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Case Study – Customer Churn Prediction

Industry

Apparel Retail Group

Function

Customer Analytics

Business Challenge

A major fashion retailer in the Middle East with over 50 stores in the UAE faced high customer attrition. A campaign-based program was needed to reduce churn among core customers essential to the business.

Project Objective

  • Reduce customer attrition through targeted campaign interventions.
  • Identify and retain key customers crucial to the business.

Approach & Solution

  • Developed a churn prediction model to identify customers with varying propensities to churn.
  • Segmented customers based on their likelihood to churn and their future spending potential.
  • Designed and executed targeted campaigns throughout the year, offering tailored incentives to high-risk, high-value customers.

Project Outcome

  • Transaction counts and revenue increased above average during each campaign intervention.
  • Regained a significant number of customers who were predicted to churn, resulting in cumulative spend in the millions.
  • Achieved over 5% response rate from churned customers, generating substantial revenue from previously inactive accounts.

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