Customer Value Analysis Based on Python Crawler

Customer value analysis is an important work in customer relationship management. In this paper, we use ABC classification, RFM (Recency, Frequency, Monetary) model and K-means clustering method to analyze the customer value. First, we use python language to compile a crawler program to collect the data of transaction records from an enterprise's customer information management system. Then, by using different methods, we obtain different classifications of the customers. The test results demonstrate that the proposed methods can provide constructive suggestions to manage the customer value in practice, although they are easy and basic.