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Predictive Churn Scoring
Behavioral signals analyzed include:
Declining bet frequency
Reduced stake sizes
Decline in platform session engagement
Market abandonment
Qualitative engagement creates platform stickiness
Each player is assigned a dynamic churn risk score.
Early identification of at-risk players
Automated or manual intervention strategies
Retention offers matched to churn severity
Reduced reliance on reactive win-back campaigns
Clear dashboard reporting
Churn thresholds are fully configurable, allowing operators to balance intervention cost against expected lifetime value.