Describe how you would use predictive analytics to identify at-risk customers before signs of churn appear.

Very hard difficulty

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Situational question

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Here's a hint

Think about the different data sources and behaviors that could indicate a customer's likelihood to churn, even before clear signs emerge. Focus on how you would collect, analyze, and use that data proactively.

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