User churn is something we all want to avoid, but we first need to understand the origins of churn and its impact on profit.

In this session, we will go beyond dashboards and show you how to model churn, forecast lifetime value, and optimize monetization strategy using real behavioral data.

We will work with a realistic dataset from a music streaming app, with variables such as Free vs Premium, ad exposure, listening time, skip rate, and of course, churn. You’ll learn how to build a practical, data-driven framework for pinpointing your most loyal cohorts, simulate the tipping points between retention and monetization, and identify exactly where profit is maximized without pushing users away.

We'll also open the floor for questions, and if time permits, we’ll analyze a few requests or use cases from the audience live during the session.

Who should attend:

Product managers, growth leads, data analysts, and teams working on monetization, retention, or embedded analytics in consumer apps and SaaS.

Save your seat and start telling better stories with your data.