How Conversation Analytics Helps Predict and Prevent Customer Churn
Customer churn prediction uses historical behavioral, transactional, service, and conversational data to estimate which customers are likely to leave within a defined future period. The resulting risk score helps teams prioritize retention action before a customer reaches the point of no return. Conversation analytics strengthens that process by extracting signals from calls, chats, and emails […]