CASE STUDY · CUSTOMER ANALYTICS
Customer Retention Intelligence
An interactive customer analytics dashboard designed to uncover churn patterns, identify higher-risk customer segments, and make retention behavior easier to understand.
Making churn patterns visible and actionable.
The analysis explores how contract type, tenure, internet service, and support usage relate to churn, combining KPI tracking, segmentation, risk analysis, driver exploration, and interactive filtering across 7,043 customer records.
The dashboard keeps observed patterns separate from causal claims and supports deeper investigation through interactive views.
Customers7,043
Churned1,869
Churn rate26.54%
