Case Study: Global Bookmaking Company reduces churn by 10% with BizAcuity’s iGaming analytics and ML churn prediction

Global Bookmaking Company cuts player churn 10% with BizAcuity

The client, a globally recognized iGaming operator, faced high player churn rates and an inability to identify high-value players early. They needed a scalable, predictive solution to integrate analytics into their CRM workflows. BizAcuity was engaged to address these challenges with a machine learning-based service.

BizAcuity implemented a churn prediction framework using iGaming analytics and machine learning. This solution identified at-risk players and integrated the predictions directly into the client's CRM. The results included a 10% reduction in player churn and a 5% increase in average player value, achieved through timely interventions and early VIP identification.