A major broadcast media company with millions of digital customers struggled to reduce churn despite having extensive customer data. Lacking a clear strategy to leverage these insights, the company faced challenges in retaining subscribers and driving engagement. We implemented a comprehensive data strategy that transformed how the company analyzed customer behavior, deployed personalized retention efforts, and reduced churn. By integrating customer data from multiple channels, building a scalable data warehouse, and deploying an advanced churn prediction model, the company was able to take timely, targeted actions to retain subscribers and improve engagement, benefiting data scientists, marketing teams, and external partners.

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