Customer Lifetime Value Estimation IT Cooperation

Customer lifetime value (CLV) is an invaluable metric which plays a pivotal role in assessing the future worth of the customers and the profitability of them. To elaborate upon, CLV is an index so as to evaluate the potential as well as the practical worth of a wide variety of customers. So, it seems obvious that estimation of this metric in different cooperation, especially IT ones, can cause the organizations to identify the behaving trend of their customers so that the organizations can forecast their future purchase as well as the customers’ loyalty to their cooperation. Therefore, in this paper, we present a model in order to estimate the CLV in an IT cooperation. Hence, in the first step, we explain the concept of CLV metric, and its role in today’s customer analysis. Then, the next step has to do with presenting the RFM method and its parameters for assessing the CLV index. Our proposed case study is included 182 data of customers in an IT cooperation, which we used ordered logistic regression so as to analyze. In the experimental results section, our proposed method applying to this specific cooperation data demonstrates a better performance both in accuracy and precision in comparison with the popular methods.