Case Study 3 : Customer Attrition analytics

For a large bank

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01

Client

The client is a large private sector bank in India with a significant savings and current account holders base. The Client has various products in Assets and liabilities with a mix of vintaged and new clients

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02

Problem

Client wishes to ring fence its existing customer by identifying customers prone to leaving the bank The client also wants to know if they are likely to attrite fully or may have product specific attrition.

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03

Solution

  • G-Square analysed the demographics, buying pattern & banking behaviour of customers and identified most important factors which affects the attrition of customers.
  • Using these factors, G-Square developed a robust Attrition analytics Model using various tools and models.
  • G-Square created the model keeping an overall attrition and a product level attrition.
  • ...

    04

    Outcome

    G-Square’s productified solution is now implemented and is being used to track the ‘high propensity to attrite’ customers. The focus is to create high engagement and right product strategy for the customers to do a win-back.

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