infant and Toddlers | 30 | Users who are interested in infant and toddler nutrition. | bd33.audienceid.health.nutrition.infant |
| US 33Across - 33Across AudienceID - Health - Nutrition - News and Media | 30 | Users who are interested in the latest news and information pertaining to nutritional health and well-being. | bd33.audienceid.health.nutrition.news |
| US 33Across - 33Across AudienceID - Health - Nutrition - Organic Food | 30 | Users who are interested in all organic foods. | bd33.audienceid.health.nutrition.organic |
| US 33Across - 33Across AudienceID - Health - Nutrition - Senior | 30 | Users who are interested in nutrition for the aging. | bd33.audienceid.health.nutrition.senior |
| US 33Across - 33Across AudienceID - Health - Nutrition - Special Diets | 30 | Users who are interested in nutrition pertaining to those with special diet restrictions. | bd33.audienceid.health.nutrition.special |
| US 33Across - 33Across AudienceID - Health - Senior Health | 30 | Users who are interested in products and services pertaining to senior health | bd33.audienceid.health.senior |
| US 33Across - 33Across AudienceID - Health - Weight Loss | 30 | Users who are interested in products, services, and tools pertaining to weight loss. | bd33.audienceid.health.weightloss |
| US 33Across - 33Across AudienceID - Health - Women's Health | 30 | Users who are interested in women's health products, services, tools, and conditions. | bd33.audienceid.health.womens |
| US 33Across - 33Across AudienceID - Health - Women's Health - Nutrition | 30 | Users who are interested in women specific nutritional tips, tools, and products. | bd33.audienceid.health.womens.nutrition |
| US 33Across - 33Across AudienceID - Health - Women's Health - Products | 30 | Users who are interested in women's specific products. | bd33.audienceid.health.womens.products |
| US 33Across - 33Across AudienceID - Personal Care - Health and Wellness | 30 | Users seeking information and products pertaining to nutrition, weight-loss, low calorie, gluten free, diets, and healthy lifestyles. | bd33.audienceid.personal.health |
| US 33Across - 33Across AudienceID - Personal Care - Healthcare | 30 | Users seeking doctor and hospital reviews, health news, and forums. | bd33.audienceid.personal.healthcare |
| US 33Across - 33Across AudienceID - Personal Care - Healthy Living | 30 | Users actively searching for materials, products, and services pertaining to a healthy lifestyle. | bd33.audienceid.personal.healthy |
| US 33Across - 33Across AudienceID - Personal Care - Men's Health and Fitness | 30 | Users actively searching and interested information pertaining to men's health and fitness | bd33.audienceid.personal.mens |
| US 33Across - 33Across AudienceID - Personal Care - Women's Health and Fitness | 30 | Users actively searching and interested in information pertaining to women's health and fitness | bd33.audienceid.personal.womens |
| US ALC - B2B - Demographic - Employment Industry - Healthcare | 90 | Decision makers at companies primarily engaged in furnishing medical, surgical, and other health services to individuals, including hospitals, clinics and medical offices. | -2147463908 |
| US ALC - B2B - Demographic - Employment Industry - Healthcare - Hospitals | 90 | Decision makers at companies primarily engaged in providing general medical and surgical services and other hospital services. | -2147463954 |
| US ALC - B2B - Demographic - Employment Industry - Healthcare - Medical Offices and Clinics | 90 | Decision makers at companies primarily engaged in furnishing medical, surgical and other health services to individuals, including individual practitioners, clinics and group clinics. | -2147463953 |
| US ALC - B2B - Demographic - Employment Industry - Healthcare - Nursing Care Facilities and Home Health Care | 90 | Decision makers at companies primarily engaged in providing inpatient nursing and rehabilitative services to patients who require continuous health care; and Decision makers at companies primarily engaged in providing skilled nursing or medical care in the home. | -2147463871 |
| US ALC - B2B - Demographic - Employment Industry - Insurance - Accident and Health | 90 | Decision makers at companies primarily engaged in underwriting accident and health insurance. | -2147463867 |
| US ALC - B2B - Demographic - Employment Industry - Medical and Health Services | 90 | Decision makers in the area of Medical & Health Services. | -2147463996 |
| US ALC - B2B - Demographic - Employment Industry - Medical and Health Services - Dentists and Dental Professionals | 90 | Decision makers in the area of Medical & Health Services: Dentists & Dental Decision makers. | -2147463836 |
| US ALC - B2B - Demographic - Employment Industry - Medical and Health Services - Doctors, Physicians and Surgeons | 90 | Decision makers in the area of Medical & Health Services: Doctors, Physicians & Surgeons. | -2147463797 |
| US ALC - B2B - Demographic - Employment Industry - Medical and Health Services - Nurses | 90 | Decision makers in the area of Medical & Health Services: Nurses. | -2147463855 |
| US ALC - B2B - Demographic - Employment Industry - Medical and Health Services - Pharmacists | 90 | Decision makers in the area of Medical & Health Services: Pharmacists. | -2147463835 |
| US ALC - Demographic - Affluent - Donors - Health Related Causes | 90 | Affluent donors to health-related causes. | -2147463986 |
| US ALC - Demographic - Employment Industry - Allied Health Practitioners | 90 | Individuals who are Allied Healthcare Practioners. | -2147464025 |
| US ALC - Lifestyle - Donors - Health | 90 | Individuals who support Health causes financially. Sources: Self-reported surveys, Registrations and Buying Activity. | -2147439354 |
| US ALC - Past Purchases - Health and Beauty | 90 | A purchase of Health & Beauty products has occurred within the last 12 months. Sources: Self-reported surveys, Registrations and Buying Activity. | -2147439261 |
| US ALC - Past Purchases - Magazines - Health | 90 | A purchase of Health Magazines has occurred within the last 12 months. Sources: Self-reported surveys, Registrations and Buying Activity. | -2147439235 |
| US Dun & Bradstreet - B2B Industry - Healthcare | 90 | This segment contains people working in the Health Care industry. Sample titles include: Neonatal-perinatal Medicine, Ophthalmology/pediatrics, Chiropractor/owner, Critical Care Medicine, Chief Of Family Practice | -2147462464 |
| US Dun & Bradstreet - B2B Industry - Healthcare - Ambulatory Services | 90 | This segment contains people working in the Health Care industry, specifically in the field of Ambulatory Services. Sample titles include: Oral & Maxillofacial Surgeon, Pediatrician Adolescent Medcine, Ophthalmic Technician, Pulmonary Critical Care | -2147462549 |
| US Dun & Bradstreet - B2B Industry - Healthcare - Hospitals | 90 | This segment contains people working in the Health Care industry, specifically in the field of Hospitals. Sample titles include: Chief Of Emergency Room, Clinical Coordinator Of ER, Chief Of Radiology Services, Director Patient Care, Director Of Admissions Services | -2147462463 |
| US Dun & Bradstreet - B2B Industry - Healthcare - Nursing and Residential Care | 90 | This segment contains people working in the Health Care industry, specifically in the field of Nursing and Residential Care. Sample Titles Include: Director In-Service Education, Social Services Director, Director Of Records, Central Supply Coordinator, Physical Therapy Director | -2147462461 |
| US Dun & Bradstreet - B2B Industry - Healthcare - OBGYN | 90 | This segment contains people working in the Health Care industry, specifically in the field of OBGYN. Sample titles include: MD, Physician, Manager, Office Manager, Medical Doctor | -2147462548 |
| US Dun & Bradstreet - B2B Industry - Healthcare - Offices of Dentists | 90 | This segment contains people working in the Health Care industry, specifically in the offices of Dentists. Sample titles include: Dentist, DDS, Doctor of Dental Surgery, General Dentist, Dental Hygienist | -2147462547 |
| US Dun & Bradstreet - B2B Industry - Healthcare - Offices of Physicians | 90 | This segment contains people working in the Health Care industry, specifically in the offices of Physicians. Sample titles include: MD, Physician, Medical Doctor, Doctor, Family Practitioner | -2147462462 |
| US Dun & Bradstreet - B2B Industry - Healthcare - Social Assistance | 90 | This segment contains people working in the Health Care industry, specifically in the field of Social Assistance. Sample titles include: Child Psychiatrist, Licensed Clinical Social Worker | -2147462460 |
| US Dun & Bradstreet - B2B Industry - Retail Trade - Health and Personal Care | 90 | This segment contains people working in the Retail Trade industry, specifically in the field of Health and Personal Care. Sample titles include: Independent Beauty Consultant, Director Payer Relations, Independent Sales Director, Manager Pharmacy Enrollments, Medicare Administrator | -2147462340 |
| US Dun & Bradstreet - B2B Job Function / Roles - Healthcare | 90 | This segment contains people working in a Health Care capacity. Sample titles include: Staff Pharmacist, Nurse Practitioner, Internal Medicine, Physicians Assistant, Family Practitioner | -2147462297 |
| US Dun & Bradstreet - B2B Job Function / Roles - Healthcare - Dentists | 90 | This segment contains people working in a Health Care capacity, specifically as a Dentist. Sample titles include: Dentist, Dental Assistant, General Dentist, Doctor of Dental Surgery, Owner/Dentist | -2147462296 |
| US Dun & Bradstreet - B2B Job Function / Roles - Healthcare - Medical Doctors / General Practitioners | 90 | This segment contains people working in a Health Care capacity, specifically as a General Practitioner. Sample titles include: Physician, Doctor, Doctor of Medicine | -2147462295 |
| US Dun & Bradstreet - B2B Job Function / Roles - Healthcare - Nurses | 90 | This segment contains people working in a Health Care capacity, specifically as a Nurse or Physician's Assistant. Sample titles include: Nurse, Registered Nurse, Nurse Practitioner, School Nurse, Physician Assistant | -2147462294 |
| US Dun & Bradstreet - B2B Job Function / Roles - Healthcare - Surgeons | 90 | This segment contains people working in a Health Care capacity, specifically as a Surgeon. Sample titles include: Surgeon, Orthopedic Surgeon, General Surgeon, Plastic Surgeon, Vascular Surgeon | -2147462293 |
| US Experian - Business - Standard Industrial Classification (SIC) - Health Services | 90 | This segment includes people who are likely to work for businesses involved in the health services industry. Based on the Standard Industrial Classification Codes (SIC). | usexp.biz.sic.hs |
| US Experian - Demographics - Occupation - Professional: Legal / Education and Health Practitioners | 90 | This segment includes consumers who are likely to have an occupation -- Legal/Education and Health Practitioner | usexp.demo.occ.prof |
| US Experian - Lifestyle and Interests - Health and Diet - Healthy Living - Expanded | 90 | This segment contains consumers who are likely to be interested in healthy living. This expanded segment should be included for additional reach when the corresponding precision segment is selected. | usexp.li.hnd.hl.ex |
| US Experian - Lifestyle and Interests - Health and Diet - Healthy Living - Precision | 90 | This segment contains consumers who are likely to be interested in healthy living. Precision targets the top ranked tiers within this audience. | usexp.li.hnd.hl.pre |
| US Experian - Lifestyle and Interests - Health and Diet - On a Diet - Expanded | 90 | This segment contains consumers who are likely to try new diets on a regular basis. This expanded segment should be included for additional reach when the corresponding precision segment is selected. | usexp.li.hnd.ondiet.ex |
| US Experian - Lifestyle and Interests - Health and Diet - On a Diet - Precision | 90 | This segment contains consumers who are likely to try new diets on a regular basis. Precision targets the top ranked tiers within this audience. | usexp.li.hnd.ondiet.pre |
| US Experian - Lifestyle and Interests - Health and Diet - Weight Conscious - Expanded | 90 | This segment contains consumers who are likely to be weight conscious. This expanded segment should be included for additional reach when the corresponding precision segment is selected. | usexp.li.hnd.weightcon.ex |
| US Experian - Lifestyle and Interests - Health and Diet - Weight Conscious - Precision | 90 | This segment contains consumers who are likely to be weight conscious. Precision targets the top ranked tiers within this audience. | usexp.li.hnd.weightcon.pre |
| US Experian - Past Purchase - Vitamins / Health Products - Dollars Spent: $1-$30 | 90 | This segment contains consumers who are likely to have spent $1-$30 dollars on vitamins/health products over the last 48 months. | usexp.pp.vit.30 |
| US Experian - Past Purchase - Vitamins / Health Products - Dollars Spent: $219-$9,999 | 90 | This segment contains consumers who are likely to have spent $219-$9999 dollars on vitamins/health products over the last 48 months. | usexp.pp.vit.9999 |
| US Experian - Past Purchase - Vitamins / Health Products - Dollars Spent: $31-$218 | 90 | This segment contains consumers who are likely to have spent $31-$218 dollars on vitamins/health products over the last 48 months. | usexp.pp.vit.218 |
| US Experian - Past Purchase - Vitamins / Health Products - Number of Purchases: 5-999 | 90 | This segment contains consumers who are likely to have made 5+ purchases of vitamins/health products. | usexp.pp.vit.nop |
| US Experian - Past Purchase - Vitamins / Health Products - Power Buyer | 90 | This segment contains consumers who are likely to have the highest propensity to purchase vitamins/health products. | usexp.pp.vit.powerbuy |
| US Experian - Psychographic / Attitudes - Health and Diet Attitudes - Image Leader - Expanded | 90 | This segment contains consumers who are likely to try any new health and nutrition products, actively be a health information source for others, willing to spend whatever it takes to look younger and try any diet. This expanded segment should be included for additional reach when the corresponding precision segment is selected. | usexp.psy.hnda.imglead.ex |
| US Experian - Psychographic / Attitudes - Health and Diet Attitudes - Image Leader - Precision | 90 | This segment contains consumers who are likely to try any new health and nutrition products, actively be a health information source for others, willing to spend whatever it takes to look younger and try any diet. Precision targets the top ranked tiers within this audience. | usexp.psy.hnda.imglead.pre |
| US Experian - Psychographic / Attitudes - Health and Well Being - Healthy Holistics | 90 | This segment contains consumers who are likely to be Health and Well Being "Healthy Holistics". Based on the statistical analysis of consumers that are committed to exercise and making healthy choices when they shop or eat. These lifestyle choices help them to stay in good health and ward off illness and disease. | usexp.psy.hnwb.healhol |
| US Experian - Psychographic / Attitudes - Health and Well Being - Image Shapers | 90 | This segment contains consumers who are likely to be Health and Well Being "Image Shapers". Based on the statistical analysis of consumers that believe looking good means healthy. Convenience and healthy choices can—and do—go together for this group. | usexp.psy.hnwb.imgshape |
| US Experian - Psychographic / Attitudes - Health and Well Being - Invincibles | 90 | This segment contains consumers who are likely to be Health and Well Being "Invincibles". Based on the statistical analysis of consumers that have reported to be unconcerned about their health. | usexp.psy.hnwb.invinc |
| US Experian - Psychographic / Attitudes - Health and Well Being - Trusting Patients | 90 | This segment contains consumers who are likely to be Health and Well Being "Trusting Patients". Based on the statistical analysis of consumers that rely on doctors and are aware of and follow healthy eating and lifestyle practices. | usexp.psy.hnwb.trustpat |
| US Experian - Psychographic / Attitudes - Health and Well Being - Weight Reformers | 90 | This segment contains consumers who are likely to be Health and Well Being "Weight Reformers". Based on the statistical analysis of consumers that constantly struggle with health food choices as they try to find an easy and effective way to improve their diet and health. | usexp.psy.hnwb.weightref |
| US Experian - Purchase Predictors - All Channels - Personal Health | 90 | The Household Consumer Expenditure segment contains consumers who indicate a high propensity to purchase within a specific category. The segment takes into consideration the differences in purchase behavior for the various product categories. | usexp.purchpred.allchan.pershealth |
| US Experian - Purchase Predictors - Brick and Mortar - Personal Health | 90 | This Retail Buyer Propensity contains consumers who are likely to have a high propensity to make an Retail purchase relative to the product category. The segment takes into consideration the differences in purchase behavior for the various product categories. | usexp.purchpred.bnm.pershealth |
| US Experian - Purchase Predictors - Online - Personal Health | 90 | This Online Buyer Propensity segment contains consumers who are likely to have a high propensity to make an online purchase relative to the product category. The segment takes into consideration the differences in purchase behavior for the various product categories. | usexp.purchpred.onl.pershealth |
| US Experian - Reach - Propensity Models - Lifestyle - Healthy Living | 90 | US Users: Indicates household's likelihood to be interested in healthy living. Based on the statistical analysis of consumers that have reported to be very interested in staying healthy by exercising and taking supplements. Values 1-99, 1=highest likelihood. | us.pm.l.hl |
| US Experian - Reach - Propensity Models - Retail - Household Consumer Expenditures - Personal Health | 90 | US Users: Experians Household Consumer Expenditure audience segments target consumers who indicate a high propensity to purchase within a specific category. The model takes into consideration the differences in purchase behavior for the various product categories. | us.pm.r.hce.ph |
| US Experian - Reach - Propensity Models - Retail - Online - Personal Health | 90 | US Users: Experians Online Buyer Propensity audience segments targets consumers who indicate a high propensity to make an online purchase relative to the product category. The model takes into consideration the differences in purchase behavior for the various product categories. | us.pm.r.o.ph |
| US Kantar Media MARS - Health Shopping Behavior - Use Both Rx and OTC | 90 | Users who often/very often take Rx and non-Rx medicine at same time. Based on respondents who very often take Rx and non-Rx medicine at same time. | -2147439906 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Cosmetic Surgery Inclined | 90 | Agree they would consider cosmetic surgery for themselves now or in the future. Based on anti-aging attitudes. | -2147439991 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Doctor Led, Value Doctors' Opinions | 90 | Defer to the judgement and advice of their healthcare professional. Based on various health-related behavioral and attitudinal questions. | -2147439903 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Elite Receptives, Open to Most Healthcare Messaging | 90 | Users who most value and are most receptive to health and wellness information sources | -2147465496 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Engaged Yet Neutral on Healthcare Ads | 90 | Highly value a majority of non-ad info including search and social. Although they notice HC ads, they don't rate them as highly valuable. Based on various health-related behavioral and attitudinal questions. | -2147440000 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy: Food | 90 | Food allergy sufferer. Based on conditions ever experienced/last 12 month experienced questions. | -2147439902 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Frequent Doctor Visitor | 90 | Users who visit the doctor frequently | -2147465399 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Future Prospects to Experience Poor Health | 90 | Relatively healthy now, but are at risk to experience poor health in the future given their unfavorable healthcare attitudes and behavior. They are less likely to visit a doctor or to take prescription drugs. Based on: Various health-related behavioral and attitudinal questions. | -2147440002 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy: Children's with OTC treatment | 90 | Any OTC allergy child last 12 months. Based on other family member, children's health question. | -2147439992 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy: Grass | 90 | Grass allergy sufferer. Based on conditions ever experienced/last 12 month experienced questions. | -2147439885 |
| US Kantar Media MARS - Health Insurance - Health Insurance Drug Plan | 90 | Purchase medication from a prescription drug plan separate from their health insurance. Based on respondents who purchased Rx drugs from a prescription drug plan separate from their health insurance. | -2147439905 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Value Social Media for Information | 90 | Users who trust medical information from online communities, support groups, social media. Based on respondents who value very much social network websites, online communities, support groups or strongly agree they trust the medical information other people share on social media, or strongly agree they are more comfortable talking about health and wellness concerns online than they are face-to-face. | -2147440013 |
| US Kantar Media MARS - Exercise and Nutrition - Healthy Eating Habits | 90 | Eat healthy food and maintain a balanced healthy diet. Based on people who agree a lot that they always try to eat healthy foods, maintain a balanced diet and they rate their diet at home as healthy. | -2147440007 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Healthy Independents, Optimistic Health Outlook | 90 | Have an optimistic outlook toward health. They do not take many Rx drugs or seek help from doctors very often. However, they are motivated to maintain health to look good. Based on: Various health-related behavioral and attitudinal questions. | -2147440001 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Hospital or Emergency Room (ER) Users | 90 | Respondents received medical services in a hospital or in an Emergency Room (ER). Based on respondents who visited hospital or ER at least once in last 12 months | -2147439915 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Value Regular Medical Check-Ups | 90 | Believe regular medical check-ups are extremely important. Based on respondents who said regular medical check-ups are extremely important. | -2147440004 |
| US Kantar Media MARS - Mobile Health App Use - App Willing if Recommended | 90 | Users would use health app if a doctor or insurance provider recommended | -2147465494 |
| US Kantar Media MARS - Mobile Health App Use - Use Health Apps | 90 | Health app users | -2147465393 |
| US Kantar Media MARS - Health Shopping Behavior - Multiple Rx Purchasers | 90 | Six or more Rx in a year. Based on respondents who purchased 6 or more prescriptions for themselves in the last 12 months. | -2147439886 |
| US Kantar Media MARS - Health Insurance - No Health Insurance | 90 | No health insurance. Based on respondents who don't have health insurance. | -2147439981 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Use Internet to Research Condition / Treatment Related Content | 90 | Users that actively use Internet to research for condition-related content, treatments, options | -2147465392 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Use Internet to Research Health Services | 90 | Users who use the Internet to research health services | -2147465493 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Use Smartphone for Health Related Activities | 90 | Users that perform health activities on a mobile phone | -2147465391 |
| US Kantar Media MARS - Health Shopping Behavior - Purchase Medication Online | 90 | Users who purchase medication online. Based on respondents who purchased medication online in the last 12 months (from the club store's website, drug store chain's website, amazon, online pharmacies based inside/outside the U.S.). | -2147439907 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Take or Refill Rx after Seeing Healthcare Ads | 90 | Users who, after seeing healthcare ads, take medication or refill prescriptions | -2147465492 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Ailing But Willing to listen to Advice | 90 | Users who suffer from more conditions, less optimistic about future health, follow doctors advice but are willing to listen advice to improve/maintain health | -2147465491 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Proactive Patients | 90 | Users that have health conditions but are proactively involved to prevent and improve, high value placed on doctor and other HC info sources | -2147465390 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Pessimistic Health Outlook | 90 | People who have a somewhat or very pessimistic outlook regarding their future health. Based on people who have a somewhat or very pessimistic outlook regarding their future health. | -2147439910 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy: Pet | 90 | Pet allergy sufferer. Based on conditions ever experienced/last 12 month experienced questions. | -2147439901 |
| US Kantar Media MARS - Health Insurance - Prescription Savings Plan | 90 | Purchase medications by a prescription savings plan or card that they use at in-network or major pharmacies. Based on respondents who purchased Rx drugs by a prescription savings plan or card that they use at in-network or major pharmacies. | -2147439980 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy: Ragweed | 90 | Ragweed allergy sufferer. Based on conditions ever experienced/last 12 month experienced questions. | -2147439999 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Relevant Right Now, Value Relevant Healthcare Information | 90 | Value healthcare information that is convenient and relevant to their situation. After the healthcare professional they rate point-of-care media, health-related publications and health information sites as valuable. Based on various health-related behavioral and attitudinal questions. | -2147439904 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Prefer OTC over Seeing Doctor | 90 | Users who prefer over-the-counter medications over seeing doctor | -2147465389 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Value Prescription Medications | 90 | Users who are brand loyal for pharmaceuticals | -2147465489 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Go Online after Seeing Healthcare Ads | 90 | Users who, after seeing healthcare ads, go online for more information | -2147465488 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Engage Doctor after Seeing Healthcare Ads | 90 | Users who, after seeing healthcare ads, meet with their doctor | -2147465487 |
| US Kantar Media MARS - Health Shopping Behavior - Receptive to Rx Coupons | 90 | Willing to try another drug brand if they get a coupon for it. Based on respondents who strongly agree will try another drug brand if they get a coupon for it. | -2147439908 |
| US Kantar Media MARS - Health Conditions and Treatments - Acid Reflux / GERD with OTC treatment | 90 | Use OTC in last 12 to treat acid reflex. Based on treatment options question. | -2147439979 |
| US Kantar Media MARS - Health Conditions and Treatments - Adult Acne with OTC treatment | 90 | Use OTC in last 12 to treat adult acne. Based on treatment options question. | -2147439900 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy with OTC treatment | 90 | Use OTC in last 12 to treat allergy. Based on treatment options question. | -2147439978 |
| US Kantar Media MARS - Health Conditions and Treatments - Cold / Cough / Flu with OTC treatment | 90 | Use OTC in last 12 to treat cold/cough/flu. Based on treatment options question. | -2147439884 |
| US Kantar Media MARS - Health Conditions and Treatments - Constipation / Irregularity with OTC treatment | 90 | Use OTC in last 12 to treat constipation. Based on treatment options question. | -2147439899 |
| US Kantar Media MARS - Health Conditions and Treatments - Gas with OTC treatment | 90 | Use OTC in last 12 to treat gas. Based on treatment options question. | -2147439995 |
| US Kantar Media MARS - Health Conditions and Treatments - Menstrual Cramps / PMS with OTC treatment | 90 | Use OTC in last 12 to treat menstrual cramps/PMS. Based on treatment options question. | -2147439898 |
| US Kantar Media MARS - Health Conditions and Treatments - Migraine Headache with OTC treatment | 90 | Use OTC in last 12 to treat migraine headache. Based on treatment options question. | -2147439994 |
| US Kantar Media MARS - Health Conditions and Treatments - Pain with OTC treatment | 90 | Use OTC in last 12 to treat pain. Based on treatment options question. | -2147439897 |
| US Kantar Media MARS - Health Conditions and Treatments - Congestion / Sinus Headache with OTC treatment | 90 | Use OTC in last 12 to treat sinus congestion/sinus headache. Based on treatment options question. | -2147439993 |
| US Kantar Media MARS - Health Conditions and Treatments - Sleeping Difficulty / Insomnia with OTC treatment | 90 | Use OTC in last 12 to treat sleeping difficulty/insomnia. Based on treatment options question. | -2147439896 |
