Customer Retention Analysis uses AI-driven models to proactively identify customers at risk of churning and uncover the reasons behind potential dissatisfaction.
It helps reduce customer churn, improves retention rates, enables targeted and personalized retention campaigns, provides actionable insights into churn drivers, and increases overall customer satisfaction and long-term loyalty.
Unlike traditional approaches that only track basic inactivity, this advanced method analyzes a wide array of behavioral, sentiment, and market factors, offering deep, actionable insights and enabling personalized, root-cause-focused retention strategies for maximum impact.