How is the loss of digital identifiers reshaping advertising research? This guide, by the ARF Analytics Council, offers advertising researchers a deep dive into the privacy-first landscape, covering regulatory impacts, measurement challenges and practical identity solutions—from synthetic IDs to advanced modeling—to enable successful targeting and attribution in a fragmented ecosystem.
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The ARF tested whether generative AI can adopt executive personas and provide credible, role-specific strategies. This experiment highlights how AI performs when “thinking like” organizational leaders, its limitations in institutional logic and feasibility, and how human-in-the-loop feedback can refine outputs and create nuanced and worthwhile results.
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Can AI challenge its own conclusions rather than merely reinforcing them? In this ARF experiment, researchers explored whether large language models (LLMs) like ChatGPT can go beyond efficiency and exhibit deeper critical thinking skills. By prompting AI to evaluate and compare hypotheses—including its own—this study reveals how LLMs can serve as interpretive collaborators in research and theoretical reasoning.
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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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