| US Kantar Media MARS - Health Conditions and Treatments - Allergy: Tree Pollen | 90 | Tree pollen allergy sufferer. Based on conditions ever experienced/last 12 month experienced questions. | -2147439998 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Caregivers | 90 | Users who are caregivers to those in need of health related care | -2147465388 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Health Influencer, Informed and Trusted by Friends | 90 | Users who give advice, referrals and are highly informed about health and medications | -2147465387 |
| US Kantar Media MARS - Health Shopping Behavior - Shop for Products Advertised on TV | 90 | Purchase or look for a product that was advertised on a show they were watching. Based on consumers who purchase or look for a product that was advertised on a show they were watching. | -2147440010 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Urgent Care or Retail Health Users | 90 | Received medical services in an urgent/immediate care/retail health or in-store clinic. Based on respondents who visited Urgent/immediate care/retail health or in-store clinic at least once in last 12 months. | -2147440012 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Value Health - Related Websites for Information | 90 | Value highly health-related websites as sources for healthcare information. Based on users who value highly drug company/brand websites, drug review/ratings websites, health information websites, insurance provider websites, websites dedicated to a particular health condition as sources for healthcare information. | -2147439914 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Value Online Video for health information - Online Video | 90 | Value online videos as sources for healthcare information and for complicated subjects. Based on respondents who agree a lot/somewhat that online videos help me understand complicated subjects and value (very much/somewhat) online videos as sources for healthcare information. | -2147439916 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Value Pharmacists for Information | 90 | Value highly pharmacists as sources for healthcare information. Based on users who value very much pharmacists as sources for healthcare information. | -2147439913 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Valued TV for Health Information | 90 | Value highly television as sources for healthcare information. Based on users who value very much television (programs, ads, online videos) as sources for healthcare information. | -2147440011 |
| US Kantar Media MARS - Mobile Health App Use - App and Wearables Positive Opinion | 90 | Users who feel positive about health wearables and apps | -2147465386 |
| US Kantar Media MARS - Health Attitudes and Behaviors - Weight Loss Surgery Inclined | 90 | Agree that weight loss surgery is an option for themselves. Based on personal health attitudes. | -2147439990 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Cold / Allergy / Sinus Remedy - Seltzer and Night TM Cold | 90 | This segment contains households that are more likely use Seltzer+ Night Tm Cold medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439818 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - First Aid Band / Antibiotic Rem - Betadine | 90 | This segment contains households that are more likely use Betadine medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439732 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - First Aid Band / Antibiotic Rem - Powder | 90 | This segment contains households that are more likely use Powder medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439816 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Headache / Pain Reliever - Use Advil PM | 90 | This segment contains households that are more likely use Use Advil Pm medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439730 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Heartburn / Indigestion Aids - Zantac 150 | 90 | This segment contains households that are more likely use Zantac 150 medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439728 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Pain Relieving Rubs / Liquids / Wraps - Tiger Balm | 90 | This segment contains households that are more likely use Tiger Balm medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439500 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Suffered Acne Last 12 Months | 90 | This segment contains households that are more likely to have suffered acne in the past 12 months. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439727 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Vitamin / Mineral Brand - Use Emergen-C | 90 | This segment contains households that are more likely use Use-Emergen-C medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439726 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Vitamin / Mineral Brand - Use One-A-Day 50+ | 90 | This segment contains households that are more likely use Use One-A-Day 50+ medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439725 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Vitamin / Mineral-Use B Complex With C (Stress) | 90 | This segment contains households that are more likely use Use B Complex With C (Stress) medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439813 |
| US Neustar - Healthcare Products - Medicine - Drugs / Ailments - Wear Contact Lenses - Extended Wear | 90 | This segment contains households that are more likely use Extended Wear medicine. Primarily industry-specific survey based panel data and consumer based web transactions that are anonymized and E1 coded. Neustar utilizes a nationally recognized, opt-in survey of 25,000+ respondents. | -2147439724 |
| US Neustar - Lifestyle Statements - Health and Diet - Active Health Management - Above Average | 90 | This segment contains households that are more likely to be Above Average in Active Health Management compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439710 |
| US Neustar - Lifestyle Statements - Health and Diet - Active Health Management - Average | 90 | This segment contains households that are more likely to be Average in Active Health Management compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439795 |
| US Neustar - Lifestyle Statements - Health and Diet - Active Health Management - Below Average | 90 | This segment contains households that are more likely to be Below Average in Active Health Management compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439794 |
| US Neustar - Lifestyle Statements - Health and Diet - Active Health Management - Far Above Average | 90 | This segment contains households that are more likely to be Far Above Average in Active Health Management compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439709 |
| US Neustar - Lifestyle Statements - Health and Diet - Active Health Management - Far Below Average | 90 | This segment contains households that are more likely to be Far Below Average in Active Health Management compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439793 |
| US Neustar - Lifestyle Statements - Health and Diet - Consider My Diet to Be Very Healthy | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: Consider My Diet to Be Very Healthy. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439792 |
| US Neustar - Lifestyle Statements - Health and Diet - Don't Have Time Prepare / Eat Healthy Meal | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: Don't Have Time Prepare/Eat Healthy Meal. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439708 |
| US Neustar - Lifestyle Statements - Health and Diet - Eating Fast Food Helps Me Stay in Budget | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: Eating Fast Food Helps Me Stay in Budget. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439791 |
| US Neustar - Lifestyle Statements - Health and Diet - Friends Ask My Advice About Health / Nutrition | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: Friends Ask My Advice About Health/Nutrition. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439790 |
| US Neustar - Lifestyle Statements - Health and Diet - Health and Image Leader - Above Average | 90 | This segment contains households that are more likely to be Above Average as a Health & Image Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439707 |
| US Neustar - Lifestyle Statements - Health and Diet - Health and Image Leader - Average | 90 | This segment contains households that are more likely to be Average as a Health & Image Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439788 |
| US Neustar - Lifestyle Statements - Health and Diet - Health and Image Leader - Below Average | 90 | This segment contains households that are more likely to be Below Average as a Health & Image Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439706 |
| US Neustar - Lifestyle Statements - Health and Diet - Health and Image Leader - Far Above Average | 90 | This segment contains households that are more likely to be Far Above Average as a Health & Image Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439705 |
| US Neustar - Lifestyle Statements - Health and Diet - Health and Image Leader - Far Below Average | 90 | This segment contains households that are more likely to be Far Below Average as a Health & Image Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439704 |
| US Neustar - Lifestyle Statements - Health and Diet - I Make Sure I Exercise Regularly | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: I Make Sure I Exercise Regularly. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439702 |
| US Neustar - Lifestyle Statements - Health and Diet - I Often Feel I Over-Eat | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: I Often Feel I Over-Eat. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439700 |
| US Neustar - Lifestyle Statements - Health and Diet - I Treat Myself to Foods Not Good for Me | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: I Treat Myself to Foods Not Good for Me. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439784 |
| US Neustar - Lifestyle Statements - Health and Diet - I Trend Towards Healthier Fast Food | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: I Trend Towards Healthier Fast Food. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439698 |
| US Neustar - Lifestyle Statements - Health and Diet - I'll Try Any New Diet | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: I'll Try Any New Diet. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439697 |
| US Neustar - Lifestyle Statements - Health and Diet - I'm Usually First to Try New Health Food | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: I'm Usually First to Try New Health Food. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439588 |
| US Neustar - Lifestyle Statements - Health and Diet - Shop For Food, Look For Organic / Natural | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: Shop For Food, Look For Organic/Natural. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439696 |
| US Neustar - Lifestyle Statements - Health and Diet - Too Busy to Take Care of Myself as I Should | 90 | This segment contains households that are more likely to have this opinion in Health and Diet: Too Busy to Take Care of Myself as I Should. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439695 |
| US Neustar - Lifestyle Statements - Pharma - Health Info by Drug Companies Is Useful | 90 | This segment contains households that are more likely to have this opinion in Pharma: Health Info by Drug Companies Is Useful compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439682 |
| US Neustar - Lifestyle Statements - Pharma - I am Comfortable to Register on Health Websites | 90 | This segment contains households that are more likely to have this opinion in Pharma: I am Comfortable to Register on Health Websites compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439772 |
| US Neustar - Lifestyle Statements - Pharma - I Gather Health Info From Newsletters | 90 | This segment contains households that are more likely to have this opinion in Pharma: I Gather Health Info From Newsletters compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439681 |
| US Neustar - Lifestyle Statements - Pharma - I Gather Health Information From Website | 90 | This segment contains households that are more likely to have this opinion in Pharma: I Gather Health Info From Newsletters compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439775 |
| US Neustar - Lifestyle Statements - Pharma - I Rely on my Doctor to Guide Me on Medical / Health Matters | 90 | This segment contains households that are more likely to have this opinion in Pharma: I Rely on my Doctor to Guide Me on Medical/Health Matters compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439774 |
| US Neustar - Lifestyle Statements - Pharma - Look Info to Choose Healthcare Treatment | 90 | This segment contains households that are more likely to have this opinion in Pharma: Look Info to Choose Healthcare Treatment compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439771 |
| US Neustar - Lifestyle Statements - Shopping - Look For Organic / Natural in Health / Beauty Products | 90 | This segment contains households that are more likely to have this opinion in Shopping: Look For Organic/Natural in Health/Beauty Products compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439677 |
| US Neustar - Outlook - Healthcare Worker | 90 | This segment contains households that more likely to include a Healthcare Worker (IP). Neustar sources the voter file of 180m records and brings registered voters, registered party affiliations, donor lists, and voting past behaviors online at the household level. | -2147439658 |
| US Neustar - Outlook - Household Has Health Insurance | 90 | This segment contains households that more likely to have Health Insurance. Neustar sources the voter file of 180m records and brings registered voters, registered party affiliations, donor lists, and voting past behaviors online at the household level. | -2147439657 |
| US Neustar - Outlook - Household has Health Insurance through work | 90 | This segment contains households that more likely to have Health Insurance. Neustar sources the voter file of 180m records and brings registered voters, registered party affiliations, donor lists, and voting past behaviors online at the household level. | -2147439749 |
| US Neustar - Restaurants - Types of Food - Eats Various Healthy Food | 90 | This segment contains households that are more likely to buy healthy food. Primarily Industry specific survey based panel data of over 25,000 respondents, nationally sourced from both English and Spanish speakers. | -2147439648 |
| US OmniDIGITAL by MeritDirect - Business Industry - Accident and Health | 90 | This segment targets Accident and Health by the Specific Qualified Business Industry. | usmd.bizind.ah |
| US OmniDIGITAL by MeritDirect - Business Industry - Healthcare | 90 | This segment targets Healthcare by the Specific Qualified Business Industry. | usmd.bizind.hc |
| US OmniDIGITAL by MeritDirect - Job Function - Health Professionals | 90 | This segment targets Health Professionals by the Specific Qualified Job Function. | usmd.jobf.hlthpro |
| US OmniDIGITAL by MeritDirect - SIC2 Code - Health Services (80) | 90 | This segment targets Health Services (80) by Two Digit SIC Code | usmd.sic2.hlthserv |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Chiropractor | 90 | People who are employed in health and work as a chiropractor | -2147471830 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Dental Assistant | 90 | People who are employed in health and works as a dental assistant | -2147471829 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Dental Hygienist | 90 | People who are employed in health and work as a chiropractor | -2147471742 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Dentist | 90 | People who are employed in health and work as a dentist | -2147471826 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Dietician | 90 | People who are employed in health as a dietician | -2147471740 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Medical Assistant | 90 | People who are employed in health as a medical assistant | -2147471739 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Medical Secretary | 90 | People who are employed in health as a medical secretary | -2147471737 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Nurse | 90 | People who are employed in health as a nurse | -2147471822 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Optician | 90 | People who are employed in health as an optician | -2147471820 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Optometrist | 90 | People who are employed in health as an optometrist | -2147471735 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Orderly | 90 | People who are employed in health as an orderly | -2147471734 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Paramedic | 90 | People who are employed in health as a paramedic | -2147471818 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Pharmacist | 90 | People who are employed in health a pharmacist | -2147471817 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Physical Therapist | 90 | People who are employed in health a physical therapist | -2147471733 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Psychologist | 90 | People who are employed in health a psychologist | -2147471816 |
| US Pacific Data Partners - B2B - Employment - Occupations - Health - Therapist | 90 | People who are employed in health a therapist | -2147471815 |
| US Pacific Data Partners - B2B - Functional Area - Medical / Health | 90 | People whose functional area of responsibility is in medical and health | -2147472451 |
| US Pacific Data Partners - B2B - Functional Area - Medical / Health - Dentists | 90 | People whose functional area of responsibility is in medical and health | -2147472110 |
| US Pacific Data Partners - B2B - Functional Area - Medical / Health - Pharmacists | 90 | People whose functional area of responsibility is in medical and health | -2147472181 |
| US Pacific Data Partners - B2B - Industry - Healthcare | 90 | People working in healthcare | -2147472375 |
| US Pacific Data Partners - B2B - Industry - Healthcare - Hospitals and Clinics | 90 | People working at hospitals and clinics | -2147472107 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine | 60 | Filter by professional licenses in health & medicine | -2147463173 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Acupuncturist | 60 | People who likely have a professional license as an acupuncturist | -2147463156 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Advanced Practice Registered Nurse (APRN) | 60 | People who likely have a professional license as an advanced practice registered nurse (APRN) | -2147463155 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Certified Nursing Assistant (CNA) | 60 | People who likely have a professional license as a certified nursing assistant (CNA) | -2147463154 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Chiropractor | 60 | People who likely have a professional license as a chiropractor | -2147463153 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Clinical Laboratory Personnel | 60 | People who likely have a professional license as a clinical laboratory personnel | -2147463104 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Dental Assistant | 60 | People who likely have a professional license as a dental assistant | -2147463152 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Dental Hygenist | 60 | People who likely have a professional license as a dental hygenist | -2147463151 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Dentist | 60 | People who likely have a professional license as a dentist | -2147463150 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Dietitian | 60 | People who likely have a professional license as a dietitian | -2147463149 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Emergency Medical Technician (EMT) | 60 | People who likely have a professional license as an emergency medical technician (EMT) | -2147463148 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Licensed Practical Nurse (LPN) | 60 | People who likely have a professional license as a licensed practical nurse (LPN) | -2147463147 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Licensed Vocational Nurse (LVN) | 60 | People who likely have a professional license as a licensed vocational nurse (LVN) | -2147463103 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Massage Therapist | 60 | People who likely have a professional license as a massage therapist | -2147463102 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Medical Doctor (MD) | 60 | People who likely have a professional license as a medical doctor (MD) | -2147463101 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Occupational Therapist | 60 | People who likely have a professional license as an occupational therapist | -2147463100 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Optometrist | 60 | People who likely have a professional license as an optometrist | -2147463099 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Paramedic | 60 | People who likely have a professional license as a paramedic | -2147463146 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Pharmacist | 60 | People who likely have a professional license as a pharmacist | -2147463145 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Pharmacy | 60 | People who likely have a professional license as a pharmacist | -2147463044 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Physical Therapist | 60 | People who likely have a professional license as a physical therapist | -2147463098 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Physician | 60 | People who likely have a professional license as a physician | -2147463043 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Physician's Assistant | 60 | People who likely have a professional license as a physician's assistant | -2147463097 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Psychiatric Technician | 60 | People who likely have a professional license as a psychiatric technician | -2147463042 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Psychologist | 60 | People who likely have a professional license as a psychologist | -2147463096 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Radiologist | 60 | People who likely have a professional license as a radiologist | -2147463095 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Registered Nurse (RN) | 60 | People who likely have a professional license as a registered nurse (RN) | -2147463041 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Respiratory Care Practitioner | 60 | People who likely have a professional license as a respiratory care practitioner | -2147463094 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Respiratory Therapist | 60 | People who likely have a professional license as a respiratory therapist | -2147463093 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Speech Pathologist | 60 | People who likely have a professional license as a speech pathologist | -2147463092 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Surgeon | 60 | People who likely have a professional license as a surgeon | -2147463040 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Therapist | 60 | People who likely have a professional license as a therapist | -2147463039 |
| US Pacific Data Partners - B2B - Professional Licenses - Health and Medicine - Veterinarian | 60 | People who likely have a professional license as a veterinarian | -2147463038 |
| US Pacific Data Partners - Interest - Health, Beauty and Personal Care | 90 | People who are interested in health, beauty and personal care | -2147472575 |
| US Pacific Data Partners - Interest - Health, Beauty and Personal Care - Nutrition | 90 | People who are interested in nutrition | -2147472143 |
| US Plunge Digital - B2B - Title Function - Medical and Health | 90 | Targetable profiles of individuals with a medical & health title function at a company. | -2147462969 |
| US Plunge Digital - Interest - Food and Cooking - Healthy Eating | 90 | Targetable profiles of individuals who are interested in healthy eating. | -2147462887 |
| US Plunge Digital - Interest - Lifestyle and Other Interests - Health and Medical | 90 | Targetable profiles of individuals with an interest in health and medical. | -2147462823 |
| US Plunge Digital - Interest - Purchase Categories - Health and Beauty Products | 90 | Targetable profiles of individuals who have made a purchase in the health and beauty products category. | -2147462814 |
| US SMS-INC - Occupation - Health Services | 60 | Current Occupation - Health Services | ussms.occ.hs |
| US SMS-INC - Occupation - Health Services - Chiropractor | 60 | Current Occupation - Health Services - Chiropractor | ussms.occ.hs.chiro |
| US SMS-INC - Occupation - Health Services - Dental Assistant | 60 | Current Occupation - Health Services - Dental Assistant | ussms.occ.hs.dentalassist |
| US SMS-INC - Occupation - Health Services - Dental Hygienist | 60 | Current Occupation - Health Services - Dental Hygienist | ussms.occ.hs.hy |
| US SMS-INC - Occupation - Health Services - Dentist | 60 | Current Occupation - Health Services - Dentist | ussms.occ.hs.dentist |
| US SMS-INC - Occupation - Health Services - Dietician | 60 | Current Occupation - Health Services - Dietician | ussms.occ.hs.diet |
| US SMS-INC - Occupation - Health Services - Health Care | 60 | Current Occupation - Health Services - Health Care | ussms.occ.hs.hc |
| US SMS-INC - Occupation - Health Services - Medical / Paramedic | 60 | Current Occupation - Health Services - Medical / Paramedic | ussms.occ.hs.med |
| US SMS-INC - Occupation - Health Services - Medical Assistant | 60 | Current Occupation - Health Services - Medical Assistant | ussms.occ.hs.medass |
| US SMS-INC - Occupation - Health Services - Medical Secretary | 60 | Current Occupation - Health Services - Medical Secretary | ussms.occ.hs.medsec |
| US SMS-INC - Occupation - Health Services - Medical Technician | 60 | Current Occupation - Health Services - Medical Technician | ussms.occ.hs.medtech |
| US SMS-INC - Occupation - Health Services - Nurses Aide / Orderly | 60 | Current Occupation - Health Services - Nurses Aide / Orderly | ussms.occ.hs.nurse |
| US SMS-INC - Occupation - Health Services - Optician | 60 | Current Occupation - Health Services - Optician | ussms.occ.hs.opt |
| US SMS-INC - Occupation - Health Services - Optometrist | 60 | Current Occupation - Health Services - Optometrist | ussms.occ.hs.opto |
| US SMS-INC - Occupation - Health Services - Pharmacist / Pharmacy | 60 | Current Occupation - Health Services - Pharmacist / Pharmacy | ussms.occ.hs.pharm |
| US SMS-INC - Occupation - Health Services - Psychologist | 60 | Current Occupation - Health Services - Psychologist | ussms.occ.hs.psych |
| US SMS-INC - Occupation - Health Services - Technician / Lab | 60 | Current Occupation - Health Services - Technician / Lab | ussms.occ.hs.lab |
| US SMS-INC - Occupation - Health Services - Technician / X-ray | 60 | Current Occupation - Health Services - Technician / X-ray | ussms.occ.hs.xray |
| US SMS-INC - Occupation - Health Services - Therapist | 60 | Current Occupation - Health Services - Therapist | ussms.occ.hs.therap |
| US SMS-INC - Occupation - Health Services - Therapist / Physical | 60 | Current Occupation - Health Services - Therapist / Physical | ussms.occ.hs.physical |
| US SMS-INC - Shopping - Mail Order Buyer - Health and Wellness | 60 | Buyers of Health and Wellness products | ussms.shop.mob.hnw |
| US SMS-INC - Shopping - Mail Order Responder - Exercise - Health | 60 | Interest identified through self-reported surveys: Exercise Health | ussms.shop.mor.ex.health |
| US SMS-INC - Shopping - Mail Order Responder - Health and Beauty | 60 | Interest identified through self-reported surveys: Health and Beauty | ussms.shop.mor.hnb |
| US SMS-INC - Shopping - Mail Order Responder - Health and Fitness | 60 | Interest identified through self-reported surveys: Health and Fitness | ussms.shop.mor.hnf |
| US YouGov - Brand Use and Perception - Finance - Insurance - Current Customer - Unitedhealthcare | 90 | Users that are likely to be a current customer of Unitedhealthcare | -2147469693 |
| US YouGov - General Interest - Health And Fitness | 90 | Users that are interested in Health And Fitness | -2147470420 |
| US YouGov - Media - Magazines - Magazines - Genres Read - Health / Fitness | 90 | Users that are likely to read about Health / Fitness | -2147470126 |
| Demographic - Employment - Health, Medical and Pharmaceutical - Doctor | 90 | Users: Segmented based on career industry declared or registered on a site in the field of Health, Medical and Pharmaceutical, and identified as a Doctor | -2147434632 |
| Demographic - Employment - Health, Medical and Pharmaceutical - Pharmacist | 90 | Users: Segmented based on career industry declared or registered on a site in the field of Health, Medical and Pharmaceutical, and identified as a Pharmacist | -2147434699 |
| DE Schober - B2B - Industry - Doctors, Healthcare and Social Services | 90 | Targetable profiles of doctors and companies operating in healthcare and social services | -2147437218 |
| US Plunge Digital - Interest - Health and Fitness - Healthy Eating | 90 | Targetable profiles of individuals who are interested in Healthy Eating. | -2147436227 |
| Global Bombora - B2B - Functional Area - Medical / Health - Pharmacy | 60 | People involved in preparing and dispensing medications based upon physician orders. | -2147434726 |
