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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As retail media expands across onsite, offsite and in-store environments, buyers are looking beyond basic attribution to determine whether advertising is actually driving incremental sales. In a guest article for The Advertising Club of New York, Tracy Adams, PhD, ARF Senior Director of Research & Insights, examines findings from the second phase of the ARF Retail Media Network Standardization Project, revealing what advertisers and agencies say they need to make retail media measurement more comparable, transparent and trustworthy.
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As generative AI becomes increasingly integrated into research workflows, what does "human in the loop" actually mean? This latest installment in the ARF and MSI's Psychology of Gen AI series explores how researchers and large language models can work together to develop rigorous research designs—and why human judgment remains indispensable throughout the process. By comparing multiple AI-generated experimental designs and refining them through expert evaluation, the study demonstrates that AI is most valuable as a collaborator that expands possibilities, not as a replacement for methodological expertise.
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Artificial intelligence is becoming deeply embedded in advertising and marketing, but adoption alone is no longer the story. In this guest article for The Advertising Club of New York, ARF Senior Director of Research & Insights Tracy Adams examines findings from the ARF's latest AI research, which reveals that while organizations are increasingly confident in AI-generated outputs, many are still developing the testing, governance and measurement practices needed to ensure those outputs deliver meaningful business value.
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