Customer-Churn-in-Retail banner
Customer-Churn-in-Retail mbanner

Home > Nia > Case Studies > Customer Churn in Retail


An online retailer with over $100M in revenue and 19 million opt-in registrants had lots of customers disengaging after the initial sign-up. They could not identify a clear reason for this passive customer churn via the lack of engagement. Their in-house system used analytics and off-the-shelf statistics but no machine learning.


We developed an advanced analytics solution that not only provided churn prediction, but also identified the variables that most reliably contribute to an accurate prediction. This gave the customer insight into why their customers were disengaging, which in turn allowed them to take action to improve retention. The result was a large reduction in churn combined with a large predicted revenue increase.


  • Churn reduced by 55% – 68%

  • Predicted revenue increase of 200 – 400%

  • Insight into reasons for churn enables corrective action

  • Identify which members are likely to churn

Case Studies

Real-Time-Fraud-Detection cs banner

Real-Time Fraud Detection

A major global financial company was looking to detect fraudulent transactions in real time. They were looking to block these transactions or notify the customers immediately, thereby avoiding the...

Customer-Acquisition-cs thumb

Customer Acquisition Via Micro-Targeting

A Fortune 100 financial customer was looking to do a micro-targeting marketing application to extend high end credit card offers to high net-worth individuals. They were using a legacy...

Recommendation cs thumb


A leading handset manufacture was looking to monetize content delivery and built out a mobile video streaming service. They wanted to promote additional sales/rental of movies and wanted to...