A churn score is useless if your CS team doesn’t know what to do with it. We use SHAP values to give per-user explanations.
The problem with black-box churn
Most churn models output a probability. “User 4821 has a 73% chance of churning.” So what? Your CS team needs to know why — so they can act.
SHAP explanations per user
We build every churn model with SHAP (SHapley Additive exPlanations) baked in. Each prediction comes with the top 3 factors driving that user’s risk score. Your CS team gets actionable intelligence, not just a number.