A Customer Group Mining Method Based on Cluster Analysis

With the rapid development of WeChat’s business economy, customer data is exploding. Taking the tortoise herb jelly WeChat marketing data in WuZhou as an example, how to accurately analyze customer data, discover customers’ consumption characteristics of the tortoise herb jelly, and provide different efficacy tortoise herb jelly products pertinently to different customer groups, has become a major problem in the development of enterprises. In order to solve the above problems, this paper applies clustering analysis algorithm to the process of customer group mining, uses the key information of existing customers to classify customer categories, and obtain higher latitude customer information. Experiments show that customer segmentation based on clustering results can improve the analysis efficiency of the relationship between customer groups and products, identify important factors affecting product sales, and provide support basis for enterprises to carry out customer-centered precision service.