Research and Design of Website User Behavior Data Acquisition Based on Customized Event Tracking

Nowadays, it is particularly important to obtain user behavior data accurately, as the big data technology is developing at a high speed and the users of various types of websites is also increasing. The current mainstream practice is that users can design their own user behavior statistical analysis function modules or use other third-party platforms, which can analyze only the general user behavior of network services, such as Baidu Statistics and Zhuge Platform. However, each specific social network has its own user behaviors, to analyze them often requiring a self-designed special software [14], which is very difficult to develop. The embedded script provided by the third party can not be customized according to the needs of its users. In this paper, a new embedded design scheme of self-defined web pages based on general label binding, special attribute specific embedded point, form label binding and back-end reverse scanning monitoring technology is proposed, and it is verified that data acquisition and intelligent analysis of user behavior can be better completed on any website.