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Case Study: Analyzing Customer Churn in Excel
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Korshub's take
The Korshub Take
This hands-on Excel case study focuses on solving customer churn—one of the most vital metrics for subscription businesses. Working with a realistic dataset from fictional telecom provider Databel, you will construct calculated columns, aggregate data using PivotTables, and build an executive dashboard to pinpoint root causes of customer attrition.
Who It\'s For
Excel users, business analysts, and customer success specialists who want to apply practical spreadsheet analytics to solve real-world churn challenges.
Key Takeaways
- Churn Rate Calculation: Calculate overall and cohort-specific churn metrics using advanced Excel formulas and functions.
- PivotTable Analysis: Summarize demographic, contractual, and usage data with PivotTables to uncover churn risk factors.
- Customer Insight Segmentation: Categorize customers into risk buckets based on tenure, contract type, and service usage.
- Interactive Excel Dashboard: Combine charts and key metrics into a clear, visually compelling Excel dashboard for management.
About this course
Are you ready to apply your Excel skills to a fictitious dataset?
Apply your Excel Skills with a Case Study
For subscription-based businesses, reducing customer churn is a top priority. In this Excel case study, you'll investigate a dataset from an example telecom company, Databel, and analyze their churn rates.Understand why customers churn
Analyzing churn doesn’t just mean knowing the churn rate: it’s also about figuring out why customers are churning at the rate they are and how to reduce churn. You'll answer these questions by creating calculated columns and fields, building PivotTables, and creating an eye-catching dashboard.Advertisement