customer activity has received more attention due to the increase of social network applications. moreover, customer activity could be an answer to the research debate about the significant relationship between retention rate and lifetime profitability of customers. several researchers believe that an increase in the retention rate of customers may enhance their customer lifetime value (clv), o...

business all around the world uses different approaches to know their customers, segment them and formulate suitable strategies for them. one of these approaches is calculating the value of each customer for the company. in this paper by calculating customer lifetime value (clv) for individual customers of an online toy store named alakdolak, three customer segments are extracted. the level of ...

modern business organizations have appreciated the significance of having competitive advantage through the delivery of continuous improvement towards the customers, and being knowledge-oriented. indisputably, knowledge management (km) plays a key role in the success of customer relationship management (crm). in this regard, customer knowledge management (ckm) is a newly developed concept that ...

Abstract Customer Lifetime Value (CLV) is known as an important concept in marketing and management of organizations to increase the captured profitability. Total value that a customer produces during his/her lifetime is named customer lifetime value. The generated value can be calculated through different methods. Each method considers different parameters. Due to the industry, firm, business...

Today, people are increasingly connected and extensively interact with each other using technology-enabled media. Hence, customers are more frequently exposed to social influence of other customers when making purchase decisions. However, established approaches for customer valuation most widely neglect network effects based on social influence leading to a misallocation of resources. Therefore...

Being able to measure customer value is a prerequisite for effective customer relationship management and data-driven marketing strategy, as it allows to maximize return on marketing investment, particularly when resources are limited. While past profitability is certainly a useful metric, it is insufficient when trying to predict which customers are going to be most valuable in the future so a...

Customer lifetime value (LTV) estimation involves two parts: the “survival” probabilities and profit margins. This article describes the estimation of those probabilities using discrete-time logistic hazard models and that of profit margins is based on linear regression. In the scenario when outliers are present among margins, we suggest applying robust regression with PROC ROBUSTREG.

T measurement of customer lifetime value is important because it is used as a metric in evaluating decisions in the context of customer relationship management. For a firm, it is important to form some expectations as to the lifetime value of each customer at the time a customer starts doing business with the firm, and at each purchase by the customer. In this paper, we use a hierarchical Bayes...

The present study attempts to establish a new framework to speculate customer lifetime value by a stochastic approach. In this research the customer lifetime value is considered as combination of customer’s present and future value. At first step of our desired model, it is essential to define customer groups based on their behavior similarities, and in second step a mechanism to count current ...