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An Excel-based customer churn analysis using raw data, cleaned tables, pivot tables, and a visual dashboard.

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Yochabelle/Customer-Churn-Analysis-Excel

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Customer Churn Analysis (Excel)

This project analyzes telecom customer churn using Excel. The workbook includes the raw dataset, cleaned tables, pivot tables, and a churn analysis dashboard built with pivot charts excel_dashboard/ Analyzing Customer churn.xlsx

documentation/ dashboard_notes.md

Key Questions Answered

  • Which contract type has the highest churn rate?
  • Do customers with higher monthly charges churn more?
  • Do customers with fewer subscribed services churn more?
  • Does payment method influence churn?
  • Are short-tenure (new) customers more likely to churn?
  • Which customer segments have the highest churn risk?

Insights Summary

  • Month-to-month customers churn the most.
  • Higher monthly charges correlate with higher churn.
  • Customers with fewer add-on services churn more.
  • Paper Check users churn at a higher rate.
  • New customers (low account length) have the highest churn probability.

Tools Used

  • Microsoft Excel
    • Pivot Tables
    • Pivot Charts
    • Basic data cleaning and transformation

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An Excel-based customer churn analysis using raw data, cleaned tables, pivot tables, and a visual dashboard.

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