BUSINESS PROBLEM: CREDIT CARD ATTRITION

DenizBank currently has 3 different type of credit card, A, B and C, for the Individual customer group.

Attrition (customer stops using the product) rates for the last 12 months of these 3 credit card type are given below. For the B credit card, there has been a significant increase in attrition rates in the last 3 months.

It's necessary to determine the causes of the situation and take different actions for different reasons by using current customer data for preventing this increase as soon as possible.

Accordingly, share your solution approach with 5-6 slides presentation addressing the following topics.

1. What could be the reasons for the increase for the B card type attrition rate?

2. What analytical models can be created to predict and prevent these causes?

3. What are the data fields required to create these analytical models?

4. What conclusions can be drawn by applying these analytical models? What are the example marketing actions that can be suggested in line with these results?

Monthly Attrition Ratio for Credit Cards % 4,4% 4,5% 4,2% 4,2% 3,7% 3,8% 3,9% 3,7% 3,5% 3,6% 3,4% 3,3% 3,4% 3,3% 3,5% 3,3%3,0% 3,1% 3,2% 2,9% 2,8% 3,4% 3,1% 3,4% 3,2% 3,1% 3,2% 2,8% 2,9% 3,0% 2,9% 2,9% 2,7% 2,5% 2,6% 2,0% May'20 July 20 August 20 April 20 September 20 June 20 November 20 January 21 March 21 October 20 February 21 December 20 A B C Monthly Attrition Ratio for Credit Cards % 4,4% 4,5% 4,2% 4,2% 3,7% 3,8% 3,9% 3,7% 3,5% 3,6% 3,4% 3,3% 3,4% 3,3% 3,5% 3,3%3,0% 3,1% 3,2% 2,9% 2,8% 3,4% 3,1% 3,4% 3,2% 3,1% 3,2% 2,8% 2,9% 3,0% 2,9% 2,9% 2,7% 2,5% 2,6% 2,0% May'20 July 20 August 20 April 20 September 20 June 20 November 20 January 21 March 21 October 20 February 21 December 20 A B C