Express Analytics’ churn prediction model uses customer behavior, usage, transaction, subscription, and engagement data to identify customers who are likely to churn.

Machine learning models assign churn risk scores and surface the signals behind customer attrition, helping marketing, product, and customer success teams prioritize high-value accounts and take timely retention actions. By turning churn risk into actionable insights, businesses can improve customer retention, protect revenue, and increase customer lifetime value.