As generative AI becomes a central tool for producing marketing content, firms increasingly rely on fine-tuning models using engagement data, such as A/B test results. This MSI working paper argues that optimizing only for “what works” risks reward hacking, clickbait and poor generalization. The authors propose a knowledge-guided alignment framework in which large language models (LLMs) generate and validate hypotheses about why content performs well, and then use this knowledge to guide fine-tuning. Using more than 23,000 A/B-tested news headlines, the study shows that knowledge-guided AI produces higher engagement, avoids clickbait and generalizes better—especially in low-data settings.
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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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Based on two decades of Brand Asset Valuator (BAV) data and a complementary custom study, this ARF Cognition Council report examines why some brands maintain strength over long periods while most decline. The research identifies differentiation, consistency, cultural relevance and sustained visibility as critical drivers of long-term brand resilience in the face of market and consumer change.
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On December 4, this Insights Studio Session dove into new research explaining why cutting brand spend is more costly than ever and how leading marketers are delivering revenue growth by focusing on brand equity. Attendees learned about new tactics that mature marketers are using to build equity, drive consumer influence, and navigate the future of marketing.
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