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Business Impact

  • 2.7X

    Improvement over client’s current leveraged model

Customer Key Facts

  • Rank : Fortune 500
  • Location : Columbus, Georgia
  • Industry : Insurance

Problem Context

The client is the largest provider of supplemental insurance in the United States, providing financial protection to more than 50 million people worldwide. They wanted to identify the customer groups that have a higher chance to churn and better understand the reasons behind this higher risk of churn and levers they can pull to mitigate the risk of defection.

Challenges

  • Only two years of data made the train and test split difficult
  • Very few independent metrics available to capture trends or take a top down approach
  • Dataset available was highly imbalanced
Challenges

Technologies Used

R-Studio
EC2
Apache Zeppelin
RDS

Identifying Customer Groups That Are Highly Likely to Churn and Potential Reasons Behind the Churn

Solution

Quantiphi created a model that outperformed client’s existing model in identifying the customer groups that are at a high risk of churning out and also suggested interpretable reasons behind the same.

Result

  • Enabled developing an action list for the business to prevent loss of customer groups and potential acceleration of business growth by providing intuitive recommendations

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