e-Commerce companies understand that customers are their most important asset and that it is imperative to estimate the potential value of this asset. Hence, a model for calculating customer?s value is essential in these domains.

This paper describes a general modeling approach, based on Markov Chain Models, for calculating customer value in the e-Commerce domain. This model extends existing models from the field of direct marketing, by taking into account a new set of variables required for evaluating customers value in an e-Commerce environment. In Addition, we present an algorithm for generating this model from historical data, as well as an application of this modeling approach for the creation of a model for online auctions. The article also describes a case study that demonstrates how our model provides more accurate predictions than existing models regarding the future income generated by customers.