Case Study 2 : Propensity modeling
For a mid size Bank
01
Client
The client is a mid size private sector bank in India with more than half a million savings and current account holders. The Client has various products in Assets and liabilities with a mix of vintaged and new clients Client wishes to ring fence its existing customer by identifying customers prone to leaving the bank
02
Problem
Client had a set of wallet customers to whom they wanted to sell the core banking products. The problem statement was to identify the high propensity customers who can buy core banking products of bank
03
Solution
G-Square analysed the demographics, buying pattern of customers through wallet. Using these factors, G-Square developed a robust propensity Model using various predictive modelling techniques and machine learning algorithms.
04
Outcome
G-Square’s productified solution is now implemented and is being used to target high propensity customers for cross selling the core banking products.