More Than Address: Pre-Identify Your Income with the Open Data

Modern e-commerce websites collect immense amounts of transaction data, and almost each of them is associated with at least one delivery address. To promote sales, e-commerce operators are eager to identify the customers consumption levels. However, the information resource for target customers is quite limited due to privacy protection. In this paper, we propose an integrated framework together with an empirical method to pre-identify customers purchasing ability. To implement that, we need to recognize the implicit information within the delivery addresses of customers. In practice, both transaction data from the e-commerce providers and open real estate data associated with the delivery addresses are made rational utilization of. The experimental results show that this method is a feasible solution for income segment prediction, which can be extensively applied to marketing, advertising and product promotion, etc.