Retention rate of customers in banks using neural networks

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Abstract

Customer retention is the process of retaining the customers after a particular period of time. Profitability of a product depends upon the retention of the customer. In the earlier systems a lot of money, time and resources were spent on advertising by banks. Banks approached call centres to try convince the customers in buying new policies. This didn’t really work since most of it was directed towards untargeted customers. This same problem of customer retention is studied and a competent solution is found. This system consists of analysed data of a number of customers in numerous fields and checks the retaining rate of every customer. Use of a neural network is advocated to check past conditions of services provided to a customer by the banks and a common retainability index is produced which predicts the retention rate of the new customers.

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Feiroz Khan, T. H., Mhaske, S., Yeshwantrao, S., & Kumar, A. (2019). Retention rate of customers in banks using neural networks. International Journal of Engineering and Advanced Technology, 9(1), 4883–4885. https://doi.org/10.35940/ijeat.A1932.109119

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