An endorser’s native origin can trigger brand reactions in consumers due to their cultural predispositions. New research in this area has revisited ethnocentrism and xenocentrism, not as diametrically opposed mindsets but as ones coexisting in dynamic configurations, with each mindset expressed or suppressed as a result of origin cues from brands and endorsers. The resulting models provide blueprints for predicting favorable attitudes, by aligning targeting and messaging strategies with appropriate mindsets and origin cues. Read the article.
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AI is transforming how organizations generate insights and forecast outcomes, but questions remain about reliability and the need for human oversight. On September 14-15 in NYC, industry and academic leaders gathered to discuss integrating AI into analytics workflows and maintaining transparency.
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On September 10, DATA POEM introduced interconnected, non-linear optimization using Large Causal Models, which enable real-time, granular decision-making across all marketing levers and market scenarios. This session was designed for leaders who suspect their current optimization framework is leaving significant value on the table—and want to understand what the architectural alternative looks like in practice.
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Retail Media Networks (RMNs) have become a cornerstone of modern advertising, but measurement practices across networks remain inconsistent and difficult to compare. This new ARF study examines 16 major RMNs to uncover how advertising assets, attribution systems, incrementality testing and closed-loop measurement are actually implemented in practice. The findings reveal that while reporting dashboards may appear unified, the underlying measurement systems often rely on disparate sources of retailer data, platform reporting, modeling and privacy-safe integrations. The report offers practical guidance for advertisers evaluating retail media investments and highlights the growing need for industry-wide measurement transparency and standards.
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