Increasingly, CFOs and other business leaders are recognizing the many benefits of the subscription model—from predictable, compounding revenue to deep, long-term customer relationships. However, nothing jeopardizes subscription revenue faster than churn. Imagine if you could automatically repair a major factor in churn, involuntary churn due to failed payments?In this webinar, hosted by, you’ll hear from Recurly’s subscription billing experts as they reveal how data science can reduce involuntary churn and maximize subscription revenue. Specifically, you’ll learn how to:

  • Systematically resolve more credit card declines to recover more revenue, faster

  • Streamline collections and dunning communications, reducing subscriber friction

  • Optimize retry schedules and dunning cycles to gain access to cash sooner

  • Gain a competitive advantage with intelligent retry logic

Also, Recurly will share an in-depth case study on applying data science techniques to solving the problem of involuntary churn, including the key variables that have the greatest impact on subscription revenue.

Featured speakers: Devin Brady, Data Scientist Andrew Chapello, Product Manager

Date & Time: Wednesday, October 25, 2017 11am PT / 2pm ET