Return to page

Case Studies

Preventing Customer Churn using Real-time Predictions


"I trained and scored on the entire data set, not a sample, and it was orders of magnitue faster than other tools. Kudos to H2O."

Julian Bharadwaj
Senior Data Scientist

    Use Cases

    Customer Churn

      Overview of the Challenge

      When a customer has a poor experience they can stop doing business through Paypal. Unfortunately, Paypal could not see that things had gone bad until it was too late. To get ahead of customer churn, the data science team needed to develop models using a variety of data that would predict customer churn and allow the company to quickly take action to re-engage the customer.