Description
Predictive Customer Retention uses machine learning algorithms to identify customers who are at risk of churning and recommends targeted retention strategies. This use case leverages data from CRM systems, customer interactions, purchase histories, and other relevant data points to build predictive models that highlight patterns and signals associated with potential customer churn. With these insights, businesses can proactively engage at-risk customers with personalized strategies designed to retain their loyalty and minimize churn rates.
