Reduced Customer churn rate using Churn Analytics for a logistics vendor

Case Studies

Client background:  A leading 3PL solutions provider

Industry: Transportation & Logistics

Products/Services: Advanced Analytics

Business Challenge

  • Increasing customer churn rates

  • Understand factors leading to churn

  • Predict potential customers who are likely to churn

  • Roll out retention measures to keep customers with them and increase count of loyal customers

Business Solution

  • Gained understanding of churn objectives from the client’s perspective

  • Identified and extracted relevant attributes

  • Performed Exploratory data analysis to evaluate effect of data fields leading to customer churn

  • Built churn prediction model using Classification and Regression Tree (CART)

Business Benefits

  • The predictive churn model built attained 91% accuracy

  • Identified critical areas that sought more focus to reduce churn rate

  • Predicted customers who were about to defect

  • Rolled out proactive measures to reduce customer churn

  • Converted low-revenue customers into profitable ones

Environment

  • Tableau

  • R

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Contact Info

Saksoft Limited, SP Infocity, Block A, 2nd Floor, #40 Dr. MGR Salai, Kandanchavadi, Perungudi, Chennai - 600096, India

Phone: +91 44 2454 3500

Fax: +91 44 2454 3510

Web: www.saksoft.com

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