As marketers invest more heavily in short-form and social video platforms, understanding how Gen Z allocates attention has become increasingly important. This literature review examines what current research reveals about Gen Z’s attention across social feeds, short-form video, creator content, streaming and emerging formats. The evidence suggests that Gen Z attention is not necessarily shorter, but faster, more selective and highly dependent on platform context, creative execution and brand familiarity.
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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 is opening new possibilities for hyper-personalized advertising, including the ability to create AI-generated faces that closely resemble individual consumers. But how similar is too similar? This Journal of Advertising Research study finds that while moderate facial resemblance can improve advertising effectiveness, excessive similarity may backfire. The research introduces a new framework for measuring facial similarity and identifies an optimal personalization threshold that maximizes purchase intentions while avoiding consumer discomfort and resistance.
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As brands increasingly use AI-generated people in advertising, a new MSI Working Paper explores how consumers respond when those synthetic models are used to increase racial representation. Across multiple experiments, the research finds that disclosure of AI-generated Black models can reduce brand evaluations by weakening perceptions of authenticity and commitment to diversity initiatives, while similar effects do not emerge for White models. The findings offer important guidance for marketers seeking to balance technological innovation with meaningful representation.
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