Better Predict At-Risk Customers to Reduce Churn and Improve the Customer Experience
Customer Success teams are often the hub for all customer lifecycle data, but how do they successfully analyze all that data while avoiding information overload? Through pattern recognition analysis, ChurnZero’s Success Insights predicts the likelihood of customer churn as well as its contributing factors. Armed with this data, customer teams can proactively engage clients with a better understanding of their needs, predict outcomes sooner, and create personalized experiences at scale.
How does it work?
Success Insights is a customer data analytics tool powered by machine learning algorithms that use existing customer data to uncover hidden factors that correlate with churn. With the patterns recognized, Success Insights categorizes your customers into risk levels, identifies which accounts require immediate engagement, and flags upcoming renewal dates so customer teams can accurately prioritize urgent accounts without guesswork.