Identify at-risk customers showing inactivity, declining balances, and attrition signals before they leave. Recover lost deposits and rebuild engagement with precision targeting achieving 45% reactiva...
Join Waiting listIdentifies transaction gaps, zero-balance periods, and engagement decline patterns in customer transaction streams
Detects progressive balance reduction and validates against behavioral baselines flagging true attrition risk
Machine learning model predicts churn propensity using portfolio history and peer segment benchmarks
Evaluates customer recovery likelihood based on historical behavior and value metrics
Calculates potential balance recovery and engagement uplift for each flagged customer
Recommends targeted offers aligned with historical preferences and life events
Routes high-priority customers to relationship managers with engagement playbooks and recommended actions
Reactivates inactive customers through targeted interventions
Recovers declining balances and prevents churn through timely engagement - $28M annually
Improves CASA stability through prevented attrition
Enables teams to prioritize highest-value reactivation opportunities - 5X efficiency gain
Turn operational complexity into measurable performance gains.
