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Why AI personalization comes with strict limits

MarTech·@ConstantinevonHoffman·2 months ago
#REDPG0
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Consumers are still concerned about privacy, but they are getting more comfortable trading data for better product recommendations. Share a little about what you’ve browsed or bought, and the experience gets faster and more relevant. But that openness has limits, and when brands push past what feels fair or transparent, trust drops quickly. To improve recommendations, 43% of U.S. shoppers say they will share their browsing history, 42% their past purchase history and 34% their location, according to Omnisend’s “AI Shopping Report.” That’s a meaningful level of openness, but it comes with clear expectations about the use of the data. AI-driven shopping is a straightforward exchange. Consumers share data in return for better recommendations, faster decisions and less friction. ### What data would you share to improve recommendations? ## Relevance drives data sharing, but not without limits People will share data when the payoff is obvious.…

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