When AI Search Shrinks the Click Economy, Smart Budgets Follow Attention

Eyeota
Apr 6, 2026
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For years, search acted like the front door to the open web and the center of gravity for digital budgets. Marketers could capture intent, earn clicks, and optimize around relatively straightforward cause and effect. That model is now being re-shaped as conversational AI turns “search” into an instant answer, not a sequence of visits.

Marketers aren’t guessing about the direction. Nearly two-thirds of worldwide marketers (64%) say reduced use of traditional search engines will be the biggest AI-driven shift affecting digital advertising in the next few years. And consumer behavior is already shifting: Daily AI search usage in the U.S. more than doubled from 14% in February 2025 to 29.2% in August 2025.

Even without AI Overviews fully in play, traditional search has shown cracks. Google search clickthrough rates declined for both paid (down 3.6 points) and organic (down 1.2 points) results from October 2024 to September 2025, suggesting a broader momentum toward faster answers and fewer steps.

 

Contents

Introduction

Budgets don’t vanish. They move.

When search becomes less click-driven, dollars don’t disappear. They migrate to the channels where attention already lives and where marketers can still build repeatable, measurable growth.

Connected TV is the clearest signal. U.S. CTV ad spending is expected to approach $46 billion in 2028 and surpass linear TV ad spending for the first time. That isn’t just a format change. It’s an allocation shift toward premium video environments that combine storytelling with increasingly addressable buying.

DOOH is also gaining share as digital capabilities expand in the physical world. DOOH is expected to account for 45.2% of total OOH ad spending in 2028, up from 22.0% in 2016. As more inventory becomes digital, DOOH is evolving from a static placement into a programmatic, data-driven channel that can complement streaming, mobile, and commerce media.

 

Your data strategy has to travel with your media strategy.

As budgets rebalance away from search, the bigger challenge is not picking “the next channel.” It’s maintaining continuity as customers move across more surfaces, more formats, and more moments that don’t neatly map to a click.

Search-centric approaches were built around intent signals and click-based attribution. Streaming, social, and DOOH require marketers to recognize audiences across environments, activate with privacy in mind, and measure performance without assuming a single deterministic path.

That puts three requirements at the center of modern data strategy:

1. Build an identity foundation that connects environments, not just platforms.

In a post-click world, your most valuable asset is the ability to understand and reach the same audience consistently as they move across devices and contexts. That means investing in identity and data foundations that are designed for omnichannel reality: CTV, mobile, desktop, and emerging channels where identifiers vary and deterministic coverage is uneven. It also means shifting from “audience definitions that live inside one platform” to audience definitions that can travel, with governance and control.

Eyeota supports this by helping brands and agencies translate diverse signals into privacy-forward audiences built for interoperability. Instead of rebuilding targeting logic for every channel, marketers can start with a consistent audience foundation and activate it wherever spend is moving.

2. Raise the bar for data quality, recency, and transparency.

As optimization becomes more automated, weak data becomes more expensive. AI-driven decisioning can amplify what you feed it, but it can’t magically fix opaque or stale inputs.

In practical terms, marketers need to demand more from their data partners: clear sourcing, strong governance, and freshness that aligns to how quickly customer intent shifts. They also need data strategies that support responsible use, including privacy-forward design and controls that make audiences easier to explain internally and externally.

Eyeota’s approach prioritizes audience building that is built to perform in real buying environments, supported by a focus on quality and transparency so marketers can make confident activation decisions across channels, not just in one walled garden.

3. Stay flexible so you can follow attention without starting over.

The most resilient teams in 2026 won’t be the ones who “pick the right channel.” They’ll be the ones who can reallocate budget quickly without breaking their audience strategy and measurement approach.

That flexibility requires activation that works across partners and workflows, with audiences that can be deployed consistently in the platforms marketers already use. It also requires a practical operating model: the ability to test, learn, refresh, and scale audiences without months of rework every time the mix changes.

Eyeota is built for that kind of adaptability. As marketers shift into streaming, CTV, and DOOH, Eyeota helps them carry audience strategy forward, so performance isn’t dependent on a shrinking supply of clicks and a single, fragile pathway from intent to conversion.

 

Where Eyeota fits

The click economy might be compressing, but the opportunity is expanding. As attention relocates across video and streaming, social, and the physical world, marketers can build a more durable growth engine.

Eyeota helps brands and agencies make that transition with privacy-forward, omnichannel audience strategies that are designed to move with the market. The winners in this next phase will be the teams that treat data as shared infrastructure, not a campaign accessory, and build an audience foundation strong enough to support wherever budgets go next.

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Categories
Audience Data, Data Marketplace, Digital Advertising, Eyeota Insights, Data Enrichment, AI
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