Atomile provides visitor statistics across multiple dimensions to meet different analysis needs. These dimensions include IP, Page Views (PV), Unique Visitors (UV), User-Agent (UA), and Regional Distribution.