RetentionCurve AI

Predict subscription churn with survival modeling and intervention scoring

Data & AnalyticsPaid

RetentionCurve AI predicts subscription churn probability for individual customers using survival analysis models trained on behavioral features, engagement patterns, support interactions, and billing history. The tool generates churn risk scores with time horizons, identifies the behavioral indicators most predictive of churn for each customer segment, and scores the expected impact of retention interventions like discounts, feature unlocks, and outreach. Subscription business teams use it to allocate retention spend to customers where intervention has the highest expected ROI.

Key Features

• ✓Individual churn scoring
• ✓Behavioral feature importance
• ✓Intervention ROI estimation
• ✓Time horizon prediction
• ✓Segment-specific indicators