ATTENTION 2025

  • ARF

Industry leaders gathered at ATTENTION 2025 on June 5 to explore the evolving science of attention measurement in advertising. This event featured new research from advertisers, agencies, and academics, including preliminary findings from Phase 3 of the Attention Measurement Validation Initiative. Attendees gained actionable insights into scalable attention metrics, their role in optimizing creative and media strategies, and how brands can better identify and engage audiences to drive results.

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Marketing’s Moment: How Resilient Brands can Thrive in Times of Uncertainty

  • ARF

Marketing is more than a growth lever—it’s a critical driver of resilience in uncertain times. This Marketing Science Institute (MSI) synthesis presents evidence-based strategies for marketing leaders to help their organizations adapt, protect core assets and unlock long-term value amid volatility. Drawing from leading journals, it outlines how marketing can be reimagined as a flexible, risk-aware and analytics-driven function that steers firms through disruption toward recovery and competitive advantage.

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The ARF Metrics Survey: Insights into Advertising Strategies

  • ARF

The ARF Metrics Survey explores critical trends in advertising strategies, including budget allocation, metric usage and targeting solutions. Drawing on insights from agencies and brand-side advertisers, the findings reflect shared priorities, notable differences and challenges in evaluating and optimizing campaign performance. The study highlights the dominance of digital channels, with high-priority channels such as digital video, social media, SEM and television receiving significant budget allocations.

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Learn About the Benefits, Limitations and Dangers of Using LLMs in Advertising Research

  • By ARF
  • Knowledge at Hand

This report offers an abridged version of the cumulative 2025 AI handbook, exploring the benefits, limitations and dangers of generative AI models when employed in various tasks associated with marketing and advertising research. This report sums up the insights from several experiments where ARF researchers tested AI's capabilities in survey design, sentiment analysis, coding open-ended responses, language translation and addressing AI risks.

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Designing with Machines: A Co-Creative Model for Generative AI in Advertising Agencies

  • ARF
  • Journal of Advertising Research

A new study uncovers how advertising agencies are attempting to integrate generative AI into their creative workflows, and the repercussions of that process. Based on interviews and field data, the research presents a four-phase model—readiness, co-creativity, validation and execution. Although the study reveals certain anxieties surrounding this integration, in the end both human and AI elements together are required to boost and enliven the creative process.

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