Privacy, Trust & AI: How U.S. Consumers Are Rewriting the Rules of Advertising

  • ARF Original Research

The ARF’s latest privacy study shows that U.S. consumers are more informed, more trusting and more engaged with artificial intelligence than ever before—yet still cautious about how it and other technologies use their data. Drawing on responses from more than 1,200 adults, the 2025 study reveals rising openness to data sharing when clear benefits exist, persistent skepticism toward certain targeting practices and growing expectations for transparency, especially around AI. For advertising researchers, the findings highlight a shifting privacy landscape where relevance, trust and first-party data strategies are increasingly intertwined.

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Finding the Frequency Sweet Spot in Today’s TV Ecosystem

  • ARF
  • Knowledge at Hand | CMO Brief

How often should an ad be shown before it stops working—and starts to irritate viewers? The latest review of research across linear TV, connected TV (CTV) and streaming platforms makes one thing clear: there is no universal “magic number” for optimal ad frequency. Instead, effectiveness depends on context, including ad environment, timing, creative execution, brand category and audience type. This Knowledge at Hand report synthesizes academic and industry findings to help media planners strike the right balance between reinforcement and wearout in today’s fragmented TV landscape.

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Why Personalization Persuades: What the Evidence Really Says

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

Does personalized advertising really work—or does it risk turning consumers off? A large-scale meta-analysis of 53 experimental studies finds that personalized ads are, on average, more persuasive than non-personalized ones, improving consumer attitudes and behavioral intentions. Crucially, personalization works not because it feels intrusive, but because it increases perceived relevance. When consumers see ads that connect to their interests and identities, persuasion improves—making personalization a low-risk, high-reward strategy when done well.

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When Style Becomes Signal: How Gendered Language Shapes Generative AI Output

  • ARF

As generative AI tools become embedded in advertising and marketing research workflows, questions about bias increasingly extend beyond outputs to the interaction itself. This study examines whether gendered patterns can enter AI through subtle differences in how prompts are phrased. By systematically varying linguistic styles using psychologically grounded traits, the research shows that implicit, style-based, gender cues shape AI prompt construction more strongly than explicit, gender labels, with important implications for how bias may propagate upstream in AI-assisted marketing and research applications.

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Predicting What Moves the Needle: Marketing Mix Modeling After Cookies

  • ARF; MSI

As privacy regulations and the deprecation of third-party cookies limit access to individual-level consumer data, advertisers are increasingly forced to rely on aggregate metrics to evaluate marketing effectiveness. This MSI working paper introduces a novel, two-stage, marketing mix modeling framework designed specifically for cookie-free environments. By combining machine-learning–based directional prediction with classical econometric calibration, the approach demonstrates how firms can extract reliable signals about campaign effectiveness—even from short, noisy, aggregate time series—while maintaining interpretability and practical relevance for marketing decision-making.

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When Confidence Cuts Through: How Arrogant Visuals Capture Attention—and When They Convert

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

Can arrogance work in advertising? New research shows that visually arrogant expressions—such as confident, unsmiling, upward-tilted faces—can significantly increase consumer attention and brand recall. But attention alone doesn’t guarantee sales. Whether arrogance helps or hurts purchase intention depends on how well it aligns with a brand’s positioning. When arrogance reinforces a brand’s sense of leadership or distinctiveness, it can drive stronger buying intent. When it doesn’t, it can backfire.

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