Challenge
The client was struggling to simultaneously identify the customers, who are the most critical churners while also sustaining the highest return on investment from marketing campaigns.
Solution
We first applied a logit model to understand what were the most impactful drivers of churn. Additionally, the effect of the drivers was quantified. Next, we used extreme gradient boosted trees as the approach for predicting the churn on an individual level.