"Consumers are willing to share data when the payoff is obvious. Behavioral signals like browsing and purchase history feel acceptable because they directly improve the experience, and accurate recommendations make them willing to share more."
"Trust in AI shopping isn't abstract. It breaks at predictable points, and the data makes those lines clear. Personalized pricing is the biggest one, with 70% of shoppers saying they would disengage if charged differently for the same product."
"According to Omnisend, 42% of U.S. shoppers say ChatGPT provides better product recommendations than traditional search engines, signaling a move away from search toward recommendation-driven discovery."
Consumers are increasingly comfortable sharing data for improved product recommendations, with 43% willing to share browsing history and 42% past purchases. This openness is contingent on clear value, as trust diminishes when brands exceed acceptable limits. Personalized pricing is a major concern, with 70% of shoppers likely to disengage if charged differently for the same product. While AI-driven recommendations enhance consumer confidence, sharing social data remains a sensitive issue, indicating a need for transparency in data usage.
Read at MarTech
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