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

Dec 14, 2020 12:30 PM in Pacific Time (US and Canada)

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