| Global Bombora - B2B - Functional Area - Medical / Health - Nursing | 60 | People involved in the administration and delivery of healthcare to patients by providing and coordinating patient care, educating patients on heatlh conditions, and providing patients and families with emotional support. | -2147434725 |
| Global Bombora - B2B - Functional Area - Medical / Health - Physician's Assistants | 60 | People involved in the administration and delivery of healthcare by practicing medicine under the direction of physicians and surgeons. | -2147434724 |
| Eyeota Reach - B2B - Functional Area - Health Professionals | 90 | Users who work in the Healthcare function in their company. Comprised of quality offline and online data sources to attain greatest reach. | -2147434499 |
| Eyeota Reach - B2B - Industry - Healthcare | 90 | Users who work in the Healthcare industry. Comprised of quality offline and online data sources to attain greatest reach. | -2147434475 |
| Eyeota Reach - B2C - Interest - Finance - Insurance - Health Insurance | 60 | Users who are interested in health insurance. Comprised of quality offline and online data sources to attain greatest reach. | -2147434038 |
| Eyeota Reach - B2C - Lifestyle - Healthy Living | 60 | Users who like eat well and participate in regular physical activity. Comprised of quality offline and online data sources to attain greatest reach. | -2147434289 |
| AU RDA Research - Emma - High Range - Attitudes, Interests and Opinions - Health: I Have No Confidence in The Health Care System | 90 | Emma - 60% Higher Likelihood / Incidence of Agreeing to 'I have no confidence in the health care system' compared to the Australian population | -2147427507 |
| AU RDA Research - Emma - Medium Range - Attitudes, Interests and Opinions - Drinks: Sports Drinks Are Healthy for You | 90 | Emma - 20% Higher Likelihood / Incidence of Agreeing to 'Sports drinks are healthy for you' compared to the Australian population | -2147427460 |
| AU RDA Research - Emma - Medium Range - Attitudes, Interests and Opinions - Health: I Do Not Think Obesity Is A Major Issue in Australia | 90 | Emma - 20% Higher Likelihood / Incidence of Agreeing to 'I do not think obesity is a major issue in Australia' compared to the Australian population | -2147427380 |
| AU RDA Research - Emma - Medium Range - Electrical / White Goods - Digital - Have in Household - A Fitness or Health Monitor (E.G. Watch) | 90 | Emma - 20% Higher Likelihood / Incidence of having a fitness or health monitor (e.g. watch) compared to the Australian population | -2147427334 |
| AU RDA Research - Emma - Medium Range - Insurance - Intend to Switch or Obtain - Health Insurance | 90 | Emma - 20% Higher Likelihood / Incidence of intending to switch or obtain Health insurance compared to the Australian population | -2147426897 |
| AU RDA Research - geoProphet Household Demand - High Spend / Expenditure on Accident and Health Insurance | 90 | 40% Higher Household Spend / Expenditure on Accident And Health Insurance than the Australian population average. | -2147427615 |
| AU RDA Research - geoProphet Household Demand - High Spend / Expenditure on Gym and Health Club Fees | 90 | 40% Higher Household Spend / Expenditure on Gym And Health Club Fees than the Australian population average. | -2147427696 |
| AU RDA Research - geoProphet Household Demand - High Spend / Expenditure on Total Medical Care and Health Expenses | 90 | 40% Higher Household Spend / Expenditure on Total Medical Care And Health Expenses than the Australian population average. | -2147427628 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Spend / Expenditure on Accident and Health Insurance | 90 | 20% Higher Household Level of Spend / Expenditure on Accident And Health Insurance than the Australian population average. | -2147427554 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Spend / Expenditure on Gym and Health Club Fees | 90 | 20% Higher Household Level of Spend / Expenditure on Gym And Health Club Fees than the Australian population average. | -2147427532 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Spend / Expenditure on Total Health and Beauty | 90 | 20% Higher Household Level of Spend / Expenditure on Total Health And Beauty than the Australian population average. | -2147427572 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Spend / Expenditure on Total Medical Care and Health Expenses | 90 | 20% Higher Household Level of Spend / Expenditure on Total Medical Care And Health Expenses than the Australian population average. | -2147427576 |
| Global DataXpand - Interest - B2B - Industry - Healthcare | 60 | Users that look information about the healthcare industry. They are doctors and people who are interested in products of the healthcare industry | -2147427826 |
| Global DataXpand - Interest - CPG - Health and Beauty | 60 | Users who are health and beauty intenders, they visit sites related to beauty care and dedicate time to have a good health and feeling healthy. | -2147427886 |
| Global DataXpand - Interest - CPG - Health and Beauty - Bath Products | 60 | Users who are health and beauty intenders, these users are looking for bath products such as shampoo, soap, salt and many others, | -2147427885 |
| Global DataXpand - Interest - CPG - Health and Beauty - Cosmetics | 60 | Users who are health and beauty intenders, these users look for products related to cosmetics, skin care and many others. They are interested in having a healthy skin. | -2147427884 |
| Global DataXpand - Interest - CPG - Health and Beauty - Hair Care | 60 | Users who are health and beauty intenders, these users visit sites looking for hair care and hair products. They are very interested in having a good and strong hair. | -2147427817 |
| Global DataXpand - Interest - CPG - Health and Beauty - Pharma | 60 | Users who are health and beauty intenders, these users visit products related to pharma and body health. They consume pharmaceutics very often | -2147427882 |
| Global DataXpand - Interest - CPG - Health and Beauty - Skin Care | 60 | Users who are health and beauty intenders, these users are looking for skin care products and their goal is to acquire products to have a healthy skin. | -2147427816 |
| Global Pacific Data Partners - B2B - Industry - Health, Wellness and Fitness | 60 | People likely working in health, wellness & fitness | -2147440803 |
| Global Pacific Data Partners - B2B - Industry - Healthcare | 60 | People likely working in healthcare | -2147440802 |
| Global Pacific Data Partners - B2B - Industry - Healthcare - Hospitals and Clinics | 60 | People likely working in hospitals & clinics | -2147440735 |
| Global Pacific Data Partners - B2B - Industry - Healthcare - Mental Health Care | 60 | People likely working in mental health care | -2147440801 |
| Global ShareThis - Beauty and Fitness - Fitness - Gyms and Health Clubs | 30 | Consumers with recent interest in gyms and health clubs; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428718 |
| Global ShareThis - Finance - Insurance - Health Insurance | 30 | Consumers with recent interest in health insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428583 |
| Global ShareThis - Food and Drink - Cooking and Recipes - Healthy Eating | 30 | Consumers with recent interest in healthy eating; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428523 |
| UK Data Locator (DLG) - Lifestyle - Healthy Living | 90 | Consumers who through survey answers have indicated a healthy lifestyle and interest in fitness | -2147440230 |
| US SMS-INC - Insurance - Brand Intent - UnitedHealthcare | 60 | Intent to Buy - UnitedHealthcare | -2147429337 |
| US SMS-INC - Shopping - Brand Intent - Food and Beverage - Prepared Food - Healthy Choice | 60 | Intent to Buy - Food & Beverage - Prepared Food Healthy Choice | -2147429494 |
| US SMS-INC - Shopping - Brand Intent - Food and Beverage - Snacks - KIND Healthy Snacks | 60 | Intent to Buy - Food & Beverage - Snacks KIND Healthy Snacks | -2147428052 |
| Segment Name | Lifetime (Days) | Segment Description | Segment Key |
|---|---|---|---|
| APAC Skimlinks - About to Buy - Interests - Business and Finance | 15 | People about to buy Business and Finance products | -2147483138 |
| APAC Skimlinks - About to Buy - Interests - Personal Finance | 15 | People about to buy personal finance services | -2147483129 |
| APAC Skimlinks - About to Buy - Personal Finance - Insurance | 15 | People about to buy Insurance | -2147483194 |
| APAC Skimlinks - Affinity - Business and Finance | 15 | People with High Affinity to shop for Business and Finance | -2147483416 |
| APAC Skimlinks - Affinity - Personal Finance | 15 | People with High Affinity to shop for PersonalFinance | -2147483303 |
| APAC Skimlinks - Wants to Buy - Business and Finance | 15 | People who want to buy Business and Finance products | -2147483294 |
| APAC Skimlinks - Wants to Buy - Personal Finance | 15 | People who want to buy personal finance services | -2147483279 |
| APAC Skimlinks - Wants to Buy - Personal Finance - Insurance | 15 | People who want to buy Insurance | -2147482990 |
| AT and DE Semasio - Socio - Career - Accounting and Finance | 90 | AT and DE users: Who are inferred, base on browsing history, to have a career in Accounting and Finance | atdes.socio.c.af |
| AT and DE Semasio - Socio - Income - 2000-4000 euros | 90 | AT and DE users: Who are inferred, based on browsing history, to have an income of 2000-4000 euros | atdes.socio.i.2k-4k |
| AT and DE Semasio - Socio - Income - Above 4000 euros | 90 | AT and DE users: Who are inferred, based on browsing history, to have an income of above 4000 euros | atdes.socio.i.4k+ |
| AT and DE Semasio - Socio - Income - Under 2000 euros | 90 | AT and DE users: Who are inferred, based on browsing history, to have an income of under 2000 euros | atdes.socio.i.less2k |
| AU CareerOne - Category - Finance | 90 | C1 Users: Actively searching for jobs within the Finance sector | -2147464873 |
| AU CareerOne - Industry - Banking and Finance | 90 | C1 Users: Actively searching for jobs within Banking & Finance e.g. Tellers, Financial planners, Personal banker, Credit Manager | -2147464846 |
| AU Equifax - Finance - High Credit Card Demand | 90 | High household credit card demand in coming 3 months | -2147440385 |
| AU Equifax - Finance - High Home Loan Demand | 90 | High household Home Loan demand in coming 3 months | -2147440382 |
| AU Equifax - Finance - High Interest in Investment Property | 90 | High level of Interest in Investment Property | -2147440380 |
| AU Equifax - Finance - High Interest in Self Managed Super Funds | 90 | High level of Interest in Self Managed Super Funds | -2147440379 |
| AU Equifax - Finance - High Interest in Wealth Accumulation | 90 | High level of Interest in Wealth Accumulation | -2147440296 |
| AU Equifax - Finance - High Likelihood of Self Managed Super Fund | 90 | High likelihood of person in household having a Self Managed Super Fund | -2147440295 |
| AU Equifax - Finance - High Personal Loan Demand | 90 | High household Personal Loan demand in coming 3 months | -2147440297 |
| AU Equifax - Finance - High Risk of Credit Default Households | 90 | Households with a High risk of Credit Default in coming 3 months | -2147440294 |
| AU Equifax - Finance - Low Risk of Credit Default Households | 90 | Households with a Low risk of Credit Default in coming 3 months | -2147440376 |
| AU Equifax - Finance - Moderate Credit Card Demand | 90 | Moderate household credit card demand in coming 3 months | -2147440384 |
| AU Equifax - Finance - Moderate Home Loan Demand | 90 | Moderate household Home Loan demand in coming 3 months | -2147440381 |
| AU Equifax - Finance - Moderate Likelihood of Self Managed Super Fund | 90 | Moderate likelihood of person in household having a Self Managed Super Fund | -2147440378 |
| AU Equifax - Finance - Moderate Personal Loan Demand | 90 | Moderate household Personal Loan demand in coming 3 months | -2147440383 |
| AU Equifax - Finance - Moderate Risk of Credit Default Households | 90 | Households with a Moderate risk of Credit Default in coming 3 months | -2147440377 |
| AU Equifax - Income - High Disposable Income | 90 | High Disposable Income Households | -2147440285 |
| AU Equifax - Income - High Income Households | 90 | Households who's income is more than $156,000 per annum | -2147440283 |
| AU Equifax - Income - Moderate Disposable Income | 90 | Moderate Disposable Income Households | -2147440284 |
| AU Equifax - Income - Moderate Income Households | 90 | Households who's income is between $78,000 and $155,999 per annum. | -2147440282 |
| AU Experian - Sociodemographic - Annual Household Income - $1-20k | 90 | AU Users: Household income 1-20k | cust.ainc.1-20k |
| AU Experian - Sociodemographic - Annual Household Income - $120-200k | 90 | AU Users: Household income 120-200k | cust.ainc.120-200k |
| AU Experian - Sociodemographic - Annual Household Income - $20-50k | 90 | AU Users: Household income 20-50k | cust.ainc.20-50k |
| AU Experian - Sociodemographic - Annual Household Income - $200k+ | 90 | AU Users: Household income 200k+ | cust.ainc.200k+ |
| AU Experian - Sociodemographic - Annual Household Income - $50-80k | 90 | AU Users: Household income 50-80k | cust.ainc.50-80k |
| AU Experian - Sociodemographic - Annual Household Income - $80-120k | 90 | AU Users: Household income 80-120k | cust.ainc.80-120k |
| AU On The House - Property Finance | 30 | People who are interested in property finance | -2147437394 |
| AU RDA Research - geoProphet Household Demand - High Balance / Value on Discretionary Income | 90 | 40% Higher Household Balance / Value on Discretionary Income than the Australian population average. | -2147427680 |
| AU RDA Research - geoProphet Household Demand - High Debt Service Ratio (Percentage of Disposable Income Applied in Servicing Debt) | 90 | 40% Higher Household Debt Service Ratio (% of Disposable Income applied in Servicing Debt) than the Australian population average. | -2147427672 |
| AU RDA Research - geoProphet Household Demand - High Household Disposable Income | 90 | 40% Higher Household Household Disposable Income than the Australian population average. | -2147427594 |
| AU RDA Research - geoProphet Household Demand - High Income from Government Pensions / Allowances | 90 | 40% Higher Household Income From Government Pensions / Allowances than the Australian population average. | -2147427591 |
| AU RDA Research - geoProphet Household Demand - High Income from Investments | 90 | 40% Higher Household Income From Investments than the Australian population average. | -2147427691 |
| AU RDA Research - geoProphet Household Demand - High Income from Superannuation / Annuity | 90 | 40% Higher Household Income From Superannuation / Annuity than the Australian population average. | -2147427690 |
| AU RDA Research - geoProphet Household Demand - High Income from Wages | 90 | 40% Higher Household Income From Wages than the Australian population average. | -2147427592 |
| AU RDA Research - geoProphet Household Demand - High Level of Income from Interest from Bank / Financial Institution Account | 90 | 40% Higher Household Level of Income from Interest from Bank / Financial Institution Account than the Australian population average. | -2147427588 |
| AU RDA Research - geoProphet Household Demand - High Level of Income from Own Unincorporated Business | 90 | 40% Higher Household Level of Income From Own Unincorporated Business than the Australian population average. | -2147427587 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Debt Service Ratio (Percentage of Disposable Income applied in Servicing Debt) | 90 | 20% Higher Household Level of Debt Service Ratio (% of Disposable Income applied in Servicing Debt) than the Australian population average. | -2147427580 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Discretionary Income | 90 | 20% Higher Household Level of Discretionary Income than the Australian population average. | -2147427583 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Household Disposable Income | 90 | 20% Higher Household Level of Household Disposable Income than the Australian population average. | -2147427523 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Dividends | 90 | 20% Higher Household Level of Income From Dividends than the Australian population average. | -2147427679 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Government Pensions / Allowances | 90 | 20% Higher Household Level of Income From Government Pensions / Allowances than the Australian population average. | -2147427432 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Interest from Bank / Financial Institution Account | 90 | 20% Higher Household Level of Income from Interest from Bank / Financial Institution Account than the Australian population average. | -2147427678 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Interest: Debentures and Bonds | 90 | 20% Higher Household Level of Income From Interest: Debentures And Bonds than the Australian population average. | -2147427676 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Investments | 90 | 20% Higher Household Level of Income From Investments than the Australian population average. | -2147427431 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Own Unincorporated Business | 90 | 20% Higher Household Level of Income From Own Unincorporated Business than the Australian population average. | -2147427675 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Superannuation / Annuity | 90 | 20% Higher Household Level of Income From Superannuation / Annuity than the Australian population average. | -2147427522 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Trusts | 90 | 20% Higher Household Level of Income From Trusts than the Australian population average. | -2147427584 |
| AU RDA Research - geoProphet Household Demand - Medium Level of Income from Wages | 90 | 20% Higher Household Level of Income From Wages than the Australian population average. | -2147427433 |
| AU RDA Research - geoSmart 58 Level Segments - L49 Poor Mixed Urban: Low Income and Elderly Households, Mainly in Coastal Areas | 90 | L49 Poor Mixed Urban - Low income and elderly households, mainly in coastal areas. | -2147427755 |
| AU RDA Research - geoTribes - Surviviors: Retirees Living on Minimal Incomes | 90 | Retirees living on minimal incomes - subsistence living on government benefits | -2147427642 |
| AU Roy Morgan - Helix Personas - 100 Leading Lifestyles - 102 Smart Money | 90 | AU Users: Well-educated, high-income professionals, tech-savvy, typically married with children living in inner-suburbs | rm.helix.au.100.102 |
| AU Roy Morgan - Vertical Segments - Finance - First Home Buyer | 90 | AU Users: Who are at least 20% more likely than the average Australian to be buying their first house | rm.rmvt.f.fhb |
| AU Roy Morgan - Vertical Segments - Finance - Heavy Credit Card User | 90 | AU Users: Who are at least 20% more likely than the average Australian to be a heavy credit card user | rm.rmvt.f.hccu |
| AU Roy Morgan - Vertical Segments - Finance - HNWI | 90 | AU Users: Who are at least 20% more likely than the average Australian to have between $500,000 and $999,000 in savings and investments | rm.rmvt.f.hnwi |
| AU Roy Morgan - Vertical Segments - Finance - Investment Property Owner / Investor | 90 | AU Users: Who are at least 20% more likely than the average Australian to have a mortgage on an investment property | rm.rmvt.f.ipoi |
| AU Roy Morgan - Vertical Segments - Finance - Share Owner | 90 | AU Users: Who are at least 20% more likely than the average Australian to have shares | rm.rmvt.f.so |
| AU Roy Morgan - Vertical Segments - Finance - SMSF - Self Managed Super Fund | 90 | AU Users: Who are at least 20% more likely than the average Australian to have a Self Managed Super Fund | rm.rmvt.f.smsf |
| Business / B2B - Industry - Banking and Finance | 90 | B2B Users: Working in Banking and Finance Industry | -2147438920 |
| Business / B2B - Interest - Banking and Finance | 90 | B2B Users: Who browsed sites containing B2B services for Banking and Finance | b2b.intr.fin |
| CH Semasio Stailamedia - Interest - Business, Economics and Finance | 30 | CH users: Who are inferred to have an interest in Business, Economics and Finance after visiting the following sites: Business and Finance news, business magazines, online business networks, insurance, credits, funds and financial investment, trading platforms | chs.intr.bef |
| DE Experian - Finance / Insurance - High Insurance Affinity | 90 | DE Users: Who have a High insurance-propensity (more than 5 insurance contracts) | exde.fi.hia |
| DE Experian - Finance / Insurance - Loans | 90 | DE Users: Who have a Propensity to loans | exde.fi.l |
| DE Experian - Finance / Insurance - Private Health Insurance | 90 | DE Users: Who have a Propensity to Private Health Insurance | exde.fi.phi |
| DE Experian - Finance / Insurance - Private Investors | 90 | DE Users: Who have a Propensity to high rendit financial investment | exde.fi.pi |
| DE Experian - Sociodemographic - Consumer Typology - DINKS (Double Income - No Kids) | 90 | DE Users: Consumers who have Double income – no kids | exde.s.ct.dinks |
| DE Experian - Sociodemographic - Net Household Income - 1,300-2,000 Euros per Month | 90 | DE Users: Whose net income is 1.300 - 2.000 EUR per month (15 - 25K EUR per year) | exde.s.nhi.1300-2000 |
| DE Experian - Sociodemographic - Net Household Income - 2,000-3,600 Euros per Month | 90 | DE Users: Whose net income is 2.000 - 3.6000 EUR per month (25 - 40K per year) | exde.s.nhi.2000-3600 |
| DE Experian - Sociodemographic - Net Household Income - 3,600-5,000 Euros per Month | 90 | DE Users: Whose net income is 3.600 - 5.000 EUR per month (40 - 60K EUR per year) | exde.s.nhi.3600-5000 |
| DE Experian - Sociodemographic - Net Household Income - 5,000 Euros per Month | 90 | DE Users: Whose net income is 5.000 EUR per month (60K EUR per year and more) | exde.s.nhi.5000 |
| DE GfK - Purchasing Power - High Level Income Individuals / Affluent | 90 | Germany Users: German individuals with high level spend power, affluent individuals, luxury spenders | degfk.pp.hlih |
| DE GfK - Purchasing Power - Low Level Income Individuals | 90 | Germany Users: German individuals with low level spend power, bargain hunters, low-cost | degfk.pp.llih |
| DE GfK - Purchasing Power - Mid Level Income Individuals / Mid-Market | 90 | Germany Users: German individuals with mid level spend power, mid-market, mainstream | degfk.pp.mlih |
| DE Gutefrage.net - Personal Finance | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in personal finance. | -2147439037 |
| DE Gutefrage.net - Personal Finance - Bank Account | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in bank account. | -2147439036 |
| DE Gutefrage.net - Personal Finance - Finance Law | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in finance law. | -2147439068 |
| DE Gutefrage.net - Personal Finance - Insurance | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in insurance. | -2147439035 |
| DE Gutefrage.net - Personal Finance - Personal Investing | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in personal investing. | -2147439034 |
| DE Gutefrage.net - Personal Finance - Personal Taxes | 30 | Gutefrage data is based on user questions.This data segment contains users with interest in personal taxes. | -2147439033 |
| DE Kantar Media TGI - Monthly Net Household Income - €1,000-€1,250 | 90 | DE Users: Who have an income of between €1,000 and €1,250 per month | dektgi.hhinc.1000 |
| DE Kantar Media TGI - Monthly Net Household Income - €1,250-€1,750 | 90 | DE Users: Who have an income of between €1,250 and €1,750 per month | dektgi.hhinc.1250 |
| DE Kantar Media TGI - Monthly Net Household Income - €1,750-€2,250 | 90 | DE Users: Who have an income of between €1,750 and €2,250 per month | dektgi.hhinc.1750 |
| DE Kantar Media TGI - Monthly Net Household Income - €2,250-€3,000 | 90 | DE Users: Who have an income of between €2,250 and €3,000 per month | dektgi.hhinc.2250 |
| DE Kantar Media TGI - Monthly Net Household Income - €3,000 Or More | 90 | DE Users: Who have an income of over €3,000 per month | dektgi.hhinc.3000 |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Comdirect Bank | 90 | DE Users: Who have a current/savings account at Comdirect Bank | dektgi.pf.bacc.cb |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Commerzbank / Dresdner Bank | 90 | DE Users: Who have a current/savings account at Commerzbank/ Dresdner Bank | dektgi.pf.bacc.cdb |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Deutsche Bank | 90 | DE Users: Who have a current/savings account at Deutsche Bank | dektgi.pf.bacc.db |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - DKB (Deutsche Kreditbank) | 90 | DE Users: Who have a current/savings account at DKB (Deutsche Kreditbank) | dektgi.pf.bacc.dkb |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Ing-Diba | 90 | DE Users: Who have a current/savings account at Ing-Diba | dektgi.pf.bacc.id |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Postbank | 90 | DE Users: Who have a current/savings account at Postbank | dektgi.pf.bacc.pb |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Sparkasse (Auch Kreissparkasse, Bezirkss) | 90 | DE Users: Who have a current/savings account at Sparkasse (auch Kreissparkasse, Bezirkssparkasse, Stadtsparkasse) |
dektgi.pf.bacc.spk |
| DE Kantar Media TGI - Personal Finance - Bank Account Held - Volksbank / Raiffeisenbank / Spar- Und Darle | 90 | DE Users: Who have a current/savings account at Volksbank, Raiffeisenbank, Sparda-Bank |
dektgi.pf.bacc.vb |
| DE Kantar Media TGI - Personal Finance - Has Building and Contents Insurance | 90 | DE Users: Who have Buildings and Contents Insurance | dektgi.pf.binsur |
| DE Kantar Media TGI - Personal Finance - Has Pet Insurance | 90 | DE Users: Who have Pet Insurance | dektgi.pf.petinsur |
| DE Kantar Media TGI - Personal Finance - Has Private Medical Insurance | 90 | DE Users: Who have Private Health Insurance | dektgi.pf.prinsur |
| DE Kantar Media TGI - Personal Finance - Insurance Company - Allianz | 90 | DE Users: Who have car insurance from Allianz | dektgi.pf.incom.allz |
| DE Kantar Media TGI - Personal Finance - Insurance Company - AXA | 90 | DE Users: Who have car insurance from AXA | dektgi.pf.incom.axa |
| DE Kantar Media TGI - Personal Finance - Insurance Company - DEVK | 90 | DE Users: Who have car insurance from DEVK | dektgi.pf.incom.devk |
| DE Kantar Media TGI - Personal Finance - Insurance Company - HDI Gerling | 90 | DE Users: Who have car insurance from HDI Gerling | dektgi.pf.incom.hdi |
| DE Kantar Media TGI - Personal Finance - Insurance Company - HUK-Coburg | 90 | DE Users: Who have car insurance from HUK-Coburg | dektgi.pf.incom.huk |
| DE Kantar Media TGI - Personal Finance - Insurance Company - R+V Versicherung | 90 | DE Users: Who have car insurance from R+V Versicherung | dektgi.pf.incom.rv |
| DE Schober - Demo - Household Income - 1.300-2.600 EUR | 90 | Household income 1.300 EUR - 2.600 EUR | deschober.demo.hhinc.1300to2600 |
| DE Schober - Demo - Household Income - 2.600-3.600 EUR | 90 | Household income 2.600 EUR - 3.600 EUR | deschober.demo.hhinc.2600to3600 |
| DE Schober - Demo - Household Income - 3.600-5.000 EUR | 90 | Household income 3.600 EUR - 5.000 EUR | deschober.demo.hhinc.3600to5000 |
| DE Schober - Demo - Household Income - Over 5.000 EUR | 90 | Household income more than 5.000 EUR | deschober.demo.hhinc.ov5000 |
| DE Schober - Finance - Current Account Switching | 90 | High affinity to churn current account | -2147440054 |
| DE Schober - Finance - Direct Banking Customer | 90 | Likely to be a direct bank customer | -2147440056 |
| DE Schober - Finance - Household Net Worth - 200k-400k EUR | 90 | Household net worth 200.000 EUR - 400.000 EUR | deschober.demo.hhnw.200kto400k |
| DE Schober - Finance - Household Net Worth - 80k-200k EUR | 90 | Household net worth 80.000 EUR - 200.000 EUR | deschober.demo.hhnw.80kto200k |
| DE Schober - Finance - Household Net Worth - Over 400k EUR | 90 | Household net worth more than 400.000 EUR | deschober.demo.hhnw.ov400k |
| DE Schober - Finance - Insurance - Own Private Health Insurance | 90 | Likely to own Private Health Insurance | deschober.insu.ownhealth |
| DE Schober - Finance - Insurance - Own Travel Insurance | 90 | Likely to own Travel Insurance | deschober.insu.owntravel |
| DE Schober - Finance - Insurance Superconsumer | 90 | Likely to own many insurance policies | -2147440055 |
| DE Schober - Finance - Investor | 90 | Likely to be an investor | -2147440159 |
| DE Schober - Lifestyle - Lifestyle Segmentation - Money-Oriented | 90 | Likely to be a money-oriented person | -2147440029 |
| DE Semasio - Interest - B2B - Accounting and Finance | 30 | Predictive semantic targeting based on industry magazines, sites for software, trade fairs and on-the-job-training offers for the business area of accounting & finance | -2147442589 |
| DE YouGov - Brand Likely to Consider - Finance - Likely to Consider - Ing-Diba | 90 | Users that are likely to consider buying Ing-Diba products | -2147467880 |
| DE YouGov - Brand Likely to Consider - Finance - Likely to Consider - Paypal | 90 | Users that are likely to consider using Paypal products | -2147467878 |
| DE YouGov - Brand Likely to Consider - Finance - Likely to Consider - Sparkasse | 90 | Users that are likely to consider using Sparkasse products | -2147468188 |
| DE YouGov - Brand Likely to Consider - Finance - Likely to Consider - Visa | 90 | Users that are likely to consider using Visa products | -2147468187 |
| DE YouGov - Brand Likely to Consider - Finance - Likely to Consider - Volks- Und Raiffeisenbank | 90 | Users that are likely to consider using Volks- Und Raiffeisenbank products | -2147467876 |
