Shulou(Shulou.com)06/03 Report--

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:

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