Audience & Media Measurement

AUDIENCEXSCIENCE 2026

  • ARF

ARF’s annual AUDIENCExSCIENCE conference showcased the most urgent challenges and recent breakthroughs in audience measurement. Industry leaders gathered in NYC March 18-19 to examine the rapidly changing intersection of AI, marketing, media, and consumer insights. As AI shifts research workflows, alters measurement systems, and changes consumer behavior, we explored new insights on how audience measurement is adapting to rapid change. Read the executive summary of the conference and the top presentation highlights here. For detailed key takeaways of each session, see below.

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Learning Across Marketing Experiments: A Bayesian Approach to Improving Targeting

  • ARF, MSI

Companies run many marketing experiments, but most A/B tests are analyzed independently—limiting what firms can learn about how customers respond to interventions over time. This research introduces a hierarchical Bayesian framework that integrates data from many experiments simultaneously to estimate customer-level responsiveness to marketing. Using large-scale field experiments, the model decomposes treatment effects into customer, campaign and timing components and uses these insights to improve targeting decisions. The results show that most variation in marketing effectiveness comes from persistent differences in customer responsiveness, enabling firms to better identify who to target and when.

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Digital/Virtual MVPD Viewers: Drivers and Characteristics

  • Dan Robbins and Priscilla Aydin

The number of DigitalMVPDs that use the Internet to provide video content and other services continues to grow. Ad agency OMG and digital MVPD company Roku surveyed over 5,900 DMVPD users and learned insights about their attitudes on a wide range of topics, such as advertising, how they feel about their service, and what key factors affect their choosing a specific DMVPD.

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What Lift & ROI Measurement Products Exist Today?

  • ARF Cross-Platform Measurement Council

Relevant key performance indicators (KPIs) have become increasingly important over the last decade for evaluating the impact of marketing and media spending. Today, numerous companies offer products that measure “ROI” and “lift,” But, for many, it is difficult to differentiate them. This prompted the Online-Offline Metrics Working Group of the ARF’s Cross-Platform Measurement Council to create: The Guide to Lift and ROI Measurement Products. This comprehensive report highlights the product offerings of 27 companies in the space.

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How Facial Expressions Can Predict Ad Sharing

  • Daniel McDuff, Microsoft Research; Jonah Berger, Wharton School of the University of Pennsylvania -- JOURNAL OF ADVERTISING RESEARCH

Why do some ads get shared more than others on social media? This study used facial coding algorithms to quantify the facial expressions of thousands of individuals in response to video ads. The findings help advertisers predict how different emotions influence sharing, and provide a deeper understanding of the complexities between emotion and transmission.

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