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Devising and Executing a Customer Cohort Analysis for Retail Industry

This case study showcases the implementation of Customer Cohort Analysis Retail for a leading Middle Eastern retailer. The project leveraged Retail Data Insights and Analytics solutions to gain a deeper understanding of customer behaviour and drive strategic decision-making. By employing Advanced Analytics for Retail, we helped the client overcome challenges in data management, customer […]
  • category
    Category

    Retail

  • services
    Services

    Advanced Analytics

  • date
    Date

    25 Dec, 2023

  • location
    Location

    Middle East

Devising and Executing a Customer Cohort Analysis for Retail Industry

25%

increase in 60-day repurchase rate through targeted campaigns.

15%

reduction in churn rate using data-driven mitigation strategies.

20%

 improvement in lifetime Value (LTV) for active customers.

Introduction

This case study showcases the implementation of Customer Cohort Analysis Retail for a leading Middle Eastern retailer. The project leveraged Retail Data Insights and Analytics solutions to gain a deeper understanding of customer behaviour and drive strategic decision-making. By employing Advanced Analytics for Retail, we helped the client overcome challenges in data management, customer segmentation, and retention strategies.

The Cohort Analysis for Retail Industry provided valuable insights into customer purchasing patterns, enabling the development of targeted marketing campaigns and improved product offerings. This project demonstrates the power of Retail Performance Analytics in transforming raw data into actionable insights, ultimately leading to improved customer retention, increased loyalty, and business growth.

Challenge

  • Limited access to relevant customer data scattered across silos.
  • Inconsistent data quality and difficulty in aggregating and cleaning data.
  • Defining meaningful cohorts and appropriate segmentation criteria.
  • Analysing complex customer behaviour patterns across different cohorts.
  • Implementing effective churn mitigation strategies based on Retail Data Cohort Insights.

Solution

  • Developed comprehensive Customer Behaviour Analysis in Retail using advanced cohort analysis techniques.
  • Created a centralised data warehouse to consolidate and clean data from various sources.
  • Implemented Retail Performance Analytics dashboards for easy visualisation of key metrics.
  • Designed custom cohorts based on customer type, purchase frequency, and LTV.
  • Utilised Retail Data Insights and Analytics solutions to inform targeted marketing campaigns and retention strategies.
The solution included a sophisticated dashboard that provided insights on:
  • Business unit performance
  • LTV by customer cohort and customer type
  • Orders by customer cohort and customer type
  • Total customers and churn rate
  • 30, 60, and 90-day repurchase rates
  • Repurchase rate by cohort year
  • Net Merchandise Value (NMV) by customer cohort and type

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