Author Archive: Vineet Joshi

Research Gives Insights on Recurring Invoice Recoveries Over Several Segments

In a previous blog, we talked about how Recurly’s machine learning models help recover recurring invoices which initially failed and had entered the dunning process. Today, we want to share some analysis on the recovery rate for such invoices. Knowing what recovery rates are typical for your business allows you to analyze the effectiveness of your dunning strategy and make improvements as necessary.

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Revenue Optimization Engine’s New Machine Learning Model Improves Prediction Accuracy

In a previous blog post, we talked about how Recurly uses machine learning to optimize subscription billing for our customers and prevent involuntary churn. As part of our goal to help our customers maximize their subscription revenue, we introduced the Revenue Optimization Engine in 2018. When a recurring transaction fails, this technology creates a customized retry schedule, so subsequent retries of that transaction have a higher chance of succeeding. This technology is driven by machine learning which relies on models based on Recurly’s incredible breadth of historical subscription data which identifies factors that are highly correlated with successful transaction processing.

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