Case Study: Leading U.S. Retailer achieves 20.2% lift in revenue per visitor with Session AI

A leading U.S. retailer achieved a 20% lift in revenue per visitor with real-time offers

Leading U.S. Retailer sought to increase conversions and personalize outreach without broadly eroding margins by sitewide promotions. The retailer partnered with Session AI to deploy an in‑session predictive engagement solution using an Early Purchase Prediction (EPP) model to identify “on‑the‑fence” visitors who could be influenced with targeted incentives or information.

Session AI implemented real‑time visitor segmentation and delivered personalized nudges—time‑limited offers, shipping or rewards prompts, social proof, and other contextual actions—based on behavior, past purchases, and environmental signals. By targeting only influenceable visitors, Session AI helped the retailer drive a 20.2% average lift in revenue per visitor.