Predicting Recurring Transaction Success

A few months ago, we laid out Recurly’s approach to optimizing subscription billing using machine learning. Today, we have a follow-up with more details about our approach, answers to common questions, and discussion about the improvements we’re gaining for our customers.

Continue Reading

Improve Transaction Success Rates and Reduce Churn With Recurly’s Revenue Optimization Engine

Every subscription business encounters credit card declines. These declines increase churn, reduce your revenue, and can negatively impact your subscriber relationships. But, with the right subscription management platform, you can minimize their impact.

Recurly has the advantage of working with thousands of subscription businesses which come from a wide range of industries. Many of these are ‘high-velocity’ businesses with large subscriber bases generating high transaction volumes annually. This gives us access to hundreds of millions of data points that encompass billions of attributes from many different types of companies in both B2B and B2C categories.

Continue Reading

Using Machine Learning to Optimize Subscription Billing

As a data scientist at Recurly, my job is to use the vast amount of data that we have collected to build products that make subscription businesses more successful. One way to think about data science at Recurly is as an extended R&D department for our customers. We use a variety of tools and techniques, attack problems big and small, but at the end of the day, our goal is to put all of Recurly’s expertise to work in service of your business.

Continue Reading

Ready to Get Started?

Request a Demo