Audiobooks.com Leverages AI to Predict and Reduce Customer Churn

The churn prediction model built by Provectus enabled Audiobooks.com to predict churning customers, reduce attrition rate, and improve CPC for selected audiobook titles. The model helped them to segment and target users more accurately, thus improving engagement, optimizing costs, driving more value for clients, and creating a more robust bottom line. The model allowed Audiobooks.com to analyze the specific reasons customers were about to churn, helping them devise strategies to efficiently counter attrition through personalized offerings, bonus programs, and other incentives. The model’s output streamlined manual marketing effort to reduce churn, making it possible for them not to spam users while also delivering the correct messaging at the right time. With the help of its new, highly accurate churn prediction model, Audiobooks.com managed to significantly reduce their monthly churn rate. The reduction in churn had an almost immediate impact on Cost per Circulation, book checkouts, and LTV, all of which strengthened their position in the digital content market.

Significant reduction in customer churn rate

95% accuracy of churn prediction model

Proof of Concept completed and deployed in 5 weeks