Recurly Launches Machine Learning-Powered Revenue Optimization Engine - Retail TouchPoints

Repair failed transactions: Using machine learning to craft an optimal retry schedule tailored to each individual declined transaction, resolving credit and debit card payment issues more quickly. Minimize involuntary churn: When not managed appropriately, declined transactions can lead to involuntary subscriber churn, which can cause otherwise-satisfied subscribers to be lost. The engine can help subscription businesses minimize involuntary churn by resolving a greater number of declined transactions in a shorter amount of time. Streamline the customer experience: The Revenue Optimization Engine reduces the number of emails, texts or alerts asking subscribers to update billing info or resolve a problem with their payment. This allows subscription businesses to focus on subscriber satisfaction efforts rather than payment questions.