Analytics & Data Science

How AI Is Changing Omnichannel Campaign Optimization—and Measurement

How AI Is Changing Omnichannel Campaign Optimization—and Measurement

  • ARF
  • Cross-Platform Measurement Council — Attribution Working Group

AI-optimized, omnichannel campaigns are changing how media are planned, activated and measured. Drawing on in-depth interviews with advertisers and providers, the ARF Cross-Platform Measurement Council’s Attribution Working Group examined omnichannel campaign tools such as Google Performance Max and Meta Advantage+, exploring their potential to simplify execution, optimize across channels and improve performance. Their research also identified important tradeoffs, including transparency, testing capabilities and ongoing measurement and governance challenges.

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How to Validate Media Measurement Systems Built with AI

How to Validate Media Measurement Systems Built with AI

  • by Danielle Parra (Omnicom), Young Pros Officer
  • CROSS-PLATFORM MEASUREMENT COUNCIL

AI can accelerate campaign measurement, but how do you know the results are reliable? On July 15, the ARF Cross-Platform Measurement Council led an exploration of validating AI-powered measurement models and systems. Industry practitioners shared validation approaches, frameworks, and tools that work based on real case studies. Plus, attendees had the opportunity to ask questions in a Q&A.

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Making Sense of Open-Source Marketing Mix Modeling

Making Sense of Open-Source Marketing Mix Modeling

  • ARF; MSI

As privacy changes make it harder for marketers to track individual customer journeys, media and marketing mix modeling (m/MMM) is experiencing renewed interest. Open-source tools from Meta, Google and the PyMC ecosystem promise to make these methods more accessible, particularly for organizations without the resources for customized proprietary models. In this MSI working paper, Julian Runge and Koen Pauwels evaluate the leading open-source approaches, examining their capabilities, differences and tradeoffs. Their analysis shows that while automation can democratize sophisticated marketing measurement, using these tools responsibly requires careful attention to model assumptions, diagnostics, calibration and validation.

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

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.

Bridging the Human-to-AI Identity Gap

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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Beyond the Hype: How AI Is Reshaping Modern Marketing

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

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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Scaling Causal Measurement: A New Path Beyond Attribution

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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