Performance Analysis of Marketing Campaign with Customer Profile Using Machine Learning

The purpose of the data pipeline is to help the financial institution to provide better service to their clients by enhancing their user experience and to boost the conversion rates of the customer. This can be done by reducing the customer acquisition cost. Since the banking sector previously made same schemes and plans for the wide range of customers to reduce the acquisition cost and better service. So introducing personalized marketing can prove to be ground breaking and take the bank to the new heights in terms of customer satisfaction as well as making huge profits. Bank can learn about the customer from the social media data, customer profile, and customer transaction data and keep a track of their life events. This will help the bank to customize the plans according to the user and its needs. The bank should also release focus on seasonal marketing and release exciting offers to attract new customers to join with them. It should also focus on the feedbacks from the customer to keep improving their service so that they can retain their present customers while focusing on the new customers.