identity resolution

Bridging the Human-to-AI Identity Gap

  • ARF COUNCIL REPORT
  • CROSS-PLATFORM MEASUREMENT COUNCIL

As generative search and agentic AI transform how consumers discover, evaluate and purchase products, traditional identity resolution and attribution systems are struggling to keep pace. This new paper by the Identity Resolution Working Group of the ARF Cross-Platform Measurement Council, introduces the concept of “Delegated Identity”—a framework designed to reconnect human intent with AI-driven actions in an increasingly AI-mediated marketplace. The report explores the emerging identity gap, evaluates industry readiness and outlines the challenges and opportunities facing marketers, identity providers and AI platforms.

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  • Article

Delegated Identity: Resolving the Identity Gap in an AI-Mediated Environment

This new paper by the Identity Resolution Working Group of the ARF Cross-Platform Measurement Council, introduces the concept of “Delegated Identity”—a framework designed to reconnect human intent with AI-driven actions in an increasingly AI-mediated marketplace. The report explores the emerging identity gap, evaluates industry readiness and outlines the challenges and opportunities facing marketers, identity providers and AI platforms.

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The ARF 2025 Research Intelligence Hub: Key Insights for Advertising Effectiveness

  • ARF Research Compendium

The ARF’s 2025 Research Reports & Resources compendium brings together the most important thinking shaping advertising research today—from AI and privacy to media planning, attention and brand strategy. Spanning dozens of studies, reports and expert perspectives published by the ARF in 2025, this collection provides marketers and researchers with a practical, forward-looking view of how data, technology and consumer behavior are redefining the discipline.

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  • Article

2025 ARF Research Reports & Resources

This compendium report highlights all of the ARF research reports and resources produced in 2025, including ARF original research reports, Psychology of Gen AI series, Council reports, podcasts and infographics, along with Knowledge at Hands.

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Updating the TelevisaUnivision Household Graph for the Future

Sergey Fogelson, Ph.D. – VP, Head of Data Science, TelevisaUnivision

Pouya Tehrani, Ph.D. – Director of Data Science, TelevisaUnivision

Sergey Fogelson and Pouya Tehrani of TelevisaUnivision presented a household-level identity graph designed to more accurately identify and target U.S. Spanish-language media consumers, whose total addressable market (TAM) differs significantly from the general population. The system integrates extensive first-party data (e.g., direct-to-consumer touchpoints) with 10–15 third-party datasets (including demographic, behavioral and ad exposure data) to detect signals of Spanish-language media affinity (e.g., language settings, site visitation, cultural content consumption). The graph links identifiers (e.g., IPs, hashed emails, device IDs) to individuals and households, enabling cross-device and cross-platform targeting and measurement.

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