Customer Churn Analytics


Problem Statement

Customer churn is a serious issue where customers avail the services before they pay such as in banking, telecommunications and cable service providers etc.


Develop a reliable model to prepare a list of customers who seem likely to escape from the service provider without payment for the services.

Our Detailed Approach

The following phases of OSEMN Framework has been involved to develop the predictive model:

  • Obtain
  • Scrub
  • Explore
  • Model
  • Interpretation

Actionable Insight

  • Prevent revenue loss.
  • Know who is at risk.
  • Gives you insights to analyze why churn occurs.
  • Engage with your customers whoever comes under churn prediction result.
  • Offer incentives such as discounts and special offers, to those customers who were identified as likely to defect.