Given that it costs 5-10 times more to acquire a new customer than to retain an existing one, it seems obvious that all businesses should engage in some level of churn prevention.
Because of its business impact and its relative ease in execution, for many types of business, churn prediction is a great first project to tackle with machine learning and AI.
In this webinar, Vincent De Stoecklin, Customer Success Director at Dataiku, will:
> Explain how data science and machine learning can help leverage churn prevention
> Deep-dive into a churn prediction project (from design to production)
> and demo a churn analysis on Dataiku DSS.