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195. From Cookies to Context: Rethinking Targeting in Ad Tech

Programmatic Digest
Programmatic Digest•May 6, 2026

Why It Matters

By replacing fragile ID matching with real‑time contextual intent, Anuvo promises higher ROI for advertisers and a more sustainable revenue model for publishers, accelerating the industry’s move beyond the cookie‑centric paradigm.

Key Takeaways

  • •Anuvo replaces ID‑based targeting with real‑time content‑driven intent modeling.
  • •Their “intent key” predicts user intent using contextual signals, not cookies.
  • •Eliminating ID matching reduces latency and mitigates fraud from scraped IDs.
  • •Publishers can monetize higher‑quality content by serving ads aligned with trending topics.
  • •Advertisers build custom models via simple prompts, gaining transparent, language‑based targeting.

Summary

The Programmatic Digest episode features Eric Tilbury, head of programmatic at Anuvo, who explains the company’s shift from traditional ID‑centric adtech to a content‑driven intent model.

Anuvo’s proprietary ‘intent key’ engine predicts a user’s purchase intent by analyzing real‑time content signals—trending topics, geographic relevance, and sentiment—directly within the OpenRTB bid request. The system bypasses user‑ID matching, eliminates segment latency, and makes a single, data‑rich decision at auction time.

Tilbury cites examples such as Kevin Durant’s burner‑account tweets that instantly reshape sentiment, and warns that ID‑based lists are vulnerable to fraudsters who scrape and inject bogus IDs, inflating CPMs while delivering no human traffic. By letting advertisers craft custom models through simple natural‑language prompts, Anuvo offers transparent targeting without a black‑box segment.

If adopted broadly, this approach could lower acquisition costs, improve brand‑safe inventory, and give publishers a measurable incentive to produce high‑quality, trend‑relevant content. It also forces the programmatic ecosystem to rethink the fragmented supply chain that currently fuels fraud and inefficiency.

Original Description

In this episode of the Programmatic Digest, Manuela Cortes sits down with Eric Tilbury, Head of Programmatic and Solutions Engineering at Anuvo, to discuss the evolution of ad tech and the industry's shift away from traditional identity-based targeting.
With over 14 years in the space, Eric shares insights from his unique background working on both the supply side (monetization) and the buy side, explaining how balancing the needs of both publishers and advertisers has shaped his perspective on the ecosystem. The conversation highlights a major flaw in current programmatic practices: the over-reliance on fragmented user IDs, which Eric argues leads to low match rates and provides a massive "merry-go-round" for ad fraud.
The heart of the discussion focuses on Anuvo’s proprietary solution, the Intent Key. Eric explains why they chose to move away from tracking IDs to instead focus on modeling content and intent in real-time. By using language-based signals and custom intent models, advertisers can reach relevant audiences without the latency or privacy concerns associated with the "cookieless boogeyman".
Manuela and Eric also dive into the complexities of CTV and in-app advertising. Eric shares why targeting based on geo-relevance (zip codes) and content genres is often more accurate than using unstable IPs or IDs, which he notes are only present in about 30% of CTV inventory. He stresses the importance of Supply Path Optimization (SPO) to ensure buyers are reaching real human audiences in high-impact environments rather than wasting budget on "refrigerator ads".
They close the conversation with a look toward an "agentic future," where AI agents facilitate deeper strategic decisions, and Eric underscores the necessity for buyers to actively optimize their data points to ensure programmatic remains an effective, high-value channel.
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👤 Meet Our Guest:
Eric Tilbury – Head of Programmatic and Solutions Engineering at Anuvo
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Hélène Parker – Chief Programmatic Coach
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Manuela Cortes – Co-Host, Programmatic Digest en Español
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