Case Study: Major Department Store Chain achieves $52M incremental revenue with Session AI

Major Department Store Chain Boosts Revenue With Next-Gen Social Proof Strategies

Major Department Store Chain faced fluctuating demand driven by events, weather and regional trends and needed to move beyond static personas and stored data to influence shoppers in the moment. To address this, the retailer partnered with Session AI and sought a solution that would augment enterprise data with in-session and third‑party signals so social proof could be surfaced in real time while customers browsed product detail pages.

Session AI deployed its Intelligent Customer Engagement Product Urgency template to capture real‑time views, purchases and inventory, display dynamic social‑proof badges on PDPs, and tailor messages by ZIP, weather or local events. After a quick tag deployment and ML‑driven configuration, the experience increased urgency and conversions across the site, generating $52M in incremental revenue by proactively showing what’s trending and how many others were viewing or buying an item.