One of the most crucial skills of a data scientist is not only to be able to build an accurate predictive algorithm but to suggest a set of actions based on that to enhance the goal ratios.
I have build a churn rate predictor for a retail APP which accuracy after testing is about 90%. So now that I know with high accuracy which users will churn out of the APP in the next days, what can I do to try to retain them. Thinking in the overall APP environment the only idea that comes to my mind is:
- Push notifications. CRM, use a recommender system to send push notifications based on users profile and micro-moments.