Reduce churn and maximize subscription revenue with machine learning

Presented by

Emma Clark, Sr Product Manager, Recurly

About this talk

Subscription businesses can lose the happiest of subscribers because of involuntary churn—that deadly form of attrition that comes from card declines and invoice failures. Even slight variations in a subscription business’ churn rate can have significant impact on revenues, so it’s critical to address involuntary churn -- and easier than ever. The latest subscription technology leverages machine learning, which can improve transaction success rates and billing continuity, helping automatically reduce involuntary churn and boost monthly recurring revenue by an average of 9 percent. Want to know more about how subscription businesses are making a positive impact on revenue? How can you optimize decline management and revenue recovery strategies based on your own unique business needs? Join our latest VB Live event and you’ll learn how to start and where, plus get a first look at the latest Revenue Recovery Benchmarks, which reveal the powerful impact of machine learning. Don’t miss out! Registration is free. In this webinar, you’ll learn... * The power of dynamic retry logic, optimized for each individual invoice * The incremental lift that a well-designed dunning strategy can have on revenue * The key metrics every subscription business should understand to prevent churn * How to develop a comprehensive decline management and revenue recovery plan using proven strategies for successful transactions. Speakers: * Emma Clark, Director of Product, Recurly * Devin Brady, Data Scientist, Recurly * Stewart Rogers, Analyst-at-Large, VentureBeat * Rachael Brownell, Moderator, VentureBeat Sponsored by Recurly

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