Case Study: Global Heavy Machinery and Equipment Manufacturing Company achieves $25M in prevented churn and ~85% churn-prediction accuracy with Evalueserve

Global Heavy Machinery and Equipment Manufacturing Company - Customer Case Study

Global Heavy Machinery and Equipment Manufacturing Company engaged Evalueserve to address rising dealer-level customer churn. The client struggled to distinguish controllable and uncontrollable drivers of churn across disparate data sets, preventing effective short- and long-term retention strategies; Evalueserve proposed a combination of driver analyses and customer lifetime value analysis supported by data management and predictive modeling services.

Evalueserve built a dealer-level data mart, segmented customers by spend patterns, and developed a predictive churn model (tested on one U.S. dealer and scalable to ~50 dealers) plus an action-item priority matrix and interactive dashboard. The final model achieved roughly 85% prediction accuracy, helped reduce churn and increase customer engagement, and identified an estimated $25 million in potential sales opportunities from churn prevention.