| Demographic - Declared Annual Income Level - $100,000-$124,999 | 90 | Users: Segmented based on income levels declared or registered on a site, yearly income $100,000 - 124,999 | dem.income.100-124 |
| Demographic - Declared Annual Income Level - $125,000 Plus | 90 | Users: Segmented based on income levels declared or registered on a site, yearly income >$125,000 | dem.income.125+ |
| Demographic - Declared Annual Income Level - $25,000-$49,999 | 90 | Users: Segmented based on income levels declared or registered on a site, yearly income $25,000 - 49,999 | dem.income.25-49 |
| Demographic - Declared Annual Income Level - $50,000-$74,999 | 90 | Users: Segmented based on income levels declared or registered on a site, yearly income $50,000 - 74,999 | dem.income.50-74 |
| Demographic - Declared Annual Income Level - $75,000-$99,999 | 90 | Users: Segmented based on income levels declared or registered on a site, yearly income $75,000 - 99,999 | dem.income.75-99 |
| Demographic - Employment - Banking and Finance | 90 | Users: Segmented based on career industry declared or registered on a site in the field of Banking and Finance | dem.emp.b-fin |
| Demographic - Inferred Income Level - High / Affluent | 90 | Users: Assumed to have high Income based on their online activity | dem.infinc.high |
| Demographic - Inferred Income Level - Low | 90 | Users: Assumed to have low Income based on their online activity | dem.infinc.low |
| Eastern Europe - Business / B2B - Interest - Banking and Finance | 90 | Eastern European B2B users: Who browsed sites containing B2B services for Banking and Finance | - |
| Eastern Europe - Demographic - Inferred Income Level - High / Affluent | 90 | Eastern European Users: Assumed to have high Income based on their online activity | - |
| Eastern Europe - Demographic - Inferred Income Level - Low | 90 | Eastern European Users: Assumed to have low Income based on their online activity | - |
| EMEA onAudience - Intent - Finance | 14 | Users who are interested in Finance Services | -2147461686 |
| EMEA onAudience - Intent - Finance - Insurance | 14 | Users who are interested in Insurance | -2147461410 |
| EMEA onAudience - Intent - Finance - Investments | 14 | Users who are interested in Investments | -2147461331 |
| EMEA onAudience - Intent - Finance - Loans | 14 | Users who are interested in Loans | -2147461411 |
| EMEA onAudience - Intent - Finance - Savings | 14 | Users who are interested in Savings | -2147461330 |
| EMEA onAudience - Interest - Personal Finance | 30 | Users who regularly visit personal finance content websites | -2147461697 |
| EMEA onAudience - Interest - Personal Finance - Beginning Investing | 30 | Users who regularly visit websites about beginning investment | -2147461506 |
| EMEA onAudience - Interest - Personal Finance - Credit / Debt and Loans | 30 | Users who regularly visit websites about credit, debt or loans | -2147461585 |
| EMEA onAudience - Interest - Personal Finance - Financial News | 30 | Users who regularly visit financial news content websites | -2147461505 |
| EMEA onAudience - Interest - Personal Finance - Financial Planning | 30 | Users who regularly visit financial planning content websites | -2147461584 |
| EMEA onAudience - Interest - Personal Finance - Hedge Fund | 30 | Users who regularly visit hedge funds content websites | -2147461504 |
| EMEA onAudience - Interest - Personal Finance - Insurance | 30 | Users who regularly visit insurance content websites | -2147461583 |
| EMEA onAudience - Interest - Personal Finance - Investing | 30 | Users who regularly visit investing content websites | -2147461582 |
| EMEA onAudience - Interest - Personal Finance - Mutual Funds | 30 | Users who regularly visit mutual funds content websites | -2147461581 |
| EMEA onAudience - Interest - Personal Finance - Options | 30 | Users who regularly visit financial options content websites | -2147461503 |
| EMEA onAudience - Interest - Personal Finance - Retirement Planning | 30 | Users who regularly visit retirement planning content websites | -2147461502 |
| EMEA onAudience - Interest - Personal Finance - Stock Exchange | 30 | Users who regularly visit stock exchange content websites | -2147461580 |
| EMEA onAudience - Interest - Personal Finance - Tax Planning | 30 | Users who regularly visit tax planning content websites | -2147461579 |
| ES GfK - Purchasing Power - High Level Income Individuals / Affluent | 90 | Spain Users: Spanish individuals with high level spend power, affluent individuals, luxury spenders | esgfk.pp.hlih |
| ES GfK - Purchasing Power - Low Level Income Individuals | 90 | Spain Users: Spanish individuals with low level spend power, bargain hunters, low-cost | esgfk.pp.llih |
| ES GfK - Purchasing Power - Mid Level Income Individuals / Mid-Market | 90 | Spain Users: Spanish individuals with mid level spend power, mid-market, mainstream | esgfk.pp.mlih |
| Eyeota Reach - B2B - Decision Makers - Finance Decision Maker | 90 | Users who are in a decision making function for Finance. Comprised of quality offline and online data sources to attain greatest reach. | -2147434528 |
| Eyeota Reach - B2B - Functional Area - Finance | 90 | Users who work in the Government function in their company. Comprised of quality offline and online data sources to attain greatest reach. | -2147434502 |
| Eyeota Reach - B2B - Industry - Finance | 90 | Users who work in the Finance industry. Comprised of quality offline and online data sources to attain greatest reach. | -2147434476 |
| Eyeota Reach - B2C - Demographic - Household Income - $100,000-$149,999 | 60 | Users with a household income between $100,000-$149,999. Comprised of quality offline and online data sources to attain greatest reach. | -2147434254 |
| Eyeota Reach - B2C - Demographic - Household Income - $150,000-$199,999 | 60 | Users with a household income between $150,000-$199,999. Comprised of quality offline and online data sources to attain greatest reach. | -2147434139 |
| Eyeota Reach - B2C - Demographic - Household Income - $200,000 Plus | 60 | Users with a household income above $200,000. Comprised of quality offline and online data sources to attain greatest reach. | -2147434253 |
| Eyeota Reach - B2C - Demographic - Household Income - $50,000-$99,999 | 60 | Users with a household income between $50,000-$99,999. Comprised of quality offline and online data sources to attain greatest reach. | -2147434252 |
| Eyeota Reach - B2C - Interest - Finance - Banking | 60 | Users who are interested in their banking such as checking and savings accounts, and credit cards. Comprised of quality offline and online data sources to attain greatest reach. | -2147434039 |
| Eyeota Reach - B2C - Interest - Finance - Insurance - Auto Insurance | 60 | Users who are interested in auto insurance. Comprised of quality offline and online data sources to attain greatest reach. | -2147434130 |
| Eyeota Reach - B2C - Interest - Finance - Insurance - Health Insurance | 60 | Users who are interested in health insurance. Comprised of quality offline and online data sources to attain greatest reach. | -2147434038 |
| Eyeota Reach - B2C - Interest - Finance - Insurance - Home Insurance | 60 | Users who are interested in home insurance. Comprised of quality offline and online data sources to attain greatest reach. | -2147434037 |
| Eyeota Reach - B2C - Interest - Finance - Insurance - Life Insurance | 60 | Users who are interested in life insurance. Comprised of quality offline and online data sources to attain greatest reach. | -2147434036 |
| Eyeota Reach - B2C - Interest - Finance - Loan / Credit | 60 | Users who are interested in acquiring a loan. Comprised of quality offline and online data sources to attain greatest reach. | -2147434129 |
| Eyeota Reach - B2C - Interest - Finance - Personal Finance | 60 | Users who are interested in their personal finances. Comprised of quality offline and online data sources to attain greatest reach. | -2147434128 |
| FR GfK - Purchasing Power - High Level Income Individuals / Affluent | 90 | France Users: French individuals with high level spend power, affluent individuals, luxury spenders | frgfk.pp.hlih |
| FR GfK - Purchasing Power - Mid Level Income Individuals / Mid-Market | 90 | France Users: French individuals with mid level spend power, mid-market, mainstream | frgfk.pp.mlih |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 1,201-1,500 | 90 | FR Users: Who Net Monthly Income 1201 to 1500 Euros (8001 to 10 000F) | -2147467129 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 1,501-1,900 | 90 | FR Users: Who Net Monthly Income 1501 to 1900 Euros (10 001 to 12 500F) | -2147467207 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 1,901-2,300 | 90 | FR Users: Who Net Monthly Income 1901 to 2300 Euros (12501 to 15 000F) | -2147467206 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 2,301-2,700 | 90 | FR Users: Who Net Monthly Income 2301 to 2700 Euros (15 001 to 17 500F) | -2147467128 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 2,701-3,000 | 90 | FR Users: Who Net Monthly Income 2701 to 3000 Euros (17501 to 20 000F) | -2147467205 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 3,001-3,800 | 90 | FR Users: Who Net Monthly Income 3001 to 3800 Euros (20 001 to 25 000F) | -2147467127 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 3,801-5,300 | 90 | FR Users: Who Net Monthly Income 3801 to 5300 Euros (25 001 to 35 000F) | -2147467126 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 5,301-6,900 | 90 | FR Users: Who Net Monthly Income 5301 to 6900 Euros (35 001 to 45 000F) | -2147467204 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 6,901 Or More | 90 | FR Users: Who Net Monthly Income 6901 Euros or more (45 001 or more) | -2147467203 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 601-900 | 90 | FR Users: Who Net Monthly Income 601 to 900 Euros (4001 to 6000F) | -2147467374 |
| FR Kantar Media TGI - Sociodemographic - Net Monthly Household Income - Euro 901-1,200 | 90 | FR Users: Who Net Monthly Income 901 to 1200 Euros (6001 to 8000F) | -2147467125 |
| FR OmniDIGITAL by MeritDirect - Job Function - Finance | 90 | This segment targets Job Function Finance | frmerit.jobfunc.finance |
| Global Bombora - B2B - B2B Predictive Signals - Finance | 90 | B2B Users: Bundled intent data pertaining to finance industry-related content consumption | ml.b2bpsig.fi |
| Global Bombora - B2B - B2B Predictive Signals - Finance - Accounting | 90 | B2B Users: Aggregates intent topics such as audits, tax planning and reconciliations | ml.b2bpsig.fi.acc |
| Global Bombora - B2B - B2B Predictive Signals - Finance - Corporate Finance | 90 | B2B Users: Aggregates intent topics such as commercial loans, investor relations and cash flow management | ml.b2bpsig.fi.cf |
| Global Bombora - B2B - B2B Predictive Signals - Finance - Finance IT | 90 | B2B Users: Aggregates intent topics such as banking software, financial IT and financial systems | ml.b2bpsig.fi.it |
| Global Bombora - B2B - B2B Predictive Signals - Finance - Personal Finance | 90 | B2B Users: Aggregates intent topics such as mortgages, mutual fund investing and credit cards | ml.b2bpsig.fi.pf |
| Global Bombora - B2B - B2B Predictive Signals - Finance - Trading and Investing | 90 | B2B Users: Aggregates intent topics such as hedge funds, commodities and fixed asset management | ml.b2bpsig.fi.ti |
| Global Bombora - B2B - Functional Area - Finance | 90 | B2B Users: People involved with saving and investing money on an individual, institutional or public basis | ml.b2bdem.fa.fin |
| Global Bombora - B2B - Functional Area - Finance - Accounting | 90 | B2B Users: People involved with quantifying, categorizing, describing and disclosing financial data used by organizational decision makers to allocate resources | ml.b2bdem.fa.fin.ac |
| Global Bombora - B2B - Functional Area - Finance - Banking | 90 | B2B Users: People involved with receiving and holding money in accounts, issuing certificates of deposit, paying checks drawn by or paid in by customers and extending credit in the form of loans or bank cards | ml.b2bdem.fa.fin.bnk |
| Global Bombora - B2B - Functional Area - Finance - Investment Banking | 90 | B2B Users: People involved in underwriting/issuing securities to raise capital for private/public institutions, also assist corporate clients with derivatives valuation, leveraged buyouts and the like | ml.b2bdem.fa.fin.pbank |
| Global Bombora - B2B - Functional Area - Finance - Wealth Management | 90 | B2B Users: People in an investment advisory capacity, help clients maintain/increase their financial position through effectively planning/managing holdings | ml.b2bdem.fa.fin.wm |
| Global Bombora - B2B - Professional Groups - Finance Professional | 90 | B2B Users: People who belong to the Finance industry segment, the Finance functional area or the Finance intent category | ml.b2bdem.pgr.finp |
| Global Bombora - B2B - Professional Groups - High Income Professional | 60 | This group contains people who work for any company size and of any company revenue values and have a net worth of $500,000 or more. | -2147434732 |
| Global Bombora - B2C - Household Income / HHI - $100,000-$149,999 | 60 | People whose household income is between $100,000 - $149,999 | -2147464126 |
| Global Bombora - B2C - Household Income / HHI - $150,000-$249,999 | 60 | People whose household income is between $150,000 - $249,999 | -2147464125 |
| Global Bombora - B2C - Household Income / HHI - $25,000-$49,999 | 60 | People whose household income is between $25,000 - $49,999 | -2147464124 |
| Global Bombora - B2C - Household Income / HHI - $250,000 Plus | 60 | People whose household income is greater than $250,000 | -2147464223 |
| Global Bombora - B2C - Household Income / HHI - $50,000-$74,999 | 60 | People whose household income is between $50,000 - $74,999 | -2147464123 |
| Global Bombora - B2C - Household Income / HHI - $75,000-$99,999 | 60 | People whose household income is between $75,000 - $99,999 | -2147464222 |
| Global Bombora - B2C - Income Changes and Status - 10-20% Income Decrease | 60 | People that are experiencing a 10%-20% decrease in income | -2147464221 |
| Global Bombora - B2C - Income Changes and Status - 10-20% Income Increase | 60 | People that are experiencing a 10%-20% increase in income | -2147464121 |
| Global Bombora - B2C - Income Changes and Status - 20% or more Income Decrease | 60 | People that are experiencing a decrease in income greater than 20% | -2147464220 |
| Global Bombora - B2C - Income Changes and Status - 20% or more Income Increase | 60 | People that are experiencing an increase in income greater than 20% | -2147464120 |
| Global Bombora - B2C - Income Changes and Status - Self-Employed / Entrepreneur | 60 | People who are likely self-employed or entrepreneurs | -2147464219 |
| Global Bombora - B2C - Income Changes and Status - Top 10% Capital Investor | 60 | People that are in the top 10% of capital investors in the United States | -2147464119 |
| Global Bombora - B2C - Income Changes and Status - Top 10% Charitable Donor | 60 | People in the top 10% of charitable donors | -2147464218 |
| Global DataXpand - Intent - Travel - High Income Tourism | 30 | High income tourism intenders: they search for exclusive hotels, first class flights or exotic destinations. Luxury is a must for them. | dataxp.int.trvl.hict |
| Global DataXpand - Interest - B2B - Finance | 60 | Users that shows strong interest in finance updates, wall street, stocks and finance news. These people visit sites related to the finance industry. | -2147427831 |
| Global DataXpand - Interest - B2B - Industry - Finance | 60 | Users that shows strong interest in finance updates, wall street, stocks and finance news. These people visit sites related to the finance industry. | -2147427827 |
| Global DataXpand - Interest - Business and Finance | 30 | Users who demonstrate an interest in Business and Finance: They search for related content to stock market, trading, business, financial news, currencies & the economy. | dataxp.intr.bizfin |
| Global DataXpand - Interest - Business and Finance - Agribusiness | 30 | Users who demonstrate an interest in Agribusiness: They search for related content to stock market, trading, business, financial news, currencies & the economy. | dataxp.intr.bizfin.agri |
| Global DataXpand - Interest - Business and Finance - Finance | 30 | Users who demonstrate an interest in financial news, stock market, trading, currency, investments. | dataxp.intr.bizfin.fin |
| Global DataXpand - Interest - Business and Finance - Finance - Investments | 30 | Users who showed interest in investments: they seek information on bonds, shares in companies, stock quotes, financial news and reports, stock exchange; participate in online investment sites, and many others. | dataxp.intr.bizfin.fin.inv |
| Global DataXpand - US Hispanics - Interest - Business and Finance | 30 | Users who demonstrate interest in Business and Finance: They search for related content to stock market, trading, business, financial news, currencies & the economy. | dataxp.hisp.intr.biz |
| Global DataXpand - US Hispanics - Interest - Business and Finance - Finance | 30 | Users who demonstrate interest in Financial news, stock market, trading, currency, investments. | dataxp.hisp.intr.biz.fin |
| Global DataXpand - US Hispanics - Interest - Business and Finance - Finance - Investments | 30 | Users who showed interest in investments: they seek information on bonds, shares in companies, stock quotes, financial news and reports, stock exchange; participate in online investment sites, and many others. | dataxp.hisp.intr.biz.fin.inv |
| Global Pacific Data Partners - B2B - Industry - Finance | 60 | People likely working in finance | -2147440743 |
| Global Pacific Data Partners - B2B - Industry - Finance - Banking | 60 | People likely working in banking | -2147440742 |
| Global Pacific Data Partners - B2B - Industry - Finance - Capital Markets | 60 | People likely working in capital markets | -2147440741 |
| Global Pacific Data Partners - B2B - Industry - Finance - Credit Unions | 60 | People likely working in credit unions | -2147440740 |
| Global Pacific Data Partners - B2B - Industry - Finance - Investment Management | 60 | People likely working in investment management | -2147440810 |
| Global Pacific Data Partners - B2B - Industry - Finance - Services | 60 | People likely working in services | -2147440809 |
| Global Pacific Data Partners - B2B - Industry - Finance - Venture Capital and Private Equity | 60 | People likely working in venture capital & private equity | -2147440750 |
| Global ShareThis - Business and Industrial - Business Finance | 30 | Consumers with recent interest in business finance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428968 |
| Global ShareThis - Business and Industrial - Business Finance - Commercial Lending | 30 | Consumers with recent interest in commercial lending; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428967 |
| Global ShareThis - Business and Industrial - Business Finance - Investment Banking | 30 | Consumers with recent interest in investment banking; observed from social sharing, searched page visits and click-backs on shared pages. | -2147429075 |
| Global ShareThis - Business and Industrial - Business Finance - Risk Management | 30 | Consumers with recent interest in risk management; observed from social sharing, searched page visits and click-backs on shared pages. | -2147429074 |
| Global ShareThis - Business and Industrial - Business Finance - Venture Capital | 30 | Consumers with recent interest in venture capital; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428966 |
| Global ShareThis - Finance | 30 | Consumers with recent interest in finance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428593 |
| Global ShareThis - Finance - Accounting and Auditing | 30 | Consumers with recent interest in accounting and auditing; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428669 |
| Global ShareThis - Finance - Accounting and Auditing - Billing and Invoicing | 30 | Consumers with recent interest in billing and invoicing; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428668 |
| Global ShareThis - Finance - Accounting and Auditing - Bookkeeping | 30 | Consumers with recent interest in bookkeeping; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428592 |
| Global ShareThis - Finance - Accounting and Auditing - Tax Preparation and Planning | 30 | Consumers with recent interest in tax preparation and planning; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428591 |
| Global ShareThis - Finance - Banking | 30 | Consumers with recent interest in banking; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428590 |
| Global ShareThis - Finance - Banking - ATMs and Branch Locations | 30 | Consumers with recent interest in atms and branch locations; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428667 |
| Global ShareThis - Finance - Banking - Debit and Checking Services | 30 | Consumers with recent interest in debit and checking services; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428589 |
| Global ShareThis - Finance - Banking - Money Transfer and Wire Services | 30 | Consumers with recent interest in money transfer and wire services; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428666 |
| Global ShareThis - Finance - Banking - Savings Accounts | 30 | Consumers with recent interest in savings accounts; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428665 |
| Global ShareThis - Finance - Credit and Lending | 30 | Consumers with recent interest in credit and lending; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428664 |
| Global ShareThis - Finance - Credit and Lending - Credit Cards | 30 | Consumers with recent interest in credit cards; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428588 |
| Global ShareThis - Finance - Credit and Lending - Debt Management | 30 | Consumers with recent interest in debt management; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428663 |
| Global ShareThis - Finance - Credit and Lending - Loans | 30 | Consumers with recent interest in loans; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428662 |
| Global ShareThis - Finance - Financial Planning and Management | 30 | Consumers with recent interest in financial planning and management; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428661 |
| Global ShareThis - Finance - Financial Planning and Management - Asset and Portfolio Management | 30 | Consumers with recent interest in asset and portfolio management; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428660 |
| Global ShareThis - Finance - Financial Planning and Management - Inheritance and Estate Planning | 30 | Consumers with recent interest in inheritance and estate planning; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428659 |
| Global ShareThis - Finance - Financial Planning and Management - Retirement and Pension | 30 | Consumers with recent interest in retirement and pension; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428587 |
| Global ShareThis - Finance - Grants, Scholarships and Financial Aid | 30 | Consumers with recent interest in grants, scholarships and financial aid; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428586 |
| Global ShareThis - Finance - Grants, Scholarships and Financial Aid - Government Grants | 30 | Consumers with recent interest in government grants; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428585 |
| Global ShareThis - Finance - Grants, Scholarships and Financial Aid - Study Grants and Scholarships | 30 | Consumers with recent interest in study grants and scholarships; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428658 |
| Global ShareThis - Finance - Insurance | 30 | Consumers with recent interest in insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428584 |
| Global ShareThis - Finance - Insurance - Health Insurance | 30 | Consumers with recent interest in health insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428583 |
| Global ShareThis - Finance - Insurance - Home Insurance | 30 | Consumers with recent interest in home insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428582 |
| Global ShareThis - Finance - Insurance - Life Insurance | 30 | Consumers with recent interest in life insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428581 |
| Global ShareThis - Finance - Insurance - Travel Insurance | 30 | Consumers with recent interest in travel insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428580 |
| Global ShareThis - Finance - Insurance - Vehicle Insurance | 30 | Consumers with recent interest in vehicle insurance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428579 |
| Global ShareThis - Finance - Investing | 30 | Consumers with recent interest in investing; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428657 |
| Global ShareThis - Finance - Investing - Brokerages and Day Trading | 30 | Consumers with recent interest in brokerages and day trading; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428578 |
| Global ShareThis - Finance - Investing - Commodities and Futures Trading | 30 | Consumers with recent interest in commodities and futures trading; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428577 |
| Global ShareThis - Finance - Investing - Currencies and Foreign Exchange | 30 | Consumers with recent interest in currencies and foreign exchange; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428656 |
| Global ShareThis - Finance - Investing - Derivatives | 30 | Consumers with recent interest in derivatives; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428551 |
| Global ShareThis - Finance - Investing - Funds | 30 | Consumers with recent interest in funds; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428576 |
| Global ShareThis - Finance - Investing - Real Estate Investment Trusts | 30 | Consumers with recent interest in real estate investment trusts; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428655 |
| Global ShareThis - Finance - Investing - Stocks and Bonds | 30 | Consumers with recent interest in stocks and bonds; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428654 |
| Global ShareThis - Law and Government - Government - Public Finance | 30 | Consumers with recent interest in public finance; observed from social sharing, searched page visits and click-backs on shared pages. | -2147428508 |
| Grapeshot Audience Retargeting - Finance - Banking Interest | 30 | Users interested in content related to personal banking | gg.fin.bank |
| Grapeshot Audience Retargeting - Finance - Credit Interest | 30 | Users interested in content related to credit finance | gg.fin.cred |
| Grapeshot Audience Retargeting - Finance - Insurance Interest | 30 | Users interested in content relating to insurance cover, policies, terms and companies | gg.fin.ins |
| Grapeshot Audience Retargeting - Finance - Loans Interest | 30 | Users interested in content relating to loans - terms, lenders and types | gg.fin.lo |
| Grapeshot Audience Retargeting - Finance - Pensions Interest | 30 | Users interested in content relating to pensions - schemes and terms | gg.fin.pen |
| Grapeshot Audience Retargeting - Reach - Finance Interest | 30 | Users interested in finance in general | gg.rea.fin |
| HK Experian - Sociodemographic - Monthly Household Income - $10,000-$20,000 | 90 | HK Users: Who have a monthly household income of $10,000 - $20,000 | hk.cust.sociod.mhi.10k-20k |
| HK Experian - Sociodemographic - Monthly Household Income - $20,000-$40,000 | 90 | HK Users: Who have a monthly household income of $20,000 - $40,000 | hk.cust.sociod.mhi.20k-40k |
| HK Experian - Sociodemographic - Monthly Household Income - $40,000 and over | 90 | HK Users: Who have a monthly household income of $40,000 and over | hk.cust.sociod.mhi.40kplus |
| HK Experian - Sociodemographic - Monthly Household Income - Below $10,000 | 90 | HK Users: Who have a monthly household income of below $10,000 | hk.cust.sociod.mhi.10k |
| ID AimMatic - Interest - AA TTS Money, Business, and Career | 90 | ID Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466783 |
| ID AimMatic - Interest - AAA TTS Money, Business, and Career | 90 | ID Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466707 |
| ID Roy Morgan - Helix Personas - 100 Leading Lifestyles - 102 Smart Money | 90 | Well educated, high income professionals, tech-savvy, typically married with children. | -2147444082 |
| Intent - Financial Intent - Personal Finance | 60 | Users: Who actively search, browse or register for personal finance Companies and products | int.finan.pfin |
| IT GfK - Purchasing Power - High Level Income Individuals / Affluent | 90 | Italy Users: Italian individuals with high level spend power, affluent individuals, luxury spenders | itgfk.pp.hlih |
| IT GfK - Purchasing Power - Mid Level Income Individuals / Mid-Market | 90 | Italy Users: Italian individuals with mid level spend power, mid-market, mainstream | itgfk.pp.mlih |
| JP Experian - Mosaic - Group - K Dual Incomes in Provincial Cities | 90 | JP Users: Blue-collar, dual income families living in detached houses around urban areas of provincial cities | jp.m.g.K |
| JP Experian - Mosaic - Group - N Low Incomes in Large Cities | 90 | JP Users: Low income, blue-collar elderly singles or couples, living in public housing or tenements in large cities | jp.m.g.N |
| KR AimMatic - Interest - AA TTS Money, Business, and Career | 15 | KR Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466766 |
| KR AimMatic - Interest - AAA TTS Money, Business, and Career | 15 | KR Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466688 |
| MY AimMatic - Interest - AA TTS Money, Business, and Career | 90 | MY Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466626 |
