Digital publishers often assume that content generating the most clicks also creates the most valuable readers. This MSI Working Paper challenges that assumption. Using behavioral data from a major European news publisher, the researchers find that while politically polarizing content reliably increases engagement, it does little to drive subscriptions—and during politically charged periods, it can actually reduce subscriber acquisition and increase churn. The findings offer important guidance for publishers and marketers seeking to balance short-term attention with long-term customer relationships.
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What does “attention” really mean in today’s fragmented media landscape—and does more attention actually drive better results? In phase three of the ARF Attention Measurement Validation Initiative, real-world campaign data reveals where attention metrics align, where they diverge and how they relate to brand lift. The findings challenge assumptions and offer a more nuanced view of how attention works across channels, platforms and outcomes.
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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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At this event, members of the ARF Organizational Insights Council presented the results of 21 in-depth interviews (IDIs) with industry leaders that they had conducted from June to November 2025. The purpose of these IDIs was to gain an understanding of the “how” and “why” behind industry shifts uncovered in the Council’s third Organizational Benchmark Survey in 2024. The five Council members – Council Chair Susan Pizarro (Dynata) and Council members Shelley Yang (Ipsos), Remy Spoentgen (Nielsen), John Baro (Transunion), and Maris Cohen (Blackstone), revealed insights on the trends impacting the evolution of insights and analytics team such as the breaking down of silos, shifting roles and responsibilities, and the impact of AI on work distributions and teams.
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