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Identify customers at risk of churning based on usage data.
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Review this customer usage data from the past 90 days. Identify any customers who may be at risk of churning based on usage drop, login frequency, or support interactions. Summarize the findings in a table with columns: Customer Name | Risk Factor | Notes.
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Churn
Analysis
Risk
Model Compatibility
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