Analytics & Data Science

Beyond the Hype: How AI Is Reshaping Modern Marketing

  • ARF ORIGINAL RESEARCH

Artificial intelligence has rapidly become part of the everyday marketing toolkit, transforming everything from creative development and campaign measurement to analytics and customer engagement. Drawing on two nationwide surveys of more than 200 U.S. advertisers and agencies, this new ARF study explores where AI adoption stands today, which tools marketers rely on most, how organizations are validating AI outputs and the governance practices emerging as AI becomes central to marketing operations.

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Beyond Review: Why Human Judgment Remains Essential in AI-Assisted Research Design

  • Psychology of Gen AI
  • ARF; MSI

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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Beyond the Dashboard: Rethinking How Marketing Success Is Measured

  • ARF; The Advertising Club of New York

Marketers have access to more data than ever before, yet many still struggle to answer the most important question: Did the marketing effort truly make a difference? And if so, how? Lots of metrics exist. So, is collecting more metrics the best approach to evaluating true impact? In this guest article for The Advertising Club of New York, ARF Senior Director of Research & Insights Tracy Adams argues that the future of measurement isn't about collecting more metrics—it's about integrating multiple approaches to build a more complete, decision-ready understanding of marketing impact.

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What Marketers Need to Know About Retail Media Measurement

  • ARF ORIGINAL RESEARCH

Retail Media Networks (RMNs) have become a cornerstone of modern advertising, but measurement practices across networks remain inconsistent and difficult to compare. This new ARF study examines 16 major RMNs to uncover how advertising assets, attribution systems, incrementality testing and closed-loop measurement are actually implemented in practice. The findings reveal that while reporting dashboards may appear unified, the underlying measurement systems often rely on disparate sources of retailer data, platform reporting, modeling and privacy-safe integrations. The report offers practical guidance for advertisers evaluating retail media investments and highlights the growing need for industry-wide measurement transparency and standards.

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Commerce and Shopper Intelligence

Retail media networks and commerce media are redefining the data and measurement landscape, creating new opportunities—and complexity—for marketers and researchers alike. At Commerce & Shopper Intelligence 2026, brands, retailers, and researchers revealed how they’re adapting methodologies and frameworks to better understand increasingly fluid, data-rich shopping journeys.

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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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From AI Adoption to AI Accountability: What Comes Next for Advertisers

  • ARF; The Advertising Club of New York

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.

Scaling Causal Measurement: A New Path Beyond Attribution

  • ARF; MSI

Randomized controlled trials remain the gold standard for measuring advertising effectiveness, but they are often too costly and complex to deploy across every campaign. This MSI Working Paper introduces Predicted Incrementality by Experimentation (PIE), a new framework that uses data from a limited set of experiments to predict causal advertising effects for campaigns that are not directly tested. The research demonstrates that PIE can dramatically outperform traditional attribution metrics, offering marketers a practical way to scale causal measurement without scaling experimentation itself.

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