Processing method and device of buried-point data, server and client

Abstract

An embodiment of the invention discloses a processing method and a processing device of buried-point data, a server and a client. The processing method comprises the steps that: the client obtains application interactive data according to a preset buried-point policy, and generates buried-point data according to the application interactive data, wherein the buried-point data comprises a buried-point unique identifier generated according to a predetermined method; the client transmits the buried-point data to the server; the server associates the buried-point unique identifier in the buried-point data with a determined service scene identifier, and generates mapping relation data; the client transmits buried-point data to be identified to the server; and the server performs identification conversion operation from the buried-point unique identifier to a service scene based on the mapping relation data. By utilizing the processing method, the processing device, the server and the client, the buried-point data identification conversion operation can be simplified, the terminal buried-point error rate and the conversion error rate of converting the buried-point data into the service scene by the server are decreased, the manual point burying, identification and check costs are reduced, and the processing efficiency and identification effect of the buried-point data are improved.

Description

technical field [0001] The present application belongs to the technical field of computer data processing, and in particular relates to a processing method, device, server and client of buried point data. Background technique [0002] With the rapid development of computers and the Internet, it is more and more popular to install and use such clients of APPs (applications), such as mobile phone APPs, portable devices, and software and services installed on traditional computers. These clients usually need to interact with remote servers to provide users with functions and data usage. Therefore, there are more and more statistical requirements for user behavior, activity operation effect, data access frequency, conversion rate, etc. At present, one of the main ways to use client data is to bury certain business, data and interaction points on the client, and transmit these buried point data to the server for statistical analysis, to evaluate the effect of operational activiti...

AI Technical Summary

Problems solved by technology

[0004] However, in the existing burying point implementation scheme, even if some automatic burying methods are adopted, the unique burying point identifier produced by it is still difficult to be directly recognized manually on the server side, such as N32342300456, asset_home_00239 and other burying point unique identifiers, It is usually necessary to combine a large amount of auxiliary data and cost manually to check and confirm the business scenario of the buried point data

However, mainly relying on manual identification of buried unique identifiers and conversion processing of business scenarios is prone to problems such as omissions, identification conversion errors, etc.

Therefore, in the prior art, the accuracy rate of identifying the business scenario corresponding to the buried point data is still low, and the processing efficiency of identifying and converting the unique identifier of the buried point to the business scenario is low

Images