Case Study

Customer Revenue Analysis

Extract insights about customer behavior from transaction-level data

By Vic Anand

Published

Two hands counting piles of coins

About this case study

  • Learn how to extract insights about customer behavior from transaction-level data.
  • Understand how histograms and plots of the cumulative distribution function (CDF) can summarize customer behavior.
  • Create a histogram and CDF that show the distribution of revenue per customer.
  • Create a histogram and CDF that show the distribution of number of visits per customer per year.
  • Interpret the graphs and provide insights that a business manager or executive without using technical jargon.
  • Practice cleaning and filtering data.

Author

How to cite

"Customer Revenue Analysis" by Vic Anand. University of Illinois-Deloitte Foundation Center for Business Emerging Technologies. https://emergingtech.giesbusiness.illinois.edu/distributed-content/customer-revenue-analysis/. Licensed under CC BY-NC-SA 4.0.

Materials are shared under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license.

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University of Illinois-Deloitte Foundation Center for Business Emerging Technologies
Champaign, IL 61820
Email: EmergingTech@business.illinois.edu
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