Shoppers Embrace Personalization – but Draw the Line at AI Taking Control

Why It Matters

The findings show that data‑driven personalization can unlock higher shopper loyalty and revenue, but only when retailers balance precision with privacy safeguards. Missteps in AI‑driven experiences risk alienating a sizable portion of the market.

Key Takeaways

• 91% of US/UK shoppers allow data capture for personalized ads
• 64% approve personalized pricing, while 49% reject fully agentic AI shopping
• 59% more likely to buy from retailers offering personalized suggestions
• Only 8% are completely uncomfortable sharing shopping data
• 42% of shoppers demand accurate, up‑to‑date information for offers

Pulse Analysis

Personalization has moved from a novelty to an expectation in grocery retail, mirroring the success of streaming services that tailor content to individual habits. The Dunnhumby survey confirms that shoppers are ready to trade data for relevance, with 91% comfortable sharing information when it translates into targeted ads and discounts. This willingness creates a fertile ground for retailers to deepen loyalty programs, refine loyalty‑app experiences, and leverage first‑party data to out‑compete generic advertising channels.

However, the data also underscores that relevance and accuracy are non‑negotiable. Only 42% of respondents said they are extremely comfortable sharing data, and 49% demand that offers be based on up‑to‑date information. When retailers meet these standards, the payoff is tangible: 59% of shoppers say they are more likely to buy from brands that deliver highly personalized suggestions, and price‑oriented offers remain the top driver for 55% of purchases. Precision in targeting not only boosts conversion rates but also strengthens long‑term brand trust, a critical asset in a fragmented retail media landscape.

The technology frontier presents both opportunity and friction. While 64% of consumers approve personalized pricing, nearly half (49%) view fully agentic AI shopping as intrusive, and 40% reject chatbots and AI‑curated discovery tools. Retailers must therefore pair innovation with clear education on how AI enhances, rather than replaces, shopper choice. By transparently communicating benefits and ensuring data is used responsibly, retailers can harness AI’s predictive power without eroding consumer confidence, positioning themselves for sustainable growth in the evolving retail media ecosystem.