LTV model in consultant sector. Case study: mental health clinic

Since the early 1980s, customer relationship management (CRM) has been important in the new competitive business environment. Today, due to development of competitive factors in the business, the enterprise's need to create and retain effective relations with customers has been highlighted more and more. With the aim of customer scoring applications, the most profitable customers can be identified. In this paper, we categorized customers by three types of values for the clinic by using logistic regression as a data-mining technique, and calculated the customer defection and future purchase probability in a mental health clinic of the university of Tehran. Model verification and validation (using lift chart) was done and customer segmentation and analysis presented with proper marketing strategies.