Case Study: Audiobooks.com reduces customer churn with Provectus AI-powered churn prediction

A Provectus Case Study

Preview of the Audiobooks.com Case Study

Audiobooks.com - Customer Case Study

Audiobooks.com, a flagship audio brand of RBmedia, wanted to improve Cost-per-Circulation and reduce customer churn on its audiobook platform. With a large catalog and subscription-based business model, the company needed a way to identify at-risk users early and take preventive action through more personalized engagement.

Provectus built an AI/ML churn prediction solution using Amazon SageMaker, Kubeflow Pipelines, Amazon EKS, Amazon EMR, and related data pipelines to process five years of user activity and churn history. The result was a deployable model with about 95% accuracy and 98–99% accuracy in some variants, delivered in just five weeks, helping Audiobooks.com significantly reduce churn, improve CPC, and better target users to increase engagement and customer lifetime value.


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