Why the Future of Churn Prevention Is Experimentation, Not Prediction

About the Webinar

Many organizations have invested heavily in predicting churn. Far fewer have built systems that learn which interventions work.

Join us to explore why the next frontier of churn prevention isn’t predictive analytics, but rather continuous decision optimization. We'll discuss why traditional churn programs often over-rely on risk scores and discounts, how uplift modeling helps identify customers who are truly persuadable, and why AI-enabled experimentation is the key to continuously improving retention outcomes.

You’’ll learn:

1. Why accurate churn prediction isn't enough. Continuous experimentation is the missing capability behind the highest-performing retention programs.
2. How to shift from predicting churn to optimizing interventions using uplift modeling, AI, and causal measurement to determine which actions actually change customer behavior.
3. How AI enables a closed-loop retention system that continuously learns the next best action for every customer.