End-to-end churn prediction model. It is a common true that acquiring a new customer usually costs higher than retaining the old one. The companies are interested in identifying segments of customers whose interest goes down and proactively engage them with special offers instead of losing them. Early churn prediction is a main concern of every subscription business. It is necessary to detect the first signs of customers’ behavior change before the point of unreturn.

Our team developed an early churn prediction model. It evaluates customer activities to elicit patterns of usual customer behavior. Once the customers behavioral pattern changes – it gives us a probability, churn score for a particular customer. Based on customer’s interests we allocate him in a group with similar demands and propose a relevant offer to retain him.