Better churn prediction —part 2

Better Churn Prediction — using survival analysis

Answering the “when” question

On a previous post I made the case that survival analysis is essential for better churn prediction. My main argument was that churn is not a question of “who” but rather of “when”.

In the “when” question we ask when will a subscriber churn? Put differently how long does a subscriber stay subscribed on average? We can then answer one of the most …

churn machine learning part prediction statistics survival-analysis