RetentionCurve

Model and forecast user retention curves with behavioral covariate analysis

Analytics AIPaid

RetentionCurve fits parametric retention models—exponential, power law, shifted beta-geometric—to observed retention data and forecasts long-term retention trajectories for cohorts still maturing. The tool identifies behavioral covariates that significantly predict retention differences and simulates the retention impact of improving specific activation metrics. Subscription businesses use it to forecast long-term subscriber counts from early cohort data while product teams use it to quantify the retention impact of onboarding improvements.

Key Features

• ✓Parametric modeling
• ✓Trajectory forecasting
• ✓Covariate analysis
• ✓Impact simulation
• ✓Early cohort projection