Which retail data analytics innovation was specifically designed to predict customer churn by analyzing purchase frequency patterns and is credited with increasing retention rates by an average of 23% for early adopters?

In today's competitive retail landscape, companies are leveraging sophisticated data analytics to predict customer behavior and reduce churn. Understanding the technological innovations that drive these predictive models can give businesses a significant advantage. This trivia question explores one of the most transformative developments in retail data analytics that has changed how companies approach customer retention strategies.

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