Front-end log analysis
Introduction to front-end log analysis
Front-end log analysis is a process of collecting behavior data of visitors visiting a website, and then through quantitative and qualitative analysis on the basis of these user log data, to improve users' browsing experience and website performance, and ultimately to improve business returns. In general, front-end log analysis follows the following steps:
The significance of front-end log analysis for performance testing:
Ability to determine performance metrics, including system concurrency, response time, functions to be tested, etc.
Through the change range of each index, the health degree of system performance is determined.
Reference for capacity planning
How to collect front-end logs
The principle of user log data collection is as follows:
The meaning of each part of the front-end log data
Each part that can be collected to access the data and its significance:
Front-end log data analysis target
General front-end analysis is carried out from the following five angles
Flow analysis
Number of visits (PV,UV)
Source of traffic (Referer)
Search traffic and direct traffic
Stay time and page attempt, etc.
Audience analysis
Language and location distribution
Distribution of new and old users
Operating system and browser distribution
Access frequency and time distribution
Wastage rate and activity distribution
User value analysis, etc.
Page analysis
Access to website content
Target exit page
Page access speed
Page operation tracking and thermal map, etc.
Transformation analysis
Goal setting and analysis
E-commerce transaction analysis
Funnel transformation analysis, etc.
Other
ABG B test
ROI analysis, etc.
Field design of front-end log record
The fields recorded in the front-end log of the current implementation are shown in the following table:
