Client:

A leading global telecommunications company

Challenge:

The client was experiencing high customer churn rates and needed to identify the root causes and implement strategies to retain customers.

Solution:

Our team conducted a comprehensive data analysis to identify key factors contributing to customer churn, including pricing, service quality, and customer satisfaction. We developed predictive models to forecast churn risk and implemented targeted retention campaigns to address the identified issues.

Results:

Through our data-driven approach, we successfully reduced customer churn by 38% and increased customer lifetime value.