WEBINAR: Reduce Member Churn: Using (Einstein) Predictive Analytics to Anticipate and Avoid Membership Renewal Risk


Join us as on Monday, December 14th (12:30pm PT / 3:30pm ET) we discuss and illustrate how data science and predictive models can be used to anticipate and prevent member churn for maximum retention and growth. We will demonstrate use of custom prediction model building with Einstein Prediction Builder to identify member risk at both the aggregate and granular level, with recommended action plans to increase the likelihood of member renewal.

Attendees will be able to:

– Understand the basics of predictive modeling
– Evaluate which factors have the highest impact on member renewal
– Implement the data mining process within their organization

Webinar Registration

Please register in advance. The webinar will be recorded and shared.