An interactive business intelligence dashboard designed to analyze customer churn patterns, segment customer groups, identify churn drivers, and provide actionable retention insights for European banking institutions.
Customer churn remains one of the most critical challenges in the banking sector. Acquiring new customers is significantly more expensive than retaining existing ones. This project focuses on analyzing customer demographics, engagement behavior, financial attributes, and product usage to understand churn patterns and identify high-risk customer segments.
Banks often experience customer attrition due to dissatisfaction, low engagement, competitive offerings, or changing financial needs. Without proper segmentation and monitoring, identifying churn-prone customers becomes difficult.
Customers were categorized into multiple business-relevant segments to understand churn behavior across different customer profiles.
Examined customer populations across Geography, Gender, Age Groups, Product Holdings, Credit Card Status, Salary Ranges, and Tenure.
Calculated churn rates across all customer segments to identify high-risk populations and churn concentration patterns.
Investigated factors contributing to customer attrition including engagement levels, product adoption, account balance, geography, age profile, and customer value.
Evaluated relationships between customer activity levels, product ownership, tenure, and retention outcomes.
The dashboard transforms raw customer data into actionable business intelligence, enabling stakeholders to identify churn-prone segments, understand customer behavior, evaluate engagement effectiveness, and support strategic retention initiatives. Through interactive filtering and drill-down analytics, decision-makers can quickly explore customer trends and uncover hidden churn risks across multiple dimensions.