Car renting user data processing method and device and electronic equipment

Abstract

The invention relates to a car rental user data processing method and device and electronic equipment. The method comprises the steps of automatically obtaining access information, behavior information and order information corresponding to user behaviors of a website car renting user; grouping the users based on the access information and the behavior information to obtain a plurality of user groups; obtaining order information corresponding to each user group, and carrying out statistical analysis on the order information corresponding to each group according to the user groups; and displaying a statistical analysis result of the order information corresponding to each group according to the user groups. According to the method, the relationship between the user click behavior and the order can be automatically collected and analyzed, a data basis is provided for decision making of the demand side, the decision making difficulty of the demand side is reduced, meanwhile, the labor cost of development is reduced, and the efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a method, apparatus and electronic device for processing rental car user data. Background technique [0002] In related technologies, in the face of an increasingly perfect website, it is usually necessary to continuously optimize the existing functions to achieve the purpose of improving retention. However, with so many functions, what to optimize and how to optimize becomes a problem that all product personnel need to solve. The problem. The optimization demand side usually pays attention to the conversion data of specific functions that may have an impact on the conversion according to their own understanding, and then puts forward their own ideas, and then proceed: iteration -> statistics -> data analysis -> verification -> draw conclusions. The problems with this process mainly include the following aspects: [0003] The requirements for ...

AI Technical Summary

Problems solved by technology

[0003] The requirements for the comprehensive ability of the optimization demand side are very high. It is usually difficult for the demand side with insufficient experience or single skills to come up with a more effective solution in a short period of time and with less manpower.

The time cost is high, and the time from iteration to conclusion is very long. The whole process of development + testing + online + data collection + analysis & conclusion is high. The human cost is high. The verification of an idea usually requires the participation of the following personnel: product, design , front-end, back-end, and testing opportunity costs are high. If the same time is spent on requirements with a higher probability of success, the benefits created will naturally be higher

Therefore, the disadvantages of the above technical solutions are: heavy dependence on the demand side, usually the experience of product personnel; there is no ready-made and reliable data system or tool, and manual data processing is time-consuming and laborious

Images