Churn prediction solution powered by machine learning

Depending on which study you believe, and what industry you’re in, acquiring a new customer is anywhere from five to 25 times more expensive than retaining an existing one, which makes strategies built around churn and retention the most cost-efficient. Implementing a churn prediction solution that aims at identifying customers who are about to transfer their business to a competitor has emerged as an effective approach to customer churn prevention.

From the case study, you will learn how one of the major online sports betting companies got a better understanding of customer behavior and reduced customer churn after deploying InData Labs’ churn prediction solution powered by machine learning.

See how our customers benefit and get inspired for your next data science project.


Please complete the form to download the case study:

Be sure your information is safe with us, we hate spam too.