The customer oriented catalog segmentation problem assumes that one customer is interested in at least a certain number of items in the catalog, and then calculates the number of customers that are covered by the catalog. Hence, the result of catalog segmentation is assessed according to it. In order to ensure that the catalog covers customers as many as possible, the existing segmentation algorithm ignores the effect of the results of the catalog segmentation. Aiming at this problem, this paper constructs a new data storage structure CFP-Tree for storing customer transaction data, and presents a new algorithm Effective-Cover to solve the problem of catalog segmentation. The algorithm uses tree depth traversal method to select catalog products. The experimental results show that the algorithm can obtain better catalog segmentation results.