A Danish newspaper publisherChurn prevention in subscription products using Machine Learning
A Danish newspaper publisher wanted to reduce the subscription churn and establish an understanding of which factors and circumstances that lead to cancellations of subscriptions.
Implement helped develop a churn prediction model based on historical subscription data to predict future subscription churns.
The model was able to be integrated into the client’s IT system landscape while allowing for automatic retraining of the prediction model. When implemented, the model enabled churn predictions to become usable in both manual and automated workflows to proactively counteract subscription churns.
The machine learning model impacted the customer churn rate in their subscription products in the following ways:
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