360 website traffic statistics tool 360's free website data analysis service

As a leading website traffic statistics and analysis tool in China, 360 Analysis has attracted the attention of many webmasters since its launch. As an important part of 360's security ecosystem, it not only inherits 360's technical advantages in the field of network security, but also forms its own characteristics in the dimension of data analysis. Below we will deeply analyze the functional characteristics, technical architecture and actual application scenarios of 360 Analysis from multiple dimensions.

1. Analysis of the core functions of 360 analysis

The functional system of 360 analysis can be divided into three modules: traffic monitoring module, user behavior analysis module and conversion optimization module.

1. Flow monitoring module

This module provides comprehensive monitoring of website traffic, including:

• Real-time traffic monitoring : Access data is updated with accuracy down to the second, and you can view information such as the current number of online visitors, visited pages, length of stay, etc.
• Traffic trend analysis : supports viewing the changing trends of core indicators such as PV, UV, IP, etc. by time dimensions such as hours, days, weeks, and months.
• Source channel analysis : detailed division of traffic source channels such as direct visits, search engines, external links, etc.

2. User behavior analysis module

This module digs deep into visitor behavior data:

• Heat map analysis : Display page click heat in a visual way, supporting heat map analysis of up to 10 pages.
• Access path analysis : restore the user's complete browsing path from entering the website to leaving.
• Page association analysis : discover the jump relationship between pages and optimize the website structure.

3. Conversion Optimization Module

This module focuses on improving website conversion rates:

• Conversion funnel : customize the conversion path and analyze the loss in each link.
• Goal conversion tracking : Set key pages as conversion goals and count conversion rates.
• AB testing support : provide data support for page optimization.

2. Technical architecture features of 360 analysis

360 Analysis adopts a distributed data collection architecture with the following technical features:

1. Data Collection Layer

Using JavaScript tracking technology, data collection is achieved through asynchronous loading, which has minimal impact on website performance. It also supports multiple custom event tracking to meet personalized data collection needs.

2. Data processing layer

A big data processing platform built on the Hadoop ecosystem that enables:

• PB-level data processing per day
• Millisecond-level real-time computing
• Multi-dimensional data aggregation

3. Data storage layer

Adopting hybrid storage architecture:

• Real-time data is stored in an in-memory database
• Historical data is stored in columns
• Support long-term data storage

3. In-depth comparison between 360 Analysis and Baidu Statistics

Although both are mainstream website analysis tools in China, they differ in many dimensions:

IV. Practical application cases of 360 analysis

After using 360 analysis, an e-commerce website improved its operation effect through the following optimization measures:

1. The heat map shows that the click rate of the "Add to Cart" button is low. After redesigning the button style, the click rate increased by 35%.
2. Analysis of access paths revealed serious loss in key conversion links. After optimizing the process, the conversion rate increased by 22%.
3. By adjusting advertising strategies through source analysis, customer acquisition costs were reduced by 18%

5. Future Development Direction of 360 Analysis

Based on industry trends and user feedback, 360 Analysis may be upgraded in the following aspects:

• Enhanced mobile analytics capabilities
• Open more data interfaces
• Introducing AI prediction capabilities
• Improve the user portrait system

In general, 360 Analysis, as an important player in the field of domestic website analysis, has become the preferred tool for many website operators with its stable data collection capabilities, rich analysis dimensions and long-term data storage advantages. Although there is still room for improvement in some functions compared to Baidu Statistics, its feature of no filing requirements is particularly suitable for individual webmasters and small businesses.