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Industry story

Ad Budgets Shift From Audience Data to Contextual as Identity Erodes

contextual ctv data-brokers identity programmatic

OpenX data shows a dramatic structural shift in how ad budgets are allocated in the U.S.: in 2022, 78% of spending on its platform went to third-party audience data (targeting users based on tracked behavior across sites); by 2025 that share had shrunk to ~40%. Contextual targeting — placing ads based on the content surrounding them rather than the user's identity — rose to ~35%, driven largely by CTV (connected TV, i.e., streaming on internet-connected televisions), where buyers can target by show, genre, and rating. First-party data spiked in 2024 when Google threatened to kill browser cookies, then retreated after Google reversed course. The trend suggests audience-based targeting is losing structural share regardless of any single platform decision.

Analysis

Showing the shorter version.

OpenX has one of the cleaner data sets on this shift: in 2022, 78% of US spend on its platform chased third-party audience segments (the behavioral profiles built from cross-site tracking). By 2025, that was down to roughly 40%. Contextual targeting, placing ads next to relevant content rather than a tracked user, climbed to about 35%, mostly on streaming TV. First-party data spiked in 2024 when Google threatened to kill cookies, then retreated when Google reversed.

The caveat matters. OpenX is heavy in streaming TV, and connected TVs never supported cookies, so contextual was always the default there. More streaming inventory in the mix mechanically deflates the behavioral share without any buyer changing conviction. The open web still runs largely on third-party segments. One exchange's book is not an industry law.

That said, the direction is real even if the magnitude is overstated. Apple's privacy changes and browser restrictions have genuinely weakened identity-based targeting, and streaming is a large, growing channel where contextual is the only option. The structural case for pure-play behavioral data as a premium product is weaker than the 2021 narrative assumed.

Who feels it

For DSPs and agency trading desks, audience PMP deals and DMP seat fees that once looked like competitive edge are starting to look like overhead. The traders running those line items often haven't been told yet.

For data brokers and standalone DMPs (data management platforms), this is the harder story. If behavioral segments have lost nearly 40 points of spend share on a major exchange in three years, the renewal math at current pricing is a problem. LiveRamp (the largest independent identity and data connectivity platform) has a path forward by leaning into clean-room-mediated first-party matching, where two parties reconcile customer records without exchanging raw files. Its ceiling is lower than the 2021 story claimed, but it has somewhere to go. Pure-play third-party segment sellers have less runway.

For mid-tier publishers with no first-party data program, contextual CPMs are rising but still trail behavioral on premium inventory. They're exposed on both sides of the transition.

The call

At least one of LiveRamp, Experian's marketing services arm, or TransUnion's TruAudience will announce a strategic pivot, sale, carve-out, or restructuring of its third-party segment business by Q3 2027 earnings (November 2027). Medium confidence. The direction is clear; which name moves first and when are not. A third-party data business priced on being the identity layer has to re-justify itself when buyers reallocate away from that layer, and the fastest defense of a shrinking standalone asset is to repackage it inside clean rooms or spin it off. Keeping all three businesses positioned exactly as before requires buyer demand to stop eroding. Nothing in the privacy or streaming trend points that way.

Before gutting a data stack, verify contextual performance parity on your own inventory and pull the mix-adjusted number for display-only. Before renewing a DMP seat at last year's price, make the vendor justify it against a share that has roughly halved.

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