This ARF Cognition Council guide brings together the latest research in neuroscience and psychology to explain how consumers process and respond to advertising. It outlines a unified framework connecting attention, emotion, memory and persuasion—showing how these cognitive processes interact to drive real-world outcomes, like brand choice and sales. Moving beyond traditional metrics, the guide highlights emerging approaches to measuring attention and emotional engagement and explores how these signals can be linked to business results. It provides a practical foundation for understanding not just whether ads are seen, but how they are experienced, remembered and ultimately acted upon.
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Generative AI makes it possible to tailor an ad to every individual exposed to it. But does extreme personalization work? And is there a point where it backfires? On May 20, the ARF Cognition Council held an event where industry leaders from VML, Screenvision Media, RMT, and Iris Flex discussed the implications of personalization in advertising. The discussion emphasized the complexities of personalization and highlighted the importance of balance between individual targeting and broader, shared motivations or experiences. The speakers – all members of the Cognition Council — highlighted several research studies and practical insights to convey how personalized advertising can be successful and where impact may be limited.
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As brands increasingly experiment with virtual influencers, new research, published in the Journal of Advertising Research, offers one of the most comprehensive examinations of the virtual influencer landscape to date. Through a systematic review of 117 academic articles, the authors introduce a formal “virtual influencer ecosystem” framework that maps the relationships among creators, brands, consumers, AI technologies and social platforms. The study explores how authenticity, credibility, autonomy, emotional connection and consumer unease shape audience responses to virtual influencers—and what these dynamics mean for marketers navigating the future of AI-driven influence.
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Should brands partner with influencers who have massive followings—or smaller, more niche audiences? New research shows that the answer depends on how the message is delivered. Using construal level theory, the study finds that follower size signals psychological “social distance,” which shapes how consumers process influencer content. Smaller influencers are most persuasive when brand information is explicit and shared on their own channels, while mega-influencers perform better when branding is subtle or when content appears on brand-owned channels. The results suggest that aligning influencer follower size with message diagnosticity can significantly improve campaign effectiveness.
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