Case Study: a leading multi-brand retailer boosts revenue from anonymous visitors with Session AI

Multi-Brand Retailer Increases Revenue From Anonymous Visitors

a leading multi-brand retailer was struggling with sitewide promotions that diluted its brands and eroded profit margins, and it needed a smarter way to decide when to show offers. It turned to Session AI and its in-session marketing platform to better understand anonymous visitors and deliver more strategic promotions.

Using Session AI’s patented intelligence models, the retailer predicted which visitors were likely to respond to a real-time offer, which should receive a follow-up coupon, and which were likely to buy without any discount. Session AI helped the retailer unlock new segments across web and mobile web traffic, improve conversion rates across a dozen use cases, and achieve a 12X ROI in the first year, along with a 4%–15% average lift in revenue per visitor.