Eyeota adds 1.4 billion Buzzsaw Media records for deterministic CTV targeting

The deal addresses the streaming industry's acute need for authenticated signals as legacy identifiers fail. By prioritizing deterministic data—verified through real-world events rather than probabilistic modeling—Eyeota helps CTV buyers mitigate the 87% inaccuracy rate frequently cited in IP-to-household matching. This shift toward high-fidelity identity is now a baseline requirement for 2026 upfront commitments, where advertisers demand measurable outcomes over broad demographic reach. For the ecosystem, this move signals a consolidation of data power among infrastructure players like Dun and Bradstreet, who are positioning verified B2B2C datasets as the reliable alternative to crumbling third-party cookies. Watch for Eyeota to further integrate these segments into AI-driven curation platforms to automate targeting precision.

The emphasis on deterministic data in 2026 coincides with a major structural shift in the US advertising market. Per Basis, programmatic display ad spend is projected to exceed $220 billion this year, accounting for nearly 95% of total digital display transactions. Within this volume, CTV has emerged as a central pillar; the IAB's 2026 Outlook report forecasts $38 billion in CTV ad spend, growing at twice the rate of the broader market. This rapid expansion is forcing a transition from volume-driven reach to performance accountability, as premium streaming environments move away from unaddressable audiences that publishers struggle to monetize.

Simultaneously, regulatory pressure is intensifying on data providers. According to White & Case reporting from January 2026, the California Privacy Protection Agency and the FTC have prioritized enforcement against improper data sharing and ineffective opt-out mechanisms. New mandates, such as California’s "Delete Act" effective by August 2026, require a centralized deletion mechanism for registered data brokers, significantly raising the compliance bar for marketplaces like Eyeota. These legal frameworks are incentivizing the industry to move toward "privacy-by-design" identity solutions that use verified first-party data rather than tracking signals.

Institutional data players are also consolidating their footprints to maintain scale. In February 2026, Infillion acquired Catalina to secure a deterministic database covering 130 million American households, highlighting a trend of major acquisitions aimed at locking in purchase-based intelligence. Similarly, the ongoing competition between deterministic and probabilistic models has reached a tipping point; per OpenAP, the 2026 upfront cycle is defined by a shift toward "audiences of record," as the 42% revenue gap between authenticated and non-authenticated viewers makes inferred identity signals a financial liability for broadcasters and brands alike.