On February 25, leading authorities from OptiMine shared new research examining why marketing mix model (MMM) refresh cadence matters more than many brands realize. Attendees heard the latest insights from OptiMine’s Model Refresh Cadence project, examining how model degradation occurs over time and how refresh frequency impacts reliability and decision-making. Panelists shared real-world case studies based on brands that have successfully moved to faster refresh cycles, highlighting what changed operationally and what improved as a result.
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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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Large language models (LLMs) are rapidly becoming a new gateway to online information, potentially disrupting traditional search engines, websites and advertising markets. Using detailed clickstream data from 2022–2023, this study examines how adopting LLM tools changes consumers’ online behavior. The authors find that LLM adoption gradually reduces traditional search activity and the browsing of smaller websites, while also lowering display advertising exposure. These results suggest that generative AI may reshape how users access information online and alter the distribution of attention and advertising revenue across digital platforms.
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