Data mining techniques are expected to be a more effective tool for analyzing customer behaviors. Accurate prediction of shopping channel preference has become an important issue for retailers seeking to maximize customer loyalty. Data mining tools answer business questions that in the post were too time consuming to pursue. Yet, it is answer to these questions make customer relationship management possible. This paper is to identify the high-profit, high-value and low-risk customer by one of the data mining techniques-customer clustering.