Customer Churn Dataset for Retention Analysis

Customer behavior records and churn labels are the primary categories provided for machine learning. This dataset enables retention analysis by mapping behavioral metrics to specific churn outcomes.

Use Cases

• Train classification models using the churn labels to predict customer attrition
• Analyze customer behavior features to identify drivers of churn
• Develop retention analysis models based on behavioral data

Strengths

• Includes churn labels for supervised learning tasks
• Contains customer behavior data points
• Structured for retention analysis applications