Beyond Gut Feeling: A Data-Driven Approach to Predicting Customer Retention

Session Abstract

Churn isn’t random; it’s driven by specific, measurable factors that most companies fail to identify. This session breaks down a data-driven framework for pinpointing the biggest drivers of retention and churn using statistical testing, automation, and machine learning. Learn how to predict customer risk, uncover which product features drive loyalty, and turn insights into action. Key Takeaways: Identify what truly drives retention—go beyond assumptions with real data. Better predict churn using validated indicators—spot risks before they escalate. Turn insights into action—build a scalable, automated retention strategy.