| MY AimMatic - Interest - AAA TTS Money, Business, and Career | 90 | MY Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466627 |
| NL Experian - Consumer View - Gross Family Income - 1.5 Times Modal | 90 | Gross family income - 1,5 times modal | nlwhooz.conview.gfi.onehalf |
| NL Experian - Consumer View - Gross Family Income - 2 Times Modal | 90 | Gross family income - 2 times modal | nlwhooz.conview.gfi.two |
| NL Experian - Consumer View - Gross Family Income - Below Modal | 90 | Gross family income - Below modal | nlwhooz.conview.gfi.below |
| NL Experian - Consumer View - Gross Family Income - Modal | 90 | Gross family income - Modal | nlwhooz.conview.gfi.m |
| NL Experian - Consumer View - Gross Family Income - More Than 2 Times Modal | 90 | Gross family income - More than 2 times modal | nlwhooz.conview.gfi.mtwo |
| NL GfK - Purchasing Power - High Level Income Individuals / Affluent | 90 | Netherlands Users: Dutch individuals with high level spend power, affluent individuals, luxury spenders | nlgfk.pp.hlih |
| NL GfK - Purchasing Power - Mid Level Income Individuals / Mid-Market | 90 | Netherlands Users: Dutch individuals with mid level spend power, mid-market, mainstream | nlgfk.pp.mlih |
| NZ CoreLogic RP Data - Real Estate Indicator - Household Income between $20K to $30K | 60 | Postcodes where more than 10% of Household income between $20K and $30K | -2147434815 |
| NZ CoreLogic RP Data - Real Estate Indicator - Household Income between $30K to $50K | 60 | Postcodes where more than 15% of Household income between $30K and $50K | -2147434814 |
| NZ CoreLogic RP Data - Real Estate Indicator - Household Income between $50K to $70K | 60 | Postcodes where more than 5% of Household income between $50K and $70K | -2147434813 |
| NZ CoreLogic RP Data - Real Estate Indicator - Household Income between $70K to $100K | 60 | Postcodes where more than 15% of Household income between $70K and $100K | -2147434812 |
| NZ CoreLogic RP Data - Real Estate Indicator - Household Income Between Above $100K | 60 | Postcodes where more than 20% of Household income over $100K | -2147434816 |
| NZ CoreLogic RP Data - Real Estate Indicator - Household Income Under $20K | 60 | Postcodes where more than 20% of Household income under $20K | -2147434867 |
| NZ Experian - Finances - Deprivation Index - Deprivation 1 - least deprived | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 1 - least deprived | -2147462078 |
| NZ Experian - Finances - Deprivation Index - Deprivation 10 - most deprived | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 10 - most deprived | -2147462077 |
| NZ Experian - Finances - Deprivation Index - Deprivation 2 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 2 | -2147462076 |
| NZ Experian - Finances - Deprivation Index - Deprivation 3 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 3 | -2147462075 |
| NZ Experian - Finances - Deprivation Index - Deprivation 4 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 4 | -2147462186 |
| NZ Experian - Finances - Deprivation Index - Deprivation 5 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 5 | -2147462185 |
| NZ Experian - Finances - Deprivation Index - Deprivation 6 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 6 | -2147462074 |
| NZ Experian - Finances - Deprivation Index - Deprivation 7 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 7 | -2147462073 |
| NZ Experian - Finances - Deprivation Index - Deprivation 8 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 8 | -2147462072 |
| NZ Experian - Finances - Deprivation Index - Deprivation 9 | 90 | NZ Experian - Finances - Deprivation Index - Deprivation 9 | -2147462184 |
| NZ Experian - Finances - Household Annual Income - $100,001 or more | 90 | NZ Experian - Finances - Household Annual Income - $100,001 or more | -2147462070 |
| NZ Experian - Finances - Household Annual Income - $20,000 or less | 90 | NZ Experian - Finances - Household Annual Income - $20,000 or less | -2147462183 |
| NZ Experian - Finances - Household Annual Income - $20,001-$30,000 | 90 | NZ Experian - Finances - Household Annual Income - $20,001-$30,000 | -2147462182 |
| NZ Experian - Finances - Household Annual Income - $30,001-$50,000 | 90 | NZ Experian - Finances - Household Annual Income - $30,001-$50,000 | -2147462181 |
| NZ Experian - Finances - Household Annual Income - $50,001-$70,000 | 90 | NZ Experian - Finances - Household Annual Income - $50,001-$70,000 | -2147462069 |
| NZ Experian - Finances - Household Annual Income - $70,001-$100,000 | 90 | NZ Experian - Finances - Household Annual Income - $70,001-$100,000 | -2147462180 |
| NZ Experian - Finances - Personal Annual Income - $10,001-$20,000 | 90 | NZ Experian - Finances - Personal Annual Income - $10,001-$20,000 | -2147462178 |
| NZ Experian - Finances - Personal Annual Income - $20,001-$30,000 | 90 | NZ Experian - Finances - Personal Annual Income - $20,001-$30,000 | -2147462068 |
| NZ Experian - Finances - Personal Annual Income - $30,001-$50,000 | 90 | NZ Experian - Finances - Personal Annual Income - $30,001-$50,000 | -2147462067 |
| NZ Experian - Finances - Personal Annual Income - $5,000 or less | 90 | NZ Experian - Finances - Personal Annual Income - $5,000 or less | -2147462066 |
| NZ Experian - Finances - Personal Annual Income - $5,001-$10,000 | 90 | NZ Experian - Finances - Personal Annual Income - $5,001-$10,000 | -2147462177 |
| NZ Experian - Finances - Personal Annual Income - $50,001 or more | 90 | NZ Experian - Finances - Personal Annual Income - $50,001 or more | -2147462176 |
| NZ Experian - Finances - Source of Household Income - Domestic purposes benefit | 90 | NZ Experian - Finances - Source of Household Income - Domestic purposes benefit: Single parent receiving child benefits | -2147462065 |
| NZ Experian - Finances - Source of Household Income - Interest, dividends, rent, other investment | 90 | NZ Experian - Finances - Source of Household Income - Interest, dividends, rent, other investment | -2147462064 |
| NZ Experian - Finances - Source of Household Income - NZ superannuation or veterans pension | 90 | NZ Experian - Finances - Source of Household Income - NZ superannuation or veterans pension | -2147462063 |
| NZ Experian - Finances - Source of Household Income - Self-employment or business | 90 | NZ Experian - Finances - Source of Household Income - Self-employment or business | -2147462174 |
| NZ Experian - Finances - Source of Household Income - Wages, salary, commissions, bonuses | 90 | NZ Experian - Finances - Source of Household Income - Wages, salary, commissions, bonuses | -2147462173 |
| NZ RDA Research - geoTribes - Surviviors: Retirees Living on Minimal Incomes | 90 | Retirees living on minimal incomes - subsistence living on government benefits | -2147427633 |
| NZ Roy Morgan - Helix Personas - 100 Leading Lifestyle - 102 Smart Money | 90 | NZ Users: Well-educated, high-income professionals, tech-savvy, typically married without children, inner-suburbs | rmnz.helix.nz.100.102 |
| NZ Roy Morgan - Vertical Segments - Finance - First Home Buyer | 90 | NZ Users: Who are at least 20% more likely than the average Kiwi to be buying their first house | rmnz.rmvtnz.fin.fhb |
| NZ Roy Morgan - Vertical Segments - Finance - Heavy Credit Card User | 90 | NZ Users: Who are at least 20% more likely than the average Kiwi to be a heavy credit card user | rmnz.rmvtnz.fin.cc |
| NZ Roy Morgan - Vertical Segments - Finance - HNWI | 90 | NZ Users: Who are at least 20% more likely than the average Kiwi to have between $500,000 and $999,000 in savings and investments | rmnz.rmvtnz.fin.hnwi |
| NZ Roy Morgan - Vertical Segments - Finance - Investment Property Owner / Investor | 90 | NZ Users: Who are at least 20% more likely than the average Kiwi to have a mortgage on an investment property | rmnz.rmvtnz.fin.inv |
| NZ Roy Morgan - Vertical Segments - Finance - SMSF (Self Managed Super Fund) | 90 | NZ Users: Who are at least 20% more likely than the average Kiwi to have a Self Managed Super Fund | rmnz.rmvtnz.fin.smsf |
| PL Netsprint - Business - Income Level - From 3.000 to 6.000 PLN net | 180 | Polish Users: With an income level from 3.000 to 6.000 PLN net | -2147444015 |
| PL Netsprint - Business - Income Level - From 6.000 to 9.000 PLN net | 180 | Polish Users: With an income level from 6.000 to 9.000 PLN net | -2147444014 |
| PL Netsprint - Business - Income Level - From 9.000 to 12.000 PLN net | 180 | Polish Users: With an income level from 9.000 to 12.000 PLN net | -2147443911 |
| PL Netsprint - Business - Income Level - More than 12.000 PLN net | 180 | Polish Users: With an income level more than 12 000 PLN net | -2147443910 |
| PL Netsprint - Business - Job Sector - Banking and Finance | 180 | Polish Users: Segmented based on career industry declared or registered on a site in the field of Banking and Finance | n.bu.js.bf |
| PL Netsprint - Business - Predicted Income Level - From 3.000 to 6.000 PLN net | 7 | Polish Users: Segmented based on predicted income level from 3.000 to 6.000 PLN net | -2147438823 |
| PL Netsprint - Business - Predicted Income Level - From 6.000 to 9.000 PLN net | 7 | Polish Users: Segmented based on predicted income level from 6.000 to 9.000 PLN net | -2147438822 |
| PL Netsprint - Interest - Finances and Accounting | 30 | Polish Users: Who search/browse sites with Finances and Accounting content | n.intr.fa |
| PL Netsprint - Interest - Finances and Accounting - Accounting | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Accounting | n.intr.fa.a |
| PL Netsprint - Interest - Finances and Accounting - Credits and Loans | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Credits and Loans | n.intr.fa.cl |
| PL Netsprint - Interest - Finances and Accounting - Credits and Loans - Auto Loans and Leasing | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Auto Loans or Leasing | -2147438817 |
| PL Netsprint - Interest - Finances and Accounting - Credits and Loans - Mortgage | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Mortgage Loans | -2147438816 |
| PL Netsprint - Interest - Finances and Accounting - Credits and Loans - Payday Loans | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Payday Loans | -2147438815 |
| PL Netsprint - Interest - Finances and Accounting - Currency | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Currency | n.intr.fa.curr |
| PL Netsprint - Interest - Finances and Accounting - Insurance | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Insurance | n.intr.fa.i |
| PL Netsprint - Interest - Finances and Accounting - Insurance - Car Insurance | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Car Insurance | -2147438814 |
| PL Netsprint - Interest - Finances and Accounting - Insurance - Home Insurance | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Home Insurance | -2147438813 |
| PL Netsprint - Interest - Finances and Accounting - Insurance - Life Insurance | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Life Insurance | -2147438858 |
| PL Netsprint - Interest - Finances and Accounting - Insurance - Travel Insurance | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Travel Insurance | -2147438857 |
| PL Netsprint - Interest - Finances and Accounting - Investment and Savings | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Investment and Savings | n.intr.fa.is |
| PL Netsprint - Interest - Finances and Accounting - Pension and Retirement | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Pension and Retirement | n.intr.fa.pre |
| PL Netsprint - Interest - Finances and Accounting - Personal Finance | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Personal Finance | n.intr.fa.pf |
| PL Netsprint - Interest - Finances and Accounting - Stock Exchange | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Stock Exchange | n.intr.fa.se |
| PL Netsprint - Interest - Finances and Accounting - Taxes | 30 | Polish Users: Who search/browse sites with Finances and Accounting content, which indicated an interest in Taxes | n.intr.fa.t |
| PL Netsprint - Predicted Purchase Intent - Finance - Car Insurance | 7 | Polish Users: Segmented based on predicted Purchase Intent: Finance - Car Insurance | -2147438778 |
| PL Netsprint - Predicted Purchase Intent - Finance - Credits and Loans | 7 | Polish Users: Segmented based on predicted Purchase Intent: Finance - Credits and Loans | -2147438773 |
| PL Netsprint - Purchase Intent - Finance | 7 | Polish Users: Who search/browse sites with Finance purchase information | n.pin.fn |
| PL Netsprint - Purchase Intent - Finance - Car Insurance | 7 | Polish Users: Who search/browse sites with Finance purchase information, which indicated an interest in Car Insurance | n.pin.fn.ci |
| PL Netsprint - Purchase Intent - Finance - Credits and Loans | 7 | Polish Users: Who search/browse sites with Finance purchase information, which indicated an interest in Credits and Loans | n.pin.fn.cl |
| RU Aidata - Finance | 90 | Visitors of banks and insurance companies sites, interested in different bank services -deposits, insurance programs, loans. | -2147472513 |
| RU Aidata - Finance - Business Finance Services | 90 | Interested in Business Finance services | -2147472440 |
| RU Aidata - Finance - Other Finance Services - Customs Brokers | 90 | Users seeking information about customs brokers service. | -2147471729 |
| RU Aidata - Finance - Other Finance Services - Forex | 90 | Visitors of forex resources - forums, exchanges, articles. | -2147471806 |
| RU Aidata - Finance - Personal Finance Services | 90 | Interested in Personal finance services (banking, insurance) | -2147472438 |
| RU Aidata - Finance - Personal Finance Services - Banking | 90 | Visitors of bank sites interested im bank services. | -2147471805 |
| RU Aidata - Finance - Personal Finance Services - Banking - Bankomat Users | 90 | Brousing for bankomats information on bank sites. | -2147471465 |
| RU Aidata - Finance - Personal Finance Services - Banking - Checking and Savings | 90 | Users who visit site sections about deposits, bank savings schemes. | -2147471464 |
| RU Aidata - Finance - Personal Finance Services - Banking - Credit Cards | 60 | Users interested in bank credit cards offers. | -2147471441 |
| RU Aidata - Finance - Personal Finance Services - Banking - Credit Cards - Small Business Cards | 60 | Users interested in bank credit cards offers for small business owners. | -2147471196 |
| RU Aidata - Finance - Personal Finance Services - Banking - Remittances | 90 | Visitors of online services of remittances | -2147471463 |
| RU Aidata - Finance - Personal Finance Services - Insurance | 60 | Visitors interested in insurance services. | -2147471804 |
| RU Aidata - Finance - Personal Finance Services - Insurance - Auto Insurance | 60 | Visitors interested in auto insurance. | -2147471440 |
| RU Aidata - Finance - Personal Finance Services - Insurance - Homeowners Insurance | 90 | Visitors interested in Homeowners Insurance | -2147471439 |
| RU Aidata - Finance - Personal Finance Services - Insurance - Life Insurance | 90 | Visitors interested in Life Insurance | -2147471438 |
| RU Aidata - Finance - Personal Finance Services - Insurance - Personal and Health Insurance | 60 | Visitors interested in health insurance. | -2147471437 |
| RU Aidata - Finance - Personal Finance Services - Insurance - Property Insurance | 60 | Visitors interested in property insurance. | -2147471461 |
| RU Aidata - Finance - Personal Finance Services - Invest Services | 90 | Investors and investment services. | -2147471724 |
| RU Aidata - Finance - Personal Finance Services - Loans | 90 | Visitors of sites about loans services | -2147471723 |
| RU Aidata - Finance - Personal Finance Services - Loans - Interested in Car Loan | 90 | Visitors of sites about loans services | -2147471460 |
| RU Aidata - Finance - Personal Finance Services - Loans - Interested in Consumer Loans | 90 | Visitors of sites about consumer loans | -2147471435 |
| RU Aidata - Finance - Personal Finance Services - Loans - Micro Credits | 30 | Users interested in micro consumers credits, visiting bank sites with special credit offers, browsing for credit help services. | -2147471434 |
| RU Aidata - Finance - Personal Finance Services - Loans - Mortgage | 90 | Users interested in mortgage. | -2147471433 |
| RU Aidata - Finance - Personal Finance Services - Retire Planning | 90 | Users interested in pension programs, visiting special pages of bank sites and portals. | -2147471722 |
| RU Aidata - Finance - Personal Finance Services - Taxes (Personal Finance) | 90 | Users interested in personal taxes | -2147471803 |
| RU Aidata - Lifestyle - Household Income - A (Low) | 90 | Lower middle income. | -2147471685 |
| RU Aidata - Lifestyle - Household Income - B (Medium) | 90 | Average income. | -2147471684 |
| RU Aidata - Lifestyle - Household Income - C (High) | 90 | Above average income. | -2147471683 |
| RU Aidata - Lifestyle - Household Income - C+ (Extra High) | 90 | High income. | -2147471775 |
| RU Aidata - Occupation and Career - Occupation Area - Accounting and Finance | 90 | Users visiting specialized resources for professionals of finance as well as pages with vacancies in this field. | -2147471773 |
| RU Aidata - Occupation and Career - Seeking Employment - Interested in Earning Money on the Internet | 90 | Users interested in earning money on the Internet | -2147471666 |
| RU AmberData - Careers - Accounting and Finance | 30 | Users attending specialized professional resources in the field of finance, as well as pages with vacancies in this area | -2147473892 |
| RU AmberData - Finance and Insurance - Banking, Checking and Saving | 30 | Visitors to sites of banks, who are interested in deposits, insurance programs, loans | -2147473792 |
| RU AmberData - Finance and Insurance - Consumer Credits | 30 | Users interested in consumer loans | -2147473741 |
| RU AmberData - Finance and Insurance - Credit | 30 | Visitors to sites of banks, who are interested in lending services | -2147473740 |
| RU AmberData - Finance and Insurance - Currency | 30 | Users who are interested in operations with the currency exchange rate | -2147473739 |
| RU AmberData - Finance and Insurance - Finance and Insurance | 30 | Visitors to sites of banks and insurance companies, who are interested in deposits, insurance programs, loans | -2147473791 |
| RU AmberData - Finance and Insurance - Forex | 30 | Visitors of the resources about Forex, including forums, articles, forek-site | -2147473790 |
| RU AmberData - Finance and Insurance - Health Insurance | 30 | Web visitors of the insurance companies who are interested in life insurance and health | -2147473738 |
| RU AmberData - Finance and Insurance - Insurance | 30 | Visitors to sites of banks and insurance companies, who are interested in deposits, insurance programs, loans | -2147473789 |
| RU AmberData - Finance and Insurance - Investing | 30 | Users who are interested in investors' services | -2147473788 |
| RU AmberData - Finance and Insurance - Property Insurance | 30 | Web visitors of the insurance companies who are interested in insurance property (real estate, transportation, etc.) | -2147473787 |
| RU AmberData - Finance and Insurance - Remittances | 30 | Users who are interested in remittances | -2147473737 |
| RU AmberData - Finance and Insurance - Small Business Credit | 30 | Small business loans | -2147473736 |
| RU AmberData - Finance and Insurance - Stock Market | 30 | Visitors resources about the stock market(securities market), including forums, articles, stock platform | -2147473786 |
| Southeast Asia (SEA) - Interest - Personal Finance | 30 | Southeast Asian Users: With Interest in Personal Finance | - |
| TH AimMatic - Interest - AA TTS Money, Business, and Career | 15 | TH Users in locations ranked AA second-highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466513 |
| TH AimMatic - Interest - AAA TTS Money, Business, and Career | 15 | TH Users in locations ranked AAA highest by Total Time Spent online and offline for this behavior: Money, Business, and Career | -2147466572 |
| TR Onedio - Demo - Income level - High income | 120 | Users that have a high income level | -2147445131 |
| TR Onedio - Demo - Income level - Low income | 120 | Users that have a low income level | -2147445130 |
| TR Onedio - Demo - Income level - Mid income | 120 | Users that have a medium income level | -2147445129 |
| TR Onedio - Interest - Business - Finance | 120 | Users that are interested in Finance | -2147445066 |
| TR Onedio - Interest - Lifestyle - High Income & Luxury | 120 | Users that are interested in high income and luxury items | -2147445173 |
| TR ReklamStore - B2B - Industry - Functional Area - Finance | 30 | Users with B2B purchase intent for Finance industry | -2147463646 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Akbank | 30 | Users who are Akbank customers | -2147463621 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Denizbank | 30 | Users who are Denizbank customers | -2147463524 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Finansbank | 30 | Users who are Finansbank customers | -2147463523 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Garanti | 30 | Users who are Garanti customers | -2147463522 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Halkbank | 30 | Users who are Halkbank customers | -2147463620 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Is Bankasi | 30 | Users who are İs Bankasi Customers | -2147463521 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Turk Ekonomi Bankasi | 30 | Users who are Turk Ekonomi Bankasi customers | -2147463520 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Vakifbank | 30 | Users who are Vakifbank customers | -2147463619 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Yapi Kredi | 30 | Users who are Yapi Kredi customers | -2147463519 |
| TR ReklamStore - Demographic - Finance and Insurance - Banking - Ziraat Bankasi | 30 | Users who are Ziraat Bankasi customers | -2147463618 |
| TR ReklamStore - Demographic - Finance and Insurance - Credit Card Users | 30 | Users who are Credit Card users | -2147463617 |
| TR ReklamStore - Demographic - Finance and Insurance - Credit Card Users - Debt | 30 | Users who have unpaid debt | -2147463518 |
| TR ReklamStore - Interest - Banking and Finance - Credit - Auto | 30 | Users who are interested in auto credit | -2147462710 |
| TR ReklamStore - Interest - Banking and Finance - Entrepreneur - Men | 30 | Users who are Entrepreneur and Male | -2147462709 |
| TR ReklamStore - Interest - Banking and Finance - Entrepreneur - Women | 30 | Users who are Entrepreneur and Female | -2147462757 |
| TR ReklamStore - Interest - Banking and Finance - Paypal | 30 | Users who are interested in Paypal | -2147463325 |
| TR ReklamStore - Interest - Finance and Insurance - Insurance | 30 | Users who are interested in insurance | -2147463260 |
| TR ReklamStore - Interest - Finance and Insurance - Investment - Forex | 30 | Users who are interested in Forex | -2147463258 |
| TR ReklamStore - Interest - Finance and Insurance - Taxes | 30 | Users who are interested in Taxes | -2147463257 |
| TR ReklamStore - Interest - Finance and Insurance - Thinking of getting a loan | 30 | Users who are intested in a Loan | -2147463217 |
| UK CACI - Acorn - Group - C Mature Money | 90 | UK Users: Older, affluent people with the money and time to enjoy life | caci.acorn.1.C |
| UK CACI - Acorn - Type - 02 Metropolitan Money | 90 | UK Users: Affluent professionals, large apartments or town houses, six figure salaries, significant assets, have second homes | caci.acorn.1.A.2 |
| UK CACI - Acorn - Type - 28 Owner Occupied Terraces, Average Income | 90 | UK Users: Terraced housing, towns and urban areas, families short of space, average incomes, a few second mortgages, moderate use of the internet | caci.acorn.3.H.28 |
| UK CACI - Fresco - Segment - 07 High-Income Professionals | 90 | UK Users: Highest income levels and house prices. Substantial savings and investments. Middle aged couples and families | caci.fresco.7 |
| UK CACI - Fresco - Segment - 12 Low Income Elderly | 90 | UK Users: Retired, over 65's. Low incomes, some living off state pensions. Cautious with financial products and spend | caci.fresco.12 |
| UK CACI - Ocean - Demographic - Inferred Household Income - 20,000-40,000 GBP | 90 | UK Users: Whose household income is inferred to be £20,000 to £40,000 based on demographic and lifestyle data | caci.o.dem.ihi.20-40k |
| UK CACI - Ocean - Demographic - Inferred Household Income - 40,000-75,000 GBP | 90 | UK Users: Whose household income is inferred to be £40,000 to £75,000 based on demographic and lifestyle data | caci.o.dem.ihi.40-75k |
| UK CACI - Ocean - Demographic - Inferred Household Income - 75,000+ GBP | 90 | UK Users: Whose household income is inferred to be £75,000+ based on demographic and lifestyle data | caci.o.dem.ihi.75kplus |
| UK Experian - Financial Strategy Segments (FSS) 3 - Group - I Stretched Finances | 90 | UK Users: Middle-aged families, striving to manage day-to-day finances, limited incomes | fss.g.I |
| UK Experian - Financial Strategy Segments (FSS) 4 - Group - B Money Makers | 90 | High income households who are in the process of accruing assets, despite high expenditure, to give financial security | -2147427974 |
| UK Experian - Financial Strategy Segments (FSS) 4 - Type - 32 Combined Income | 90 | Unassuming older parents with adult children at home, whose combined wages add up to a reasonable household income | -2147427915 |
| UK Experian - Mosaic - Type - K48 Low Income Workers | 90 | UK Users: Older social renters settled in low-value homes in communities where employment is harder to find | exuk.typ.K48 |
| UK GfK - FRS - Financial Products - Insurance - Life Assurance Holder - Income Protection Holder | 90 | Has Income Protection Insurance | ukgfk.finprod.insu.lifeassu.incprotect |
| UK GfK - Purchasing Power - High Level Income Individuals / ABC1 / Affluent | 90 | UK Users: individuals with high level spend power, affluent individuals, luxury spenders, ABC1 | ukgfk.pp.hlih |
| UK GfK - Purchasing Power - Mid Level Income Individuals / Mid-Market | 90 | UK Users: individuals with mid level spend power, mid-market, mainstream | ukgfk.pp.mlih |
| UK Kantar Media TGI - Finance - Credit Card For Business | 90 | UK Users: Who have access to a credit card for business use | -2147465471 |
| UK Kantar Media TGI - Finance - Credit Stretchers | 90 | UK Users: Who transfer credit card balances and change provider | -2147465366 |
| UK Kantar Media TGI - Finance - Have Used a Pay Day Loan | 90 | UK Users: Who have used a pay day loan facility | ktgi.fin.payloan |
| UK Kantar Media TGI - Finance - Word of Mouth - Financial Services Influencers | 90 | Users who promote financial services when they have a good experience | -2147440452 |
| UK Kantar Media TGI - Lifestyle and Attitude - I look for profitable ways to invest my money | 90 | Users who are willing to invest their money in schemes | -2147440434 |
| UK OmniDIGITAL by MeritDirect - Job Function - Finance | 90 | This segment targets Job Function Finance | ukmerit.jobfunc.finance |
| UK YouGov - Demographics Social Grade (Chief Income Earner) - A | 90 | Users that are likely to be in Social grade A | -2147480534 |
| UK YouGov - Demographics Social Grade (Chief Income Earner) - B | 90 | Users that are likely to be in Social grade B | -2147480533 |
| UK YouGov - Demographics Social Grade (Chief Income Earner) - C1 | 90 | Users that are likely to be in Social grade C1 | -2147480587 |
| UK YouGov - Demographics Social Grade (Chief Income Earner) - C2 | 90 | Users that are likely to be in Social grade C2 | -2147480586 |
| UK YouGov - Demographics Social Grade (Chief Income Earner) - D | 90 | Users that are likely to be in Social grade D | -2147480584 |
| UK YouGov - Demographics Social Grade (Chief Income Earner) - E | 90 | Users that are likely to be in Social grade E | -2147480583 |
| UK YouGov - Finance - Cards Loans Building Societies - Customer Of Mastercard | 90 | User who is likely to be a customer of Mastercard | -2147479730 |
| UK YouGov - Finance - Cards Loans Building Societies - Customer Of Paypal | 90 | User who is likely to be a customer of Paypal | -2147479725 |
| UK YouGov - Finance - Cards Loans Building Societies - Customer Of Visa | 90 | User who is likely to be a customer of Visa | -2147479724 |
| UK YouGov - Finance - High Street Banks - Customer Of Barclays | 90 | User who is likely to be a customer of Barclays | -2147479722 |
| UK YouGov - Finance - High Street Banks - Customer Of Co-Operative Bank | 90 | User who is likely to be a customer of Co-Operative Bank | -2147479790 |
| UK YouGov - Finance - High Street Banks - Customer Of Halifax | 90 | User who is likely to be a customer of Halifax | -2147479789 |
| UK YouGov - Finance - High Street Banks - Customer Of Hsbc | 90 | User who is likely to be a customer of HSBC | -2147479787 |
| UK YouGov - Finance - High Street Banks - Customer Of Lloyds Bank | 90 | User who is likely to be a customer of Lloyds Bank | -2147479719 |
| UK YouGov - Finance - High Street Banks - Customer Of Nationwide | 90 | User who is likely to be a customer of Nationwide | -2147479786 |
| UK YouGov - Finance - High Street Banks - Customer Of Natwest | 90 | User who is likely to be a customer of Natwest | -2147479785 |
| UK YouGov - Finance - High Street Banks - Customer Of Royal Bank Of Scotland | 90 | User who is likely to be a customer of Bank of Scotland | -2147479713 |
| UK YouGov - Finance - High Street Banks - Customer Of Santander | 90 | User who is likely to be a customer of Santander | -2147479711 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 10000 To GPB 14999 Per Year | 90 | User that are likely to have a gross personal income of GPB 10000 To GPB 14999 Per Year | -2147478377 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 15000 To GPB 19999 Per Year | 90 | User that are likely to have a gross personal income of GPB 15000 To GPB 19999 Per Year | -2147478374 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 20000 To GPB 24999 Per Year | 90 | User that are likely to have a gross personal income of GPB 20000 To GPB 24999 Per Year | -2147478372 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 25000 To GPB 29999 Per Year | 90 | User that are likely to have a gross personal income of GPB 25000 To GPB 29999 Per Year | -2147478446 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 30000 To GPB 34999 Per Year | 90 | User that are likely to have a gross personal income of GPB 30000 To GPB 34999 Per Year | -2147478344 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 35000 To GPB 39999 Per Year | 90 | User that are likely to have a gross personal income of GPB 35000 To GPB 39999 Per Year | -2147478368 |
| UK YouGov - Household And Economics - Income - Gross Personal - GPB 5000 To GPB 9999 Per Year | 90 | User that are likely to have a gross personal income of GPB 5000 To GPB 9999 Per Year | -2147478339 |
| UK YouGov - Interests - General - Business And Finance | 90 | Users interested in Business And Finance | -2147479150 |
| US ALC - B2B - Demographic - Employment Industry - Finance | 90 | Decision makers at companies in the industry of finance including depository institutions, non-depository credit institutions, investment banking, portfolio/wealth management, venture capital, financial advice, brokers and dealers in securities and commodity contracts, and security and commodity exchanges, or credit card transaction processing. | -2147463909 |
| US ALC - B2B - Demographic - Employment Industry - Finance - Accounting | 90 | Decision makers in the area of Finance: Accounting. | -2147463874 |
| US ALC - B2B - Demographic - Employment Industry - Finance - Banking | 90 | Decision makers in the area of Finance: Banking. | -2147463959 |
| US ALC - B2B - Demographic - Employment Industry - Finance - Financial Advisors | 90 | Decision makers in the area of Finance: Financial Advisors. | -2147463958 |
| US ALC - B2B - Demographic - Employment Industry - Finance - Investment Banking | 90 | Decision makers at companies engaged in the underwriting, purchase, sale or brokerage of securities and other financial contracts on their own account or for the account of others; and exchanges, exchange clearinghouses, bank holding companies and mangement investment offices. | -2147463873 |
| US ALC - B2B - Demographic - Employment Industry - Government - Public Finance, Taxation and Monetary Policy | 90 | Decision makers at government organizations primarily engaged in public finance, taxation and monetary policy. | -2147463716 |
| US ALC - Demographic - Household Income - $100,000-$149,999 | 90 | Individuals with a Household Income between $100,000 and $149,999. Sources: Self-reported or Estimated based on demograhics including age, survey data, public data, and registrations. | -2147439142 |
| US ALC - Demographic - Household Income - $150,000-$199,999 | 90 | Individuals with a Household Income between $150,000 and $199,999. Sources: Self-reported or Estimated based on demograhics including age, survey data, public data, and registrations. | -2147439130 |
| US ALC - Demographic - Household Income - $200,000-$249,999 | 90 | Individuals with a Household Income between $200,000 and $249,999. Sources: Self-reported or Estimated based on demograhics including age, survey data, public data, and registrations. | -2147439222 |
| US ALC - Demographic - Household Income - $75,000-$99,999 | 90 | Individuals with a Household Income between $75,000 and $99,999. Sources: Self-reported or Estimated based on demograhics including age, survey data, public data, and registrations. | -2147439141 |
| US ALC - Demographic - Household Income - Less than $75,000 | 90 | Individuals with a Household Income less than $75,000. Sources: Self-reported or Estimated based on demograhics including age, survey data, public data, and registrations. | -2147439140 |
| US ALC - Demographic - Household Income - More than $250,000 | 90 | Individuals with a Household Income greater than $250,000. Sources: Self-reported or Estimated based on demograhics including age, survey data, public data, and registrations. | -2147439139 |
| US Dun & Bradstreet - B2B Decision Makers (DM) - Finance Decision Makers | 90 | This segment contains people in a decision-making function for Finance. | -2147462493 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance | 90 | This segment contains people working in the Finance and Insurance industry. Sample titles include: Insurance Sales, Home Mortgage Consultant, Financial Adviser, Insurance Agent, Vice President Of Mortgage Lending | -2147462469 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Asset Management | 90 | This segment contains people working in the Finance and Insurance industry, specifically in the field of Asset Management. Sample titles include: Principal, Financial Advisor, Chief Financial Officer, Portfolio Manager | -2147462561 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Credit Intermediation | 90 | This segment contains people working in the Finance and Insurance industry, specifically in the field of Credit Intermediation. Sample titles include: Personal Banker, Home Mortgage Consultant, Loan Processor, Vice President Of Mortgage Lending, Vice President Branch Manager | -2147462468 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Credit Unions | 90 | This segment contains people working in the Finance and Insurance industry, specifically in Credit Unions. Sample titles include: Branch Manager, Site Manager, Personal Banker, Loan Officer, Banker | -2147462560 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Financial Investments | 90 | This segment contains people working in the Finance and Insurance industry, specifically in the field of Financial Investments. Sample titles include: Vice President Investments, Investment Consultant, Financial Adviser, Investment Executive | -2147462467 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Funds and Trusts | 90 | This segment contains people working in the Finance and Insurance industry, specifically in the field of Funds and Trusts. Sample titles include: Portfolio Manager, Analyst, Associate, Broker | -2147462559 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Independent Broker | 90 | This segment contains people working in a Sales capacity, specifically as a Insurance Broker. Sample titles include: Insurance Agent, Mortgage Broker, Broker, Underwriter, Associate Broker | -2147462558 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Insurance | 90 | This segment contains people working in the Finance and Insurance industry, specifically in the field of Insurance. Sample titles include: Insurance Sales, Licensed Insurance Agent, District Leader, Insurance Producer, Insurance Agent | -2147462466 |
| US Dun & Bradstreet - B2B Industry - Finance and Insurance - Retail Banking | 90 | This segment contains people working in the Finance and Insurance industry, specifically in the field of Retail Banking. Sample titles include: Branch Manager, Site Manager, Personal Banker, Loan Officer, Banker | -2147462557 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance | 90 | This segment contains people working in a Finance, Banking or Insurance capacity. Sample titles include: Chief Financial Officer, Controller, Financial Advisor, Business Manager, Accountant | -2147462658 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Accounting | 90 | This segment contains people working in a Finance capacity, specifically in an Accounting role. Sample titles include: Accountant, Accounting Manager, Bookkeeper, Certified Public Accountant, Senior Accountant | -2147462657 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Admin | 90 | This segment contains people working in a Finance capacity, specifically in an Admin role. Sample titles include: Administrative Assistant, Corporate Secretary, Office Administrator, Executive Administrative Assistant, Senior Administrative Assistant | -2147462656 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Audit | 90 | This segment contains people working in a Finance capacity, specifically in an Audit role. Sample titles include: Auditor, Audit Manager, Internal Auditor, Senior Auditor, Senior Internal Auditor | -2147462655 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - CFO (Chief Financial Officer) | 90 | This segment contains people working in a Finance role as a CFO | -2147462654 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Compliance and Governance | 90 | This segment contains people working in a Compliance or Governance capacity. Sample titles include: Compliance Officer, Director Of Risk Management, Chief Compliance Officer, Security Officer, Risk Manager | -2147462542 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Corporate Finance and MandA | 90 | This segment contains people working in a Finance capacity, specifically in a Corporate Finance and M&A role. Sample titles include: Chief Strategy Officer, Director Of Acquisitions, Corporate Finance, Strategy Consultant, Vice President Corporate Finance | -2147462653 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Defined Contribution Investment Officer (DCIO) | 90 | This segment contains people working in a Finance capacity, specifically in a Defined Contribution Investment Officer (DCIO) role. Sample titles include: Pension Administrator, Pension Consultant, Pension Analyst, Pension Manager | -2147462652 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Economist | 90 | This segment contains people working in a Finance capacity, specifically in an Economist role. Sample titles include: Economist, Senior Economist, Chief Economist, International Economist, Agricultural Economist | -2147462651 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Finance Management | 90 | This segment contains people working in a Finance capacity, specifically in a Financial Management role. Sample titles include: Controller, Finance Executive, Finance Director, Finance Manager, VP Finance | -2147462648 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Financial Advisor | 90 | This segment contains people working in a Finance capacity, as a Financial Advisor | -2147462649 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Financial Analyst | 90 | This segment contains people working in a Finance capacity, specifically in a Financial Analyst role. Sample titles include: Financial Analyst, Senior Financial Analyst, Investment Analyst, Information Technology Business Analyst, Risk Analyst | -2147462650 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - General Finance | 90 | This segment contains people working in a Finance capacity, specifically in a General Finance role. Sample titles include: Chief Financial Officer, Controller, Finance Executive, Finance Manager, Loan Officer | -2147462647 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Investor Relations | 90 | This segment contains people working in a Finance capacity, specifically in a Investor Relations role. Sample titles include: Director Of Investor Relations, Investor Relations Manager, Vice President Of Investor Relations, Head Of Investor Relations, Investor Relations Coordinator | -2147462646 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Payroll | 90 | This segment contains people working in a Finance capacity, specifically in a Payroll role. Sample titles include: Payroll Manager, Payroll Specialist, Payroll Administrator, Payroll Supervisor, Senior Payroll Specialist | -2147462645 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Procurement | 90 | This segment contains people working in a Procurement capacity. Sample titles include: Purchasing Manager, Purchasing Agent, Buyer, Business & Purchasing Director | -2147462544 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Risk Management | 90 | This segment contains people working in a Finance capacity, specifically in a Risk Management role. Sample titles include: Credit Manager, Risk Manager, Director Of Risk Management, Actuary, Senior Underwriter | -2147462543 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Tax Specialists | 90 | This segment contains people working in a Finance capacity, specifically in a Tax Specialists role. Sample titles include: Tax Manager, Tax Preparer, Senior Tax Manager, Tax Associate, Tax Consultant | -2147462541 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Treasurer | 90 | This segment contains people working in a Finance capacity, specifically in a Treasurer role. Sample titles include: Treasurer, Secretary, Treasurer, Assistant Treasurer, Vice President, Treasurer, Controller And Treasurer | -2147462623 |
| US Dun & Bradstreet - B2B Job Function / Roles - Finance - Wealth Managers | 90 | This segment contains people working in a Finance capacity, specifically in a Wealth Manager role. Sample titles include: Wealth Manager, Portfolio Manager, Wealth Advisor, Portfolio Analyst | -2147462540 |
| US Dun & Bradstreet - B2B Professionals - Finance Professionals | 90 | This segment contains all finance professionals | -2147462582 |
| US Experian - Business - Standard Industrial Classification (SIC) - Executive, Legislative and General Government, Except Finance | 90 | This segment includes people who are likely to work for businesses involved in the "executive, legislative & general government (except finance)" industry. Based on the Standard Industrial Classification Codes (SIC). | usexp.biz.sic.elggef |
| US Experian - Business - Standard Industrial Classification (SIC) - Public Finance, Taxation and Monetary Policy | 90 | This segment includes people who are likely to work for businesses involved in the "public finance, taxation and monetary policy" industry. Based on the Standard Industrial Classification Codes (SIC). | usexp.biz.sic.pftmp |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 01 Extremely likely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are extremely likely to refinance a mortgage. | usexp.cfi.mr.1 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 02 Highly likely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are highly likely to refinance a mortgage. | usexp.cfi.mr.2 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 03 Very likely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are very likely to refinance a mortgage. | usexp.cfi.mr.3 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 04 Somewhat likely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are somewhat likely to refinance a mortgage. | usexp.cfi.mr.4 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 05 Likely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are likely to refinance a mortgage. | usexp.cfi.mr.5 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 06 Somewhat unlikely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are somewhat unlikely to refinance a mortgage. | usexp.cfi.mr.6 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 07 Very unlikely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are very unlikely to refinance a mortgage. | usexp.cfi.mr.7 |
| US Experian - Consumer Financial Insights - Mortgage Refinance - 08 Highly unlikely to refinance | 90 | This Consumer Financial Insights Mortgage Refinance segment contains consumers who are highly unlikely to refinance a mortgage. | usexp.cfi.mr.8 |
| US Experian - Demographics - Household Income - $1,000-$24,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $1,000-$24,999. | usexp.demo.hi.24 |
| US Experian - Demographics - Household Income - $100,000-$124,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $100000-$124,999. | usexp.demo.hi.124 |
| US Experian - Demographics - Household Income - $125,000-$149,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $125000-$149,999. | usexp.demo.hi.149 |
| US Experian - Demographics - Household Income - $150,000-$174,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $150000-$174,999. | usexp.demo.hi.174 |
| US Experian - Demographics - Household Income - $175,000-$199,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $175,000-$199,999. | usexp.demo.hi.199 |
| US Experian - Demographics - Household Income - $200,000-$249,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $200,000-$249.999. | usexp.demo.hi.249 |
| US Experian - Demographics - Household Income - $25,000-$49,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $25,000-$49,999. | usexp.demo.hi.49 |
| US Experian - Demographics - Household Income - $250,000+ | 90 | This segment includes consumers who are likely to have an estimated household income of $250,000+. | usexp.demo.hi.250 |
| US Experian - Demographics - Household Income - $50,000-$74,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $50,000-$74,999. | usexp.demo.hi.74 |
| US Experian - Demographics - Household Income - $75,000-$99,999 | 90 | This segment includes consumers who are likely to have an estimated household income of $75,000-$99,999. | usexp.demo.hi.99 |
| US Experian - Financial Personalities - Mortgage Financial Personality - Advice Seeking Refinancer, Slightly Above Average Mortgage Balance | 90 | This Financial Personality Mortgage segment contains consumers who are not likely to be confident in their knowledge of mortgages and will rely on others' advice to get the lowest rates, because they feel overwhelmed by the process. Slightly above average mortgage balance. | usexp.fp.mfp.asr |
| US Experian - Financial Personalities - Mortgage Financial Personality - Secure, Active Refinancer, Above Average Mortgage Balance | 90 | This Financial Personality Mortgage segment contains consumers who are likely to be confident in their knowledge of mortgage products and will watch for opportunities to refinance, without needing to meet someone in person. Above average mortgage balance. | usexp.fp.mfp.sar |
| US Experian - Mosaic - Group S: Economic Challenges - S70 Tight Money | 90 | This Mosaic segment contains consumers who are likely to be middle-aged, lower income unattached individuals in transitional small town and ex-urban apartments. | usexp.m.s.70 |
| US Experian - Psychographic / Attitudes - Financial Behavior - Careful Money Managers - Expanded | 90 | This segment contains consumers who are likely careful with money, managing money well, saving money and (shared with Investment Leader segment) feeling financially security. This expanded segment should be included for additional reach when the corresponding precision segment is selected. | usexp.psy.finbev.cmm.ex |
| US Experian - Psychographic / Attitudes - Financial Behavior - Careful Money Managers - Precision | 90 | This segment contains consumers who are likely careful with money, managing money well, saving money and (shared with Investment Leader segment) feeling financially security. Precision targets the top ranked tiers within this audience. | usexp.psy.finbev.cmm.pre |
| US Experian - Reach - Mosaic - Type - S70 Tight Money | 90 | US Users: Middle-aged, lower income unattached individuals in transitional small town and ex-urban apartments | us.m.t.s70 |
| US Experian - Reach - Propensity Models - Finance - Brokerage Account Owner | 90 | US Users: Indicates household's likelihood to include investors that have mutual fund or brokerage accounts. Based on the statistical analysis of consumers that have reported to invest in mutual fund or brokerage accounts. Values 1-99, 1=highest likelihood. | us.pm.f.bao |
| US Experian - Reach - Propensity Models - Finance - Credit / Debit Card - Corporate Credit Card User | 90 | US Users: Indicates household's likelihood to include corporate credit card Users. Based on the statistical analysis of consumers that have reported to use corporate credit cards. Values 1-99, 1=highest likelihood. | us.pm.f.cdc.cccu |
| US Experian - Reach - Propensity Models - Finance - Credit / Debit Card - Debit Card User | 90 | US Users: Indicates household's likelihood to include frequent debit card Users. Based on the statistical analysis of consumers that have reported to use debit cards 20+ times in the last 30 days. Values 1-99, 1=highest likelihood. | us.pm.f.cdc.dcu |
| US Experian - Reach - Propensity Models - Finance - Credit / Debit Card - Major Credit Card User | 90 | US Users: Indicates household's likelihood to include frequent major credit card Users. Based on the statistical analysis of consumers that have reported to use major credit cards 6+ times each month. Values 1-99, 1=highest likelihood. | us.pm.f.cdc.mccu |
| US Experian - Reach - Propensity Models - Finance - Credit / Debit Card - Premium Credit Card User | 90 | US Users: Indicates household's likelihood to include frequent premium credit card Users. Based on the statistical analysis of consumers that have reported to use premium credit cards 6+ times each month. Values 1-99, 1=highest likelihood. | us.pm.f.cdc.pccu |
| US Experian - Reach - Propensity Models - Finance - Credit / Debit Card - Store Credit Card User | 90 | US Users: Indicates household's likelihood to include store credit card Users. Based on the statistical analysis of consumers that have reported to use store credit cards 1+ times each month. Values 1-99, 1=highest likelihood. | us.pm.f.cdc.sccu |
| US Experian - Reach - Propensity Models - Finance - Insurance - Life Insurance Policy Holders | 90 | US Users: Predicts household's likelihood to include life insurance policy holders. Based on consumers that have reported to that have life insurance policies. | us.pm.f.i.liph |
| US Experian - Reach - Propensity Models - Finance - Insurance - Medical Insurance Policy Holders | 90 | US Users: Predicts household's likelihood to include medical insurance policy holders. Based on consumers that have reported to have individual, military, spouse or non-Medicare insurance. Values 01-99, 1=highest likelihood. | us.pm.f.i.miph |
| US Experian - Reach - Propensity Models - Finance - Insurance - Medicare Policy Holders | 90 | US Users: Predicts household's likelihood to include Medicare policy holders. Based on consumers age 65+ and reported to have Medicare policies. Values 01-99, 1=highest likelihood. | us.pm.f.i.mph |
| US Experian - Reach - Propensity Models - Finance - Investor | 90 | US Users: Indicates household's likelihood to include active investors. Based on the statistical analysis of consumers that have reported to have investments of 100K+. Values 1-99, 1=highest likelihood. | us.pm.f.in |
| US Experian - Reach - Propensity Models - Finance - Participate in Online Trading | 90 | US Users: Indicates household's likelihood to online traders. Based on the statistical analysis of consumers that have reported to online trade 1 or more times per month. Values 1-99, 1=highest likelihood. | us.pm.f.piot |
| US Experian - Reach - Sociodemographic - Household Income - $1,000-$24,999 | 90 | US Users: Who have a household income of $1,000-$24,999 | us.s.hi.1000-24999 |
| US Experian - Reach - Sociodemographic - Household Income - $100,000-$124,999 | 90 | US Users: Who have a household income of $100,000 - $124,999 | us.s.hi.100000-124999 |
| US Experian - Reach - Sociodemographic - Household Income - $125,000-$149,999 | 90 | US Users: Who have a household income of $125,000 - $149,999 | us.s.hi.125000-149999 |
| US Experian - Reach - Sociodemographic - Household Income - $150,000-$174,999 | 90 | US Users: Who have a household income of $150,000 - $174,999 | us.s.hi.150000-174999 |
| US Experian - Reach - Sociodemographic - Household Income - $175,000-$199,999 | 90 | US Users: Who have a household income of $175,000 - $199,999 | us.s.hi.175000-199999 |
| US Experian - Reach - Sociodemographic - Household Income - $200,000-$249,999 | 90 | US Users: Who have a household income of $200,000 - $249,999 | us.s.hi.200000-249999 |
| US Experian - Reach - Sociodemographic - Household Income - $25,000-$49,999 | 90 | US Users: Who have a household income of $25,000 - $49,999 | us.s.hi.25000-49999 |
| US Experian - Reach - Sociodemographic - Household Income - $250,000+ | 90 | US Users: Who have a household income of $250,000+ | us.s.hi.250000plus |
| US Experian - Reach - Sociodemographic - Household Income - $50,000-$74,999 | 90 | US Users: Who have a household income of $50,000 - $74,999 | us.s.hi.50000-74999 |
| US Experian - Reach - Sociodemographic - Household Income - $75,000-$99,999 | 90 | US Users: Who have a household income of $75,000 - $99,999 | us.s.hi.75000-99999 |
| US Experian - Reach - Sociodemographic - Occupation Group - Management / Business / Finance | 90 | US Users: Who belong to the occupation group of Management / Business / Finance | us.s.og.mbf |
| US Experian - Reach - TrueTouch - Show Me The Money | 90 | US Users: For this Touchpoint prove you're offering the absolute best deal. Show real savings, for example a buy-one-get-one opportunity. Deep discounts, low price and substantial savings provide heavy incentive. | us.tt.smtm |
| US Experian - True Touch - Motivating Message - Show me the money | 90 | Touchpoints help determine what motivation provokes buyer action and which messages will resonate with this audience. For this Touchpoint prove you're offering the absolute best deal. Show real savings, for example a buy-one-get-one opportunity. Deep discounts, low price and substantial savings provide heavy incentive. |
usexp.tt.mm.smtm |
| US EyeSocial - Finance - High Affinity - Banking | 120 | Powered by StatSocial - High affinity for banking | -2147443562 |
| US EyeSocial - Finance - High Affinity - Credit Cards | 120 | Powered by StatSocial - High affinity for credit cards | -2147443561 |
| US EyeSocial - Finance - High Affinity - Cryptocurrency | 120 | Powered by StatSocial - High affinity for cryptocurrency | -2147443460 |
| US EyeSocial - Finance - High Affinity - Insurance | 120 | Powered by StatSocial - High affinity for insurance | -2147443560 |
| US EyeSocial - Finance - High Affinity - Investments / Brokerage | 120 | Powered by StatSocial - High affinity for investments / brokerage | -2147443559 |
| US EyeSocial - Finance - High Affinity - Loans | 120 | Powered by StatSocial - High affinity for loans | -2147443420 |
| US EyeSocial - Finance - High Affinity - Payments | 120 | Powered by StatSocial - High affinity for payments (financial) | -2147443459 |
| US EyeSocial - Finance - High Affinity - Platforms | 120 | Powered by StatSocial - High affinity for platforms (financial) | -2147443458 |
| US Neustar - Attitudes - Uncomfortable Trusting Money to a Bank | 90 | This segment contains households that more likely to be Uncomfortable trusting money to a Bank. Neustar sources the voter file of 180m records and brings registered voters, registered party affiliations, donor lists, and voting past behaviors online at the household level. | -2147439972 |
| US Neustar - Demographics - Higher Education - Dual Income Professionals | 90 | This segment contains households with higher educations who describe themselves as Dual Income Professionals based on a national sample of students attending schools both on‐line and on campus and across all categories of school (i.e. For profit, Public, Private, etc.). Data from a third party vendor who provides information, tools and resources to help students further their education. Primary users are 16 to 30 year old. | -2147439839 |
| US Neustar - Demographics - Lifestage - Established High Income Adults | 90 | This segment contains households with High Income Adults making over $100,000 yearly. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439828 |
| US Neustar - Demographics - Lifestage - Established High Income Families | 90 | This segment contains households with Established High Income Adults making over $100,000 yearly. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439739 |
| US Neustar - Demographics - Lifestage - Established Low Income Adults | 90 | This segment contains households with Established Low Income Adults making between $20,000 - 30,000 yearly income. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439827 |
| US Neustar - Demographics - Lifestage - Established Low Income Families | 90 | This segment contains households with Established Low Income Families making between $20,000 - 30,000 yearly income. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439826 |
| US Neustar - Demographics - Lifestage - Established Lower Mid Income Adults | 90 | This segment contains households with Established Lower Mid Income Adults $30,000 - 50,000 yearly income. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439825 |
| US Neustar - Demographics - Lifestage - Established Lower Mid Income Families | 90 | This segment contains households with Established Lower Mid Income Families $30,000 - 50,000 yearly income. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439824 |
| US Neustar - Demographics - Lifestage - Established Upper Mid Income Adults | 90 | This segment contains households with Established Upper Mid Income Families $50,000 - 75,000 yearly income. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439738 |
| US Neustar - Demographics - Lifestage - High Income Adults | 90 | This segment contains households with High Income Adults making over $100,000 yearly. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439823 |
| US Neustar - Demographics - Lifestage - High Income Families | 90 | This segment contains households with High Income Families $100,000 yearly. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439737 |
| US Neustar - Demographics - Lifestage - Low Income Families | 90 | This segment contains households with High Income Adults making over $100,000 yearly. These audiences are created using a multitude of sources including census data, national demographic providers, financial data from the Federal Reserve, and aggregated credit data. | -2147439736 |
| US Neustar - Life Events - Important Life Events - Refinanced Home Last 12 Months | 90 | This segment contains households that are more likely to have refinanced their home in the last 12 months. These audiences are built through a set of nationally based surveys asking respondants about recent major life decisions/changes. | -2147439721 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Investment Leader - Above Average | 90 | This segment contains households that are more likely to be Above Average as a Investment Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439509 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Investment Leader - Average | 90 | This segment contains households that are more likely to be Average as a Investment Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439508 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Investment Leader - Below Average | 90 | This segment contains households that are more likely to be Below Average as a Investment Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439586 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Investment Leader - Far Above Average | 90 | This segment contains households that are more likely to be Far Above Average as a Investment Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439585 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Investment Leader - Far Below Average | 90 | This segment contains households that are more likely to be Far Below Average as a Investment Leader compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439507 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Smart Investor - Above Average | 90 | This segment contains households that are more likely to be Above Average as a Smart Investor compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439689 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Smart Investor - Average | 90 | This segment contains households that are more likely to be Average as a Smart Investor compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439688 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Smart Investor - Below Average | 90 | This segment contains households that are more likely to be Below Average as a Smart Investor compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439778 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Smart Investor - Far Above Average | 90 | This segment contains households that are more likely to be Far Above Average as a Smart Investor compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439687 |
| US Neustar - Lifestyle Statements - Personal Finance Profile - Smart Investor - Far Below Average | 90 | This segment contains households that are more likely to be Far Below Average as a Smart Investor compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439686 |
| US Neustar - Lifestyle Statements - Shopping - I Spend a Lot of Money on Toiletries / Cosmetics | 90 | This segment contains households that are more likely to have this opinion in Shopping: I Spend a Lot of Money on Toiletries/Cosmetics compared to the average household that was surveyed. Audiences spanning households who consider themselves to have this opinion are created using data sourced from multiple industry-leading surveys. | -2147439678 |
| US Neustar - Personal Finance - Charitable Contributions - HH Contributed to Art / Culture / Humanities Last 12 Months | 90 | This segment contains households that are more likely to make charitable contributions to Art/Culture/Humanities. This data is sourced from multiple sources, including Neustar's proprietary Financial/Telco annual survey. Additionally, the data is sourced from multiple surveys including the Federal Reserve Board's Survey of Consumer Finance. | -2147439505 |
| US Neustar - Personal Finance - Charitable Contributions - HH Contributed to Education Last 12 Months | 90 | This segment contains households that are more likely to make charitable contributions to Education. This data is sourced from multiple sources, including Neustar's proprietary Financial/Telco annual survey. Additionally, the data is sourced from multiple surveys including the Federal Reserve Board's Survey of Consumer Finance. | -2147439583 |
| US Neustar - Personal Finance - Charitable Contributions - HH Contributed to Environmental Last 12 Months | 90 | This segment contains households that are more likely to make charitable contributions to Environmental. This data is sourced from multiple sources, including Neustar's proprietary Financial/Telco annual survey. Additionally, the data is sourced from multiple surveys including the Federal Reserve Board's Survey of Consumer Finance. | -2147439504 |
| US Neustar - Personal Finance - Charitable Contributions - HH Contributed to Social Services / Welfare Last 12 Months | 90 | This segment contains households that are more likely to make charitable contributions to Social Services/Welfare. This data is sourced from multiple sources, including Neustar's proprietary Financial/Telco annual survey. Additionally, the data is sourced from multiple surveys including the Federal Reserve Board's Survey of Consumer Finance. | -2147439503 |
| US Neustar - Personal Finance - Charitable Contributions - HH Made Charitable Contributions - Last 12 Months | 90 | This segment contains households that are more likely to make charitable contributions. This data is sourced from multiple sources, including Neustar's proprietary Financial/Telco annual survey. Additionally, the data is sourced from multiple surveys including the Federal Reserve Board's Survey of Consumer Finance. | -2147439502 |
| US OmniDIGITAL by MeritDirect - Business Industry - Finance | 90 | This segment targets Finance by the Specific Qualified Business Industry. | usmd.bizind.fin |
| US OmniDIGITAL by MeritDirect - Job Function - Finance | 90 | This segment targets Finance by the Specific Qualified Job Function. | usmd.jobf.fin |
| US OmniDIGITAL by MeritDirect - Products or Services Used - Finance / Performance Management | 90 | This segment targets Finance / Performance Management by the Specific Qualified grouped Products or Services Used. | usmd.pdsv.finance |
| US OmniDIGITAL by MeritDirect - SIC2 Code - Public Finance Tax and Monetary Policy (93) | 90 | This segment targets Public Finance Tax and Monetary Policy (93) by Two Digit SIC Code | usmd.sic2.public |
| US OmniDIGITAL by MeritDirect - Title Specific - Vice President of Finance / Senior / Assistant | 90 | This segment targets Vice President of Finance/ Senior / Assistant by the Specific Qualified Job Title. | usmd.tspc.vicepfin |
| US Pacific Data Partners - B2B - Employment - Occupations - Finance - Accountant | 90 | People who are employed in finance and work as an accountant | -2147471846 |
| US Pacific Data Partners - B2B - Functional Area - Finance | 90 | People whose functional area of responsibility is in finance | -2147472318 |
| US Pacific Data Partners - B2B - Functional Area - Finance - Accounting | 90 | People whose functional area of responsibility is in finance | -2147472115 |
| US Pacific Data Partners - B2B - Functional Area - Finance - Banking | 90 | People whose functional area of responsibility is in finance | -2147472185 |
| US Pacific Data Partners - B2B - Functional Area - Finance - Investment Banking | 90 | People whose functional area of responsibility is in finance | -2147472114 |
| US Pacific Data Partners - B2B - Functional Area - Finance - Wealth Management | 90 | People whose functional area of responsibility is in finance | -2147472113 |
| US Pacific Data Partners - B2B - Industry - Finance | 90 | Professionals working in finance | -2147472377 |
| US Pacific Data Partners - B2B - Industry - Finance - Investment Banking | 90 | Professionals working in investment banking | -2147472178 |
| US Pacific Data Partners - B2B - Professional Groups - Finance Professional | 90 | People who belong to professional groups relating to finance professionals | -2147472297 |
| US Pacific Data Partners - B2B - Professional Licenses - Finance | 60 | Filter by professional licenses in finance | -2147463112 |
| US Pacific Data Partners - B2B - Professional Licenses - Finance - Certified Public Accountant (CPA) | 60 | People who likely have a professional license as a certified public accountant (CPA) | -2147463105 |
| US Pacific Data Partners - B2B - Professional Licenses - Finance - Tax Preparer | 60 | People who likely have a professional license as a tax preparer | -2147463157 |
| US Pacific Data Partners - Demographic - Annual Income - $100,000 Plus | 90 | People whose annual income is above $100,000 | -2147472335 |
| US Pacific Data Partners - Demographic - Annual Income - $15,000-$19,999 | 90 | People whose annual income is between $15,000 - $19,999 | -2147472334 |
| US Pacific Data Partners - Demographic - Annual Income - $20,000-$29,999 | 90 | People whose annual income is between $20,000 - $29,999 | -2147472332 |
| US Pacific Data Partners - Demographic - Annual Income - $30,000-$39,999 | 90 | People whose annual income is between $30,000 - $39,999 | -2147472393 |
| US Pacific Data Partners - Demographic - Annual Income - $40,000-$49,999 | 90 | People whose annual income is between $40,000 - $49,999 | -2147472392 |
| US Pacific Data Partners - Demographic - Annual Income - $50,000-$59,999 | 90 | People whose annual income is between $50,000 - $59,999 | -2147472329 |
| US Pacific Data Partners - Demographic - Annual Income - $60,000-$74,999 | 90 | People whose annual income is between $60,000 - $69,999 | -2147472390 |
| US Pacific Data Partners - Demographic - Annual Income - $75,000-$99,999 | 90 | People whose annual income is between $75,000 - $99,999 | -2147472389 |
| US Plunge Digital - B2B - SIC Groupings - Finance / Insurance / Real Estate | 90 | Targetable profiles of individuals at a company with a SIC group within Finance, Insurance, Real Estate. | -2147462978 |
| US Plunge Digital - B2B - Title Function - Finance | 90 | Targetable profiles of individuals with a finance title function at a company. | -2147462973 |
| US Plunge Digital - Interest - Lifestyle and Other Interests - Finance and Investments | 90 | Targetable profiles of individuals with an interest in finance and investments. | -2147462877 |
| US Plunge Digital - Sociodemographic - Household Income - $100,000 - $149,999 | 90 | Targetable profiles of individuals with an estimated household income between $100,000 and $149,999. | -2147462768 |
| US Plunge Digital - Sociodemographic - Household Income - $15,000 - $24,999 | 90 | Targetable profiles of individuals with an estimated household income between $15,000 and $24,999. | -2147462718 |
| US Plunge Digital - Sociodemographic - Household Income - $150,000 - $174,999 | 90 | Targetable profiles of individuals with an estimated household income between $150,000 and $174,999. | -2147462767 |
| US Plunge Digital - Sociodemographic - Household Income - $175,000 - $199,999 | 90 | Targetable profiles of individuals with an estimated household income between $175,000 and $199,999. | -2147462766 |
| US Plunge Digital - Sociodemographic - Household Income - $200,000 - $249,999 | 90 | Targetable profiles of individuals with an estimated household income between $200,000 and $249,999. | -2147462717 |
| US Plunge Digital - Sociodemographic - Household Income - $25,000 - $34,999 | 90 | Targetable profiles of individuals with an estimated household income between $25,000 and $34,999. | -2147462765 |
| US Plunge Digital - Sociodemographic - Household Income - $250,000+ | 90 | Targetable profiles of individuals with an estimated household income $250,000 or higher. | -2147462716 |
| US Plunge Digital - Sociodemographic - Household Income - $35,000 - $49,999 | 90 | Targetable profiles of individuals with an estimated household income between $35,000 and $49,999. | -2147462764 |
| US Plunge Digital - Sociodemographic - Household Income - $50,000 - $74,999 | 90 | Targetable profiles of individuals with an estimated household income between $50,000 and $74,999. | -2147462715 |
| US Plunge Digital - Sociodemographic - Household Income - $75,000 - $99,999 | 90 | Targetable profiles of individuals with an estimated household income between $75,000 and $99,999. | -2147462763 |
| US Plunge Digital - Sociodemographic - Household Income - Less Than $15,000 | 90 | Targetable profiles of individuals with an estimated household income of less than $15,000. | -2147462762 |
| US SMS-INC - Demo - Declared Household Income - $10,000-$14,999 | 60 | Household Income is $10,000 - $14,999 | ussms.demo.hhi.10k |
| US SMS-INC - Demo - Declared Household Income - $100,000-$149,999 | 60 | Household Income is $100,000 - $149,999 | ussms.demo.hhi.100k |
| US SMS-INC - Demo - Declared Household Income - $15,000-$19,999 | 60 | Household Income is $15,000 - $19,999 | ussms.demo.hhi.15k |
| US SMS-INC - Demo - Declared Household Income - $150,000-$174,999 | 60 | Household Income is $150,000 - $174,999 | ussms.demo.hhi.150k |
| US SMS-INC - Demo - Declared Household Income - $175,000-$199,999 | 60 | Household Income is $175,000 - $199,999 | ussms.demo.hhi.175k |
| US SMS-INC - Demo - Declared Household Income - $20,000-$24,999 | 60 | Household Income is $20,000 - $24,999 | ussms.demo.hhi.20k |
| US SMS-INC - Demo - Declared Household Income - $200,000-$249,999 | 60 | Household Income is $200,000 - $249,999 | ussms.demo.hhi.200k |
| US SMS-INC - Demo - Declared Household Income - $25,000-$29,999 | 60 | Household Income is $25,000 - $29,999 | ussms.demo.hhi.25k |
| US SMS-INC - Demo - Declared Household Income - $250,000 Plus | 60 | Household Income is $250,000 + | ussms.demo.hhi.250k |
| US SMS-INC - Demo - Declared Household Income - $30,000-$34,999 | 60 | Household Income is $30,000 - $34,999 | ussms.demo.hhi.30k |
| US SMS-INC - Demo - Declared Household Income - $35,000-$39,999 | 60 | Household Income is $35,000 - $39,999 | ussms.demo.hhi.35k |
| US SMS-INC - Demo - Declared Household Income - $40,000-$44,999 | 60 | Household Income is $40,000 - $44,999 | ussms.demo.hhi.40k |
| US SMS-INC - Demo - Declared Household Income - $45,000-$49,999 | 60 | Household Income is $45,000 - $49,999 | ussms.demo.hhi.45k |
| US SMS-INC - Demo - Declared Household Income - $50,000-$54,999 | 60 | Household Income is $50,000 - $54,999 | ussms.demo.hhi.50k |
| US SMS-INC - Demo - Declared Household Income - $55,000-$59,999 | 60 | Household Income is $55,000 - $59,999 | ussms.demo.hhi.55k |
| US SMS-INC - Demo - Declared Household Income - $60,000-$64,999 | 60 | Household Income is $60,000 - $64,999 | ussms.demo.hhi.60k |
| US SMS-INC - Demo - Declared Household Income - $65,000-$74,999 | 60 | Household Income is $65,000 - $74,999 | ussms.demo.hhi.65k |
| US SMS-INC - Demo - Declared Household Income - $75,000-$99,999 | 60 | Household Income is $75,000 - $99,999 | ussms.demo.hhi.75k |
| US SMS-INC - Demo - Declared Household Income - Under $10,000 | 60 | Household Income is Under $10,000 | ussms.demo.hhi.below10k |
| US SMS-INC - Occupation - White Collar Worker - Finance | 60 | Current Occupation - White Collar Worker - Finance | ussms.occ.wcw.finan |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Ally Bank | 60 | Intent to Bank - Ally Bank | -2147429466 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Bank Of America | 60 | Intent to Bank - Bank Of America | -2147429465 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Bank of the West | 60 | Intent to Bank - Bank of the West | -2147429464 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Capital One | 60 | Intent to Bank - Capital One | -2147429368 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - CHASE Bank | 60 | Intent to Bank - CHASE Bank | -2147429367 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Citi Group | 60 | Intent to Bank - Citi Group | -2147429366 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Citibank | 60 | Intent to Bank - Citibank | -2147429463 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Citizens Bank | 60 | Intent to Bank - Citizens Bank | -2147429462 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Fifth Third Bank | 60 | Intent to Bank - Fifth Third Bank | -2147429365 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - HandR Block | 60 | Intent to Bank - H&R Block | -2147429461 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - ING Group | 60 | Intent to Bank - ING Group | -2147429364 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - J.P. Morgan | 60 | Intent to Bank - J.P. Morgan | -2147429460 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Merrill Lynch | 60 | Intent to Bank - Merrill Lynch | -2147429459 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - PNC Bank | 60 | Intent to Bank - PNC Bank | -2147429458 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Regions Bank | 60 | Intent to Bank - Regions Bank | -2147429363 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Santander Bank | 60 | Intent to Bank - Santander Bank | -2147429362 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - U.S. Bank | 60 | Intent to Bank - U.S. Bank | -2147429457 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - USAA | 60 | Intent to Bank - USAA | -2147429456 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Voya Financial | 60 | Intent to Bank - Voya Financial | -2147429361 |
| US SMS-INC - Personal Finance - Brand Intent - Banking - Wells Fargo | 60 | Intent to Bank - Wells Fargo | -2147429360 |
| US SMS-INC - Personal Finance - Brand Intent - Consumer Credit - American Express | 60 | Intent to Apply - Credit American Express | -2147429449 |
| US SMS-INC - Personal Finance - Brand Intent - Consumer Credit - Discover | 60 | Intent to Apply - Credit Discover | -2147429448 |
| US SMS-INC - Personal Finance - Brand Intent - Consumer Credit - MasterCard | 60 | Intent to Apply - Credit MasterCard | -2147429447 |
| US SMS-INC - Personal Finance - Brand Intent - Consumer Credit - Visa | 60 | Intent to Apply - Credit Visa | -2147429446 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - Charles Schwab | 60 | Intent to Invest - Charles Schwab | -2147429359 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - Edward Jones | 60 | Intent to Invest - Edward Jones | -2147429454 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - Goldman Sachs | 60 | Intent to Invest - Goldman Sachs | -2147429453 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - John Hancock | 60 | Intent to Invest - John Hancock | -2147429452 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - LendingClub | 60 | Intent to Invest - LendingClub | -2147429358 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - Principal Financial Group | 60 | Intent to Invest - Principal Financial Group | -2147429451 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - Scottrade | 60 | Intent to Invest - Scottrade | -2147429450 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - T. Rowe Price | 60 | Intent to Invest - T. Rowe Price | -2147429357 |
| US SMS-INC - Personal Finance - Brand Intent - Investing - Vanguard Funds | 60 | Intent to Invest - Vanguard Funds | -2147429356 |
| US SMS-INC - Personal Finance - College Loan Delinquent | 60 | Default on College Loan | ussms.pf.cld |
| US SMS-INC - Personal Finance - Credit Card Holder | 60 | Has a credit card | ussms.pf.cch |
| US SMS-INC - Personal Finance - Credit Card Holder - Amex | 60 | American Express Credit Card Holder | ussms.pf.cch.amex |
| US SMS-INC - Personal Finance - Credit Card Holder - Bankcard | 60 | Bankcard Credit Card Holder | ussms.pf.cch.bank |
| US SMS-INC - Personal Finance - Credit Card Holder - Discover Card | 60 | Discover Credit Card Holder | ussms.pf.cch.discard |
| US SMS-INC - Personal Finance - Credit Card Holder - Gas / Retail / Store Card | 60 | Gas / Retail / Store Card Holder | ussms.pf.cch.gascard |
| US SMS-INC - Personal Finance - Credit Card Holder - Gas Card | 60 | Gas Card Holder | ussms.pf.cch.gas |
| US SMS-INC - Personal Finance - Credit Card Holder - Mastercard | 60 | Mastercard Holder | ussms.pf.cch.master |
| US SMS-INC - Personal Finance - Credit Card Holder - Premium | 60 | Premium Credit Card Holder | ussms.pf.cch.prem |
| US SMS-INC - Personal Finance - Credit Card Holder - Visa | 60 | Visa Credit Card Holder | ussms.pf.cch.visa |
| US SMS-INC - Personal Finance - Debt Consolidation Interest | 60 | Interested in consolidating debt | ussms.pf.dci |
| US SMS-INC - Personal Finance - Financial Status - Pay Day Loans | 60 | Has a pay day loan | ussms.pf.finstat.pdl |
| US SMS-INC - Personal Finance - Financial Status - Upscale Credit Card | 60 | Upscale Credit Card Holder | ussms.pf.finstat.ucc |
| US SMS-INC - Personal Finance - Has Life Insurance | 60 | Has Life Insurance Policy | ussms.pf.hli |
| US SMS-INC - Personal Finance - Number of Credit Lines - 1 | 60 | Lines of credit: 1 | ussms.pf.cl.1 |
| US SMS-INC - Personal Finance - Number of Credit Lines - 2-3 | 60 | Lines of credit: 2-3 | ussms.pf.cl.2 |
| US SMS-INC - Personal Finance - Number of Credit Lines - 4-5 | 60 | Lines of credit: 4-5 | ussms.pf.cl.4 |
| US SMS-INC - Personal Finance - Number of Credit Lines - 5 Plus | 60 | Lines of credit: 5+ | ussms.pf.cl.5 |
| US SMS-INC - Shopping - Mail Order Responder - Investing and Finance | 60 | Interest identified through self-reported surveys: Investing and Finance | ussms.shop.mor.infin |
| US SMS-INC - Shopping - Mail Order Responder - Investing and Finance - Foreign | 60 | Interest identified through self-reported surveys: Foreign Investing and Finance | ussms.shop.mor.infin.for |
| US SMS-INC - Shopping - Mail Order Responder - Investing and Finance - Personal | 60 | Interest identified through self-reported surveys: Personal Investing and Finance | ussms.shop.mor.infin.per |
| US SMS-INC - Shopping - Mail Order Responder - Investing and Finance - Real Estate | 60 | Interest identified through self-reported surveys: Real Estate Investing and Finance | ussms.shop.mor.infin.re |
| US SMS-INC - Shopping - Mail Order Responder - Investing and Finance - Stocks and Bonds | 60 | Interest identified through self-reported surveys: Stock and Bonds Investing and Finance | ussms.shop.mor.infin.stock |
| US SMS-INC - Shopping - Mail Order Responder - Money Seekers | 60 | Interest identified through self-reported surveys: Money Seekers | ussms.shop.mor.monseek |
| US Stirista - B2C - Social - Young Professionals - High Income | 90 | Targetable Profiles of Individuals part of the Young Professionals (Age 18-30 with a white-collar profession) - Grouping with income greater that $100K. | -2147464969 |
| US Stirista - B2C - Social - Young Professionals - Low Income | 90 | Targetable Profiles of Individuals part of the Young Professionals (Age 18-30 with a white-collar profession) - Low Income grouping. | -2147464968 |
| US Stirista - B2C - Social - Young Professionals - Middle Income | 90 | Targetable Profiles of Individuals part of the Young Professionals (Age 18-30 with a white-collar profession) - Grouping with income between $50-$100K. | -2147464931 |
| US YouGov - Brand Use and Perception - Finance - Consumer Banks - Current Customer - Bank Of America | 90 | Users that are likely to be a current customer of Bank Of America | -2147469707 |
| US YouGov - Brand Use and Perception - Finance - Consumer Banks - Current Customer - Capital One Bank | 90 | Users that are likely to be a current customer of Capital One Bank | -2147469706 |
| US YouGov - Brand Use and Perception - Finance - Consumer Banks - Current Customer - Chase | 90 | Users that are likely to be a current customer of Chase | -2147469705 |
| US YouGov - Brand Use and Perception - Finance - Consumer Banks - Current Customer - Citibank | 90 | Users that are likely to be a current customer of Citibank | -2147469639 |
| US YouGov - Brand Use and Perception - Finance - Consumer Banks - Current Customer - Wells Fargo | 90 | Users that are likely to be a current customer of Wells Fargo | -2147469638 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - American Express | 90 | Users that are likely to be a current customer of American Express | -2147469367 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Capital One | 90 | Users that are likely to be a current customer of Capital One | -2147469333 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Credit Karma | 90 | Users that are likely to be a current customer of Credit Karma | -2147469332 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Discover | 90 | Users that are likely to be a current customer of Discover | -2147469366 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Fidelity | 90 | Users that are likely to be a current customer of Fidelity | -2147469365 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Mastercard | 90 | Users that are likely to be a current customer of Mastercard | -2147469364 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Paypal | 90 | Users that are likely to be a current customer of Paypal | -2147469331 |
| US YouGov - Brand Use and Perception - Finance - Financial Services - Investment Advice and Management - Current Customer - Visa | 90 | Users that are likely to be a current customer of Visa | -2147469363 |
| US YouGov - Brand Use and Perception - Finance - Insurance - Current Customer - Allstate | 90 | Users that are likely to be a current customer of Allstate | -2147469636 |
| US YouGov - Brand Use and Perception - Finance - Insurance - Current Customer - Blue Cross / Blue Shield | 90 | Users that are likely to be a current customer of Blue Cross / Blue Shield | -2147469697 |
| US YouGov - Brand Use and Perception - Finance - Insurance - Current Customer - Geico | 90 | Users that are likely to be a current customer of Geico | -2147469696 |
| US YouGov - Brand Use and Perception - Finance - Insurance - Current Customer - State Farm | 90 | Users that are likely to be a current customer of State Farm | -2147469695 |
| US YouGov - Brand Use and Perception - Finance - Insurance - Current Customer - Unitedhealthcare | 90 | Users that are likely to be a current customer of Unitedhealthcare | -2147469693 |
| US YouGov - Demographics - Household Economics - Family Income - $10,000 - $19,999 | 90 | Users that are likely to have a family income of $10,000 - $19,999 | -2147470334 |
| US YouGov - Demographics - Household Economics - Family Income - $100,000 - $119,999 | 90 | Users that are likely to have a family income of $100,000 - $119,999 | -2147470377 |
| US YouGov - Demographics - Household Economics - Family Income - $120,000 - $149,999 | 90 | Users that are likely to have a family income of $120,000 - $149,999 | -2147470376 |
| US YouGov - Demographics - Household Economics - Family Income - $150,000 - $199,999 | 90 | Users that are likely to have a family income of $150,000 - $199,999 | -2147470333 |
| US YouGov - Demographics - Household Economics - Family Income - $20,000 - $29,999 | 90 | Users that are likely to have a family income of $20,000 - $29,999 | -2147470332 |
| US YouGov - Demographics - Household Economics - Family Income - $30,000 - $39,999 | 90 | Users that are likely to have a family income of $30,000 - $39,999 | -2147470375 |
| US YouGov - Demographics - Household Economics - Family Income - $40,000 - $49,999 | 90 | Users that are likely to have a family income of $40,000 - $49,999 | -2147470331 |
| US YouGov - Demographics - Household Economics - Family Income - $50,000 - $59,999 | 90 | Users that are likely to have a family income of $50,000 - $59,999 | -2147470330 |
| US YouGov - Demographics - Household Economics - Family Income - $60,000 - $69,999 | 90 | Users that are likely to have a family income of $60,000 - $69,999 | -2147470374 |
| US YouGov - Demographics - Household Economics - Family Income - $70,000 - $79,999 | 90 | Users that are likely to have a family income of $70,000 - $79,999 | -2147470329 |
| US YouGov - Demographics - Household Economics - Family Income - $80,000 - $99,999 | 90 | Users that are likely to have a family income of $80,000 - $99,999 | -2147470328 |
| US YouGov - Demographics - Household Economics - Family Income - Less Than $10,000 | 90 | Users that are likely to have a family income of Less Than $10,000 | -2147470327 |
| US YouGov - General Interest - Money and Investing | 90 | Users that are interested in Money and Investing | -2147470419 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC CH | 15 | VN Users in rural locations ranked A for income level ABC (CH) | -2147442833 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC MD | 15 | VN Users in rural locations ranked A for income level ABC (MD) | -2147442742 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC NCC | 15 | VN Users in rural locations ranked A for income level ABC (NCC) | -2147442832 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC NE | 15 | VN Users in rural locations ranked A for income level ABC (NE) | -2147442831 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC NW | 15 | VN Users in rural locations ranked A for income level ABC (NW) | -2147442830 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC RRD | 15 | VN Users in rural locations ranked A for income level ABC (RRD) | -2147442741 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC SCC | 15 | VN Users in rural locations ranked A for income level ABC (SCC) | -2147442740 |
| VN AimMatic - Sociodemographic - Income Level - A Rural ABC SE | 15 | VN Users in rural locations ranked A for income level ABC (SE) | -2147442739 |
| VN AimMatic - Sociodemographic - Income Level - A Rural DE NCC | 15 | VN Users in rural locations ranked A for income level DE (NCC) | -2147442829 |
| VN AimMatic - Sociodemographic - Income Level - A Rural DE RRD | 15 | VN Users in rural locations ranked A for income level DE (RRD) | -2147442738 |
| VN AimMatic - Sociodemographic - Income Level - A Rural DE SCC | 15 | VN Users in rural locations ranked A for income level DE (SCC) | -2147442737 |
| VN AimMatic - Sociodemographic - Income Level - A Rural DE SE | 15 | VN Users in rural locations ranked A for income level DE (SE) | -2147442736 |
| VN AimMatic - Sociodemographic - Income Level - A Urban ABC CH | 15 | VN Users in urban locations ranked A for income level ABC (CH) | -2147442735 |
| VN AimMatic - Sociodemographic - Income Level - A Urban ABC MD | 15 | VN Users in urban locations ranked A for income level ABC (MD) | -2147442734 |
| VN AimMatic - Sociodemographic - Income Level - A Urban ABC NCC | 15 | VN Users in urban locations ranked A for income level ABC (NCC) | -2147442733 |
| VN AimMatic - Sociodemographic - Income Level - A Urban ABC NE | 15 | VN Users in urban locations ranked A for income level ABC (NE) | -2147442828 |
| VN AimMatic - Sociodemographic - Income Level - A Urban DE NCC | 15 | VN Users in urban locations ranked A for income level DE (NCC) | -2147442732 |
| VN AimMatic - Sociodemographic - Income Level - A Urban DE RRD | 15 | VN Users in urban locations ranked A for income level DE (RRD) | -2147442827 |
| VN AimMatic - Sociodemographic - Income Level - A Urban DE SCC | 15 | VN Users in urban locations ranked A for income level DE (SCC) | -2147442826 |
| VN AimMatic - Sociodemographic - Income Level - A Urban DE SE | 15 | VN Users in urban locations ranked A for income level DE (SE) | -2147442825 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC CH | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (CH) | -2147442731 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC MD | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (MD) | -2147442824 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC NCC | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (NCC) | -2147442730 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC NE | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (NE) | -2147442823 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC NW | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (NW) | -2147442729 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC RRD | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (RRD) | -2147442728 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC SCC | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (SCC) | -2147442822 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural ABC SE | 15 | VN Users in rural locations ranked AA second-highest for income level ABC (SE) | -2147442727 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE CH | 15 | VN Users in rural locations ranked AA second-highest for income level DE (CH) | -2147442726 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE MD | 15 | VN Users in rural locations ranked AA second-highest for income level DE (MD) | -2147442725 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE NCC | 15 | VN Users in rural locations ranked AA second-highest for income level DE (NCC) | -2147442724 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE NE | 15 | VN Users in rural locations ranked AA second-highest for income level DE (NE) | -2147442821 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE NW | 15 | VN Users in rural locations ranked AA second-highest for income level DE (NW) | -2147442723 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE RRD | 15 | VN Users in rural locations ranked AA second-highest for income level DE (RRD) | -2147442820 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE SCC | 15 | VN Users in rural locations ranked AA second-highest for income level DE (SCC) | -2147442800 |
| VN AimMatic - Sociodemographic - Income Level - AA Rural DE SE | 15 | VN Users in rural locations ranked AA second-highest for income level DE (SE) | -2147442819 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban ABC CH | 15 | VN Users in urban locations ranked AA second-highest for income level ABC (CH) | -2147442818 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban ABC MD | 15 | VN Users in urban locations ranked AA second-highest for income level ABC (MD) | -2147442817 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban ABC RRD | 15 | VN Users in urban locations ranked AA second-highest for income level ABC (RRD) | -2147442722 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban ABC SCC | 15 | VN Users in urban locations ranked AA second-highest for income level ABC (SCC) | -2147442721 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban ABC SE | 15 | VN Users in urban locations ranked AA second-highest for income level ABC (SE) | -2147442816 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban DE CH | 15 | VN Users in urban locations ranked AA second-highest for income level DE (CH) | -2147442720 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban DE MD | 15 | VN Users in urban locations ranked AA second-highest for income level DE (MD) | -2147442719 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban DE RRD | 15 | VN Users in urban locations ranked AA second-highest for income level DE (RRD) | -2147442704 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban DE SCC | 15 | VN Users in urban locations ranked AA second-highest for income level DE (SCC) | -2147442718 |
| VN AimMatic - Sociodemographic - Income Level - AA Urban DE SE | 15 | VN Users in urban locations ranked AA second-highest for income level DE (SE) | -2147442717 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural ABC NCC | 15 | VN Users in rural locations ranked AAA highest for income level ABC (NCC) | -2147442716 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural ABC RRD | 15 | VN Users in rural locations ranked AAA highest for income level ABC (RRD) | -2147442814 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural ABC SCC | 15 | VN Users in rural locations ranked AAA highest for income level ABC (SCC) | -2147442715 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural ABC SE | 15 | VN Users in rural locations ranked AAA highest for income level ABC (SE) | -2147442714 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE CH | 15 | VN Users in rural locations ranked AA second-highest for income level DE (CH) | -2147442813 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE MD | 15 | VN Users in rural locations ranked AA second-highest for income level DE (MD) | -2147442812 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE NCC | 15 | VN Users in rural locations ranked AA second-highest for income level DE (NCC) | -2147442811 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE NE | 15 | VN Users in rural locations ranked AA second-highest for income level DE (NE) | -2147442713 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE NW | 15 | VN Users in rural locations ranked AA second-highest for income level DE (NW) | -2147442810 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE RRD | 15 | VN Users in rural locations ranked AA second-highest for income level DE (RRD) | -2147442712 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE SCC | 15 | VN Users in rural locations ranked AA second-highest for income level DE (SCC) | -2147442809 |
| VN AimMatic - Sociodemographic - Income Level - AAA Rural DE SE | 15 | VN Users in rural locations ranked AA second-highest for income level DE (SE) | -2147442711 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban ABC NCC | 15 | VN Users in urban locations ranked AAA highest for income level ABC (NCC) | -2147442710 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban ABC RRD | 15 | VN Users in urban locations ranked AAA highest for income level ABC (RRD) | -2147442808 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban ABC SCC | 15 | VN Users in urban locations ranked AAA highest for income level ABC (SCC) | -2147442807 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban ABC SE | 15 | VN Users in urban locations ranked AAA highest for income level ABC (SE) | -2147442806 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban DE CH | 15 | VN Users in urban locations ranked AAA highest for income level DE (CH) | -2147442805 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban DE MD | 15 | VN Users in urban locations ranked AAA highest for income level DE (MD) | -2147442804 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban DE NCC | 15 | VN Users in urban locations ranked AAA highest for income level DE (NCC) | -2147442803 |
| VN AimMatic - Sociodemographic - Income Level - AAA Urban DE NE | 15 | VN Users in urban locations ranked AAA highest for income level DE (NE) | -2147442802 |
| Segment Name | Segment Key | Segment Description |
|---|---|---|
| US Alliant - Political - Voter Registration - Affluent Democrat Seniors | -2147358954 | Registered Democrat voters who are affluent Seniors and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Early Boomer Democrats | -2147358953 | Registered Democrat voters who are affluent early Boomer and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Early Boomer Independents | -2147358952 | Independent voters who are affluent early Boomer and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Early Boomer Republicans | -2147358951 | Registered Republican voters who are affluent early Boomer and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent GenX Democrats | -2147358950 | Registered Democrat voters who are affluent GenX and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent GenX Independents | -2147358949 | Independent voters who are affluent GenX and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent GenX Republicans | -2147358948 | Registered Republican voters who are affluent GenX and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Independent Seniors | -2147358947 | Independent voters who are affluent Seniors and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Late Boomer Democrats | -2147358946 | Registered Democrat voters who are affluent late Boomer and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Late Boomer Independents | -2147358945 | Independent voters who are affluent late Boomer and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Late Boomer Republicans | -2147358944 | Registered Republican voters who are affluent late Boomer and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Millennial Democrats | -2147358943 | Registered Democrat voters who are affluent Millennials and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Millennial Independents | -2147358942 | Independent voters who are affluent Millienials and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Millennial Republicans | -2147358941 | Registered Republican voters who are affluent Millienials and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Affluent Republican Seniors | -2147358940 | Registered Republican voters who are affluent Seniors and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Democrat General Election Voters | -2147358939 | Registered Democrat voters who participate in general elections and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Democrat Party Absentee Voters | -2147358938 | Democrat Absentee voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Democrat Party Early Voters | -2147358937 | Registered Democrat voters who vote early and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Democrat Party Loyalists | -2147358936 | Registered Republican voters who are Loyal to their party and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Democrat Primary Voters | -2147358935 | Registered Democrat voters who participate in primaries and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Environmental Donors - Democrat Voters | -2147358933 | Environmental Donors that are registered Democrat voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Environmental Donors - Independent Voters | -2147358932 | Environmental Donors that are registered Independent voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Environmental Donors - Republican Voters | -2147358931 | Environmental Donors that are registered Republican voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - General Election Only Voters | -2147358930 | Voters who participate in general elections only and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Hispanic Democrat | -2147358929 | Registered Democrat voters who are Hispanic and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Hispanic Independent | -2147358928 | Independent voters who are Hispanic and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Hispanic Republican | -2147358927 | Registered Republican voters who are Hispanic and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Independent General Election Voters | -2147358926 | Registered Independent voters who participate in general elections and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Independent Party Absentee Voters | -2147358925 | Independent Absentee voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Independent Party Early Voters | -2147358923 | Independent voters who vote early and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Independent Voters - Loyalists | -2147358921 | Independent voters who vote early and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Left Leaning Independents | -2147358920 | Independent voters who are left leaning and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Left Leaning Republicans | -2147358919 | Registered Republican voters who are left leaning and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Political Donors - Democrat Voters | -2147358917 | Political Donors that are registered Democrat voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Political Donors - Independent Voters | -2147358916 | Political Donors that are Independent voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Political Donors - Republican Voters | -2147358915 | Political Donors that are registered Republican voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Primary Election Voters | -2147358914 | Voters who participate in primaries and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Republican General Election Voters | -2147358913 | Registered Republican voters who participate in general elections and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Republican Party Absentee Voters | -2147358912 | Republican Absentee voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Republican Party Early Voters | -2147358911 | Registered Republican voters who vote early and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Republican Party Loyalists | -2147358910 | Registered Democrat voters who are Loyal to their party and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Republican Primary Voters | -2147358909 | Registered Republican voters who participate in primaries and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Right Leaning Democrats | -2147358908 | Registered Democrat voters who are right leaning and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Right Leaning Independents | -2147358907 | Independent voters who are right leaning and are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Veteran Donors - Independent Voters | -2147358905 | Veteran Donors that are registered Independent voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Veterans Donors - Democrat Voters | -2147358903 | Veteran Donors that are registered Democrat voters who are also active multichannel buyers. |
| US Alliant - Political - Voter Registration - Veterans Donors - Republican Voters | -2147358902 | Veteran Donors that are registered Republican voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Democrat Seniors | -2147358883 | Registered Democrat voters who are affluent Seniors and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Early Boomer Democrats | -2147358882 | Registered Democrat voters who are affluent early Boomer and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Early Boomer Independents | -2147358881 | Independent voters who are affluent early Boomer and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Early Boomer Republicans | -2147358880 | Registered Republican voters who are affluent early Boomer and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent GenX Democrats | -2147358879 | Registered Democrat voters who are affluent GenX and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent GenX Independents | -2147358878 | Independent voters who are affluent GenX and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent GenX Republicans | -2147358877 | Registered Republican voters who are affluent GenX and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Independent Seniors | -2147358876 | Independent voters who are affluent Seniors and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Late Boomer Democrats | -2147358875 | Registered Democrat voters who are affluent late Boomer and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Late Boomer Independents | -2147358874 | Independent voters who are affluent late Boomer and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Late Boomer Republicans | -2147358873 | Registered Republican voters who are affluent late Boomer and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Millennial Democrats | -2147358872 | Registered Democrat voters who are affluent Millienials and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Millennial Independents | -2147358871 | Independent voters who are affluent Millienials and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Millennial Republicans | -2147358870 | Registered Republican voters who are affluent Millienials and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Affluent Republican Seniors | -2147358869 | Registered Republican voters who are affluent Seniors and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Democrat General Election Voters | -2147358868 | Registered Democrat voters who participate in general elections and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Democrat Party Absentee Voters | -2147358867 | Democrat Absentee voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Democrat Party Early Voters | -2147358866 | Registered Democrat voters who vote early and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Democrat Party Loyalists | -2147358865 | Registered Republican voters who are Loyal to their party and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Democrat Primary Voters | -2147358864 | Registered Democrat voters who participate in primaries and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Environmental Donors - Democrat Voters | -2147358862 | Environmental Donors that are registered Democrat voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Environmental Donors - Independent Voters | -2147358861 | Environmental Donors that are registered Independent voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Environmental Donors - Republican Voters | -2147358860 | Environmental Donors that are registered Republican voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium General Election Only Voters | -2147358859 | Voters who participate in general elections only and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Hispanic Democrat | -2147358858 | Registered Democrat voters who are Hispanic and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Hispanic Independent | -2147358857 | Independent voters who are Hispanic and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Hispanic Republican | -2147358856 | Registered Republican voters who are Hispanic and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Independent General Election Voters | -2147358855 | Registered Independent voters who participate in general elections and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Independent Party Absentee Voters | -2147358854 | Independent Absentee voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Independent Party Affiliation | -2147358853 | Independent voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Independent Party Early Voters | -2147358852 | Independent voters who vote early and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Independent Voters - Loyalists | -2147358850 | Independent voters who vote early and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Left Leaning Independents | -2147358849 | Independent voters who are left leaning and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Left Leaning Republicans | -2147358848 | Registered Republican voters who are left leaning and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Political Donors - Democrat Voters | -2147358846 | Political Donors that are registered Democrat voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Political Donors - Independent Voters | -2147358845 | Political Donors that are Independent voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Political Donors - Republican Voters | -2147358844 | Political Donors that are registered Republican voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Primary Election Voters | -2147358843 | Voters who participate in primaries and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Republican General Election Voters | -2147358842 | Registered Republican voters who participate in general elections and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Republican Party Absentee Voters | -2147358841 | Republican Absentee voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Republican Party Early Voters | -2147358840 | Registered Republican voters who vote early and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Republican Party Loyalists | -2147358839 | Registered Democrat voters who are Loyal to their party and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Republican Primary Voters | -2147358838 | Registered Republican voters who participate in primaries and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Right Leaning Democrats | -2147358837 | Registered Democrat voters who are right leaning and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Right Leaning Independents | -2147358836 | Independent voters who are right leaning and are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Veteran Donors - Independent Voters | -2147358834 | Veteran Donors that are registered Independent voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Veterans Donors - Democrat Voters | -2147358832 | Veteran Donors that are registered Democrat voters who are also active multichannel buyers. |
| US Alliant - Premium Political - Voter Registration - Premium Veterans Donors - Republican Voters | -2147358831 | Veteran Donors that are registered Republican voters who are also active multichannel buyers. |
| US Experian - Politics - Political Affiliation - Democrat | usexp.psy.polaff.demo | This segment contains consumers who are likely to be in the Democratic political party. Based on combination of actual and modeled data of consumers registered with political organizations. |
| US Experian - Politics - Political Affiliation - Independent / Other | usexp.psy.polaff.inde | This segment contains consumers who are likely to be in the Independent or other political parties. Based on combination of actual and modeled data of consumers registered with political organizations. |
| US Experian - Politics - Political Affiliation - Republican | usexp.psy.polaff.rep | This segment contains consumers who are likely to be in the Republican political party. Based on combination of actual and modeled data of consumers registered with political organizations. |
| US Experian - Politics - Political Personas - Conservative Democrats | usexp.psy.polper.condemo | This segment contains consumers who are more likely "somewhat conservative" or "very conservative". Very well informed adults who have their own strong opinions on key issues that do not conform to traditional thinking by Democrats. More likely to be "pro-life". Religion plays an important role in their lives. Liberal views on issues like the environment, immigration, and volunteerism. |
| US Experian - Politics - Political Personas - Green Traditionalists | usexp.psy.polper.greentrad | This segment contains consumers who are likely "middle-of-the-road". This segment tends to skew more traditional or conservative on some key political and social issues such as pro-life, social security, healthcare and religion. The environment is a key issue for this group as they actively participate in recycling programs and are concerned about pollution. |
| US Experian - Politics - Political Personas - Left Out Democrats | usexp.psy.polper.leftoutdemo | This segment contains consumers who likely consider being "middle-of-the-road" or somewhat/very liberal. Not engaged or opinionated on the majority of political and social issues. Have jaded or apathetic views to things like education, economy, the environment and healthcare. |
| US Experian - Politics - Political Personas - Mild Republicans | usexp.psy.polper.mildrep | This segment contains consumers who are likely "middle-of-the-road" or "somewhat conservative". "On-the-fence" on key issues like health care, the environment and religion. More conservative views on social security, immigration, employment and education. More liberal with their attitude toward pro-life, legalizing drugs and pornography. |
| US Experian - Politics - Political Personas - On-the-Fence Liberals | usexp.psy.polper.otflib | This segment contains consumers who are likely "middle-of-the-road" and "any liberal (somewhat to very)". This segment does not have particularly strong feelings on any key political issues, but they do have a slight skew to more liberal thinking. This rings true for issues like pro-life and religion. Other issues show a more on-the-fence attitude that is not strong either way, this would include the economy, healthcare, education and immigration. |
| US Experian - Politics - Political Personas - Super Democrats | usexp.psy.polper.superdemo | This segment contains consumers who are likely very liberal. Very strong liberal opinions on a variety of topics including the environment, healthcare, immigration, education and the economy. Social issues show a very liberal skew including right to life and legalizing drugs. Very involved in their communities. |
| US Experian - Politics - Political Personas - Ultra Conservatives | usexp.psy.polper.ultracon | This segment contains consumers who are likely "very conservative". Well-informed, community-minded individuals with very strong opinions and views that reflect their conservatism. On all key election issues they skew traditional and conservative -employment, the environment, immigration and healthcare. Very conservative attitudes regarding social issues such as pro-life, religion, legalizing drugs and pornography. |
| US Experian - Politics - Political Personas - Uninvolved Conservatives | usexp.psy.polper.uninvcon | This segment contains consumers who are likely "Somewhat" or "very conservative". Adults not particularly engaged in their communities or key political topics such as the environment, education or health care. Appear to have conservative attitudes towards immigration issues. Their financial attitudes lean towards conservative as well. |
| US SMS-INC - Political Party - Democratic / Liberal | ussms.pp.demo | Political Affiliation: Democrat |
| US SMS-INC - Political Party - Independent | ussms.pp.indep | Political Affiliation: Independent |
| US SMS-INC - Political Party - Republican | ussms.pp.repub | Political Affiliation: Republican |
| US Stirista - Voter Data - Political Party - Democratic | stir.usvd.pp.dem | Political party preference - Democratic Party - Based on Voter Data |
| US Stirista - Voter Data - Political Party - Green | stir.usvd.pp.gre | Political party preference - Green Party - Based on Voter Data |
| US Stirista - Voter Data - Political Party - Independence | stir.usvd.pp.in | Political party preference - Independence Party - Based on Voter Data |
| US Stirista - Voter Data - Political Party - Non-Partisan | stir.usvd.pp.npar | Political party preference - Non-Partisan - Based on Voter Data |
| US Stirista - Voter Data - Political Party - Registered Independent | stir.usvd.pp.ri | Political party preference - Registered Independent - Based on Voter Data |
| US Stirista - Voter Data - Political Party - Republican | stir.usvd.pp.rep | Political party preference - Republican - Based on Voter Data |
| US ALC - Political Precision - Demographics - Millennial Latino Voters | -2147361351 | Likely voters who are of Hispanic or Latin American ethnicity and are known as Generation Y and are between the ages of 18 and 35. |
| US ALC - Political Precision - Demographics - Non-College White Male Voters | -2147361350 | Likely voters who are non-college white males. |
| US ALC - Political Precision - Demographics - Single White Female Voters | -2147361349 | Likely voters who are single white females. |
| US ALC - Political Precision - Voters - Democrat-Only Households | -2147361347 | Likely voters where all members of the Household are Democrat. |
| US ALC - Political Precision - Voters - Democrat-Only Households | -2147361347 | Likely voters where all members of the Household are Democrat. |
| US ALC - Political Precision - Voters - Republican-Only Households | -2147361346 | Likely voters where all members of the Household are Republican. |
| US ALC - Political Precision - Voters - Republican-Only Households | -2147361346 | Likely voters where all members of the Household are Republican. |
| US ALC - Political Precision - Voters - Split Households | -2147361345 | Likely voters where members of the Household include Democrat and Republican. |
| US ALC - Political Precision - Voters - Split Households | -2147361345 | Likely voters where members of the Household include Democrat and Republican. |
