Case Study: ShowroomPrive achieves 77% churn detection accuracy with Dataiku

How Showroomprivé has Diminished Churn Rates with Self Service Analytics

ShowroomPrive, a leading European e‑commerce site with over 20 million members, faced rising customer churn driven by one-size-fits-all static marketing rules and no individual customer qualification. To better anticipate and prevent churn, ShowroomPrive partnered with Dataiku and used Dataiku’s DSS to build a predictive churn‑prevention application that would identify customers at risk and enable targeted retention campaigns.

Using Dataiku DSS, ShowroomPrive automated integration and enrichment of customer, order, delivery and web log data, engineered 690+ features, and tested multiple machine‑learning models to productionize an in‑house churn prediction system. The Dataiku solution achieved 77% detection accuracy and an AUC of 0.819 on mono‑buyers, allowing ShowroomPrive to internalize R&D, predict customers’ future actions, and more effectively target retention efforts.

ShowroomPrive

Damien Garzilli

Strategy and Business Intelligence Manager