Customer Churn Analysis for PhoneNow

2024 Category: Customer Analytics

Overview

PhoneNow, a telecommunications company, was experiencing high customer churn rates and needed to understand the factors driving customer attrition. I developed a comprehensive Power BI dashboard that analyzed customer behavior patterns, identified at-risk customers, and provided actionable insights to improve retention strategies.

Key Features

  • Customer segmentation based on churn risk factors
  • Interactive visualizations of churn patterns and trends
  • Real-time monitoring of key churn indicators
  • Customer lifetime value analysis
  • Predictive analytics for identifying at-risk customers

Technical Implementation

The dashboard was built using:

  • Power BI for data visualization and analysis
  • DAX for complex calculations and measures
  • SQL for data extraction and transformation
  • Advanced filtering and drill-through capabilities
  • Automated data refresh and scheduling

Impact

  • Enabled the retention department to identify at-risk customers before they churn
  • Provided data-driven insights to improve customer retention strategies for all customer segments
  • Helped reduce customer churn rates through targeted intervention
  • Improved customer satisfaction through better understanding of pain points