Leveraging Predictive Analytics to Improve Member Retention Rates at Aetna
11AM PST / 12PM MST
Health Plans are challenged by member churn and aspire to minimize this by improving their member retention rates. The customer experience team at Aetna Senior Supplemental Insurance (a CVS Health company) analyzed member data to look at factors contributing to member churn and leveraged predictive analytics to suggest product and service changes to improve their customer retention.
In this webinar, we will discuss how Aetna leveraged self-service descriptive and predictive analytics using the Alteryx Platform to improve customer retention by 5-10% annually, reduce the time taken to compile an external mailing list from 3 days to 5 minutes thru analytics process automation, and also deploy spatial analytics to understand the implications of member proximities to their representatives.
In this webinar you will learn how Aetna:
- Leveraged self-service predictive analytics capabilities from Alteryx to monitor, measure and analyze their membership data and improve their customer retention rates 5-10%
- Automated their mailing lists via Alteryx workflows to eliminate the manual work involved, from 3 days down to 5 minutes
- Employed predictive spatial analytics capabilities to explore the implications of member proximities