A conceptual framework to explain the relationship among electronic customer relationship management and electronic customer lifetime value: investigation the antecedents and presentation a structural model

Author(s):  
Mohammad Safari

This study investigates the relationship between electronic customer relationship management (CRM) and electronic customer lifetime value and their analysis in the electronic business environment in the form of a conceptual framework. CRM is a tool that different industries, especially in competitive conditions, use to maintain customers and increase their satisfaction. An important concept that arises as customer lifetime value that specifies the expected amount of value that the client in a given period of time creates is undoubtedly related to the benefits that accrue to the organisation. The global nature of business as well as the development of information and communication technology is forcing organisations to take advantage of emerging technologies to maintain their competitiveness. The use of e-business is a prominent example. The results of this study could help both researchers and executives of organisations and businesses with the subject of research, and provide good insights for them. Keywords: Electronic business (e-Business), electronic customer relationship management (e-CRM), electronic customer lifetime value (e-CLV), relationship marketing;

2012 ◽  
Vol 40 (7) ◽  
pp. 1057-1064 ◽  
Author(s):  
Wen Chang ◽  
Chen Chang ◽  
Qianpin Li

The concept of regarding customers as assets that should be managed and whose value should be measured is now accepted and recognized by academics and practitioners. This focus on customer relationship management makes it extremely important to understand customer lifetime value (CLV) because CLV models are an efficient and effective way to evaluate a firm's relationship with its customers. Assessment of CLV is especially important for firms in implementing customer-oriented services. In this paper we provide a critical review of the literature on the development process and applications of CLV.


2020 ◽  
Vol 24 (2) ◽  
pp. 122-135
Author(s):  
A. S. Smirnova ◽  
A. A. Khanova

Purpose of research is to develop a conceptual structure for managing the customer database of the insurance company based on the integration of models of data mining and system dynamics. The implementation of the conceptual structure involves clustering the customer database, modelling the dynamics of the customer database and developing strategic goals for each segment of the customer database in order to increase customer lifetime value.Methods. The article presents a theory-multiple model of the insurance company activity in the context of customer relationship management, which made it possible to determine the logical structure, system relationships as well as a set of functions performed within this process.Results. The proposed conceptual structure of the customer relationship management system includes tools for analyzing key indicators of the customer database, segmenting the database using several clustering methods and structuring by indicators of customer's profitability, satisfaction with insurance services as well as strategizing sales development for each customer segment, which includes the formation of management decisions in the form of marketing activities, optimizing costs and expenses in promoting services on the market due to rational and competent positioning.Conclusion. Based on the task set, an algorithm that allows analyzing the customer database by key indicators, segmenting, structuring customers and forming sales development strategies of the insurance company aimed not only at retaining existing customers but also at increasing the value of each one by increasing customer lifetime value and increasing sales for each cluster as well as increasing the volume of insurance premiums by attracting new customers is proposed.


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