AI-Driven Predictive Analytics for Marketing Campaigns

Abstract

The use of Machine Learning Algorithms is investigation on enhancement of marketing campaign's predictive analytics using Customer Lifetime Value (CLV) prediction models. CLV is an important key metric both for thriving businesses to identify what are their most valuable customers and optimizing communications to these claims. A machine learning method we use to research customer data for their behaviour patterns and Making a prediction of value after a specific period of time is known as random forest regression. It discovers important patterns of client loyalty and expenditure behavior based on previous transaction records and person specific statistics and customer interaction indicators. This predictive tool is integrated into a marketing strategy which enables organizations to utilize their resources efficiently while offering specific offers on a basis of valuable customers, more to raise the rates of customer retention. Predictive analytics analytics with machine learning capabilities is studied in the research, and resulting from it, the better business ones leads to higher marketing ROI with improved customer satisfaction levels and loyalty rates. This provides realistic knowledge that can be applied to make future building marketing campaign plans.