AI product recommendations use shopper behavior to suggest relevant items, helping visitors find products that match their interests.

In this case study, learn how Upsellit helped UK women’s fashion retailer Roman reduce abandonment with personalized product recommendations. By combining AI Recommendations with Exit Detect, Upsellit presented interested shoppers with alternatives to items they had viewed. Control group testing measured the incremental impact on conversions and revenue per visitor.

Download the case study to discover how Upsellit:

• Delivered a 3.34% conversion rate lift
• Increased revenue per visitor by 3.2%
• Personalized recommendations across product categories
• Re-engaged abandoning shoppers without offering discounts