Premium Fitness Club Chain
Predicting Cancellations for Improved Customer Retention
Challenge + Opportunity
Our client wanted to identify customers at risk of churn and the factors driving individual and family membership cancellations.
Solution Highlights
We trained machine learning models for both membership account types using a combination of demographic and behavioral data elements, and an automated pipeline now identifies a weekly list of at-risk members for each location.
Key Benefits
Our model accurately identifies 94% of cancellations, providing insight into member demographics likely to churn and club features most likely to retain members.
