Analytics

Churn Modeling

Churn Modeling estimates each customer's risk of leaving, explains what is driving it, and turns at-risk customers into plays your team can run.

Mis à jour

Built for: Customer success, retention and commercial leaders.

What you can do

Score your customers

Upload a customer file with segment, tenure, contract value, satisfaction and driver columns, and known outcomes where you have them.

See the picture

Average retention score, predicted churn rate, value at risk, risk distribution and the top drivers.

Customer 360

Each customer’s retention score, churn probability, confidence, health pillars and history.

What-if analysis

See how a customer’s risk would change if a driver improved or declined.

Segments, cohorts and forecast

Risk by segment, driver trends over time, acquisition cohorts and a churn forecast.

Check the predictions

Compare predicted with observed churn for customers whose outcome is known, and let account managers confirm or correct a prediction.

Acting on risk

Create a save play directly from an at-risk customer, and follow the win rate of each play over time.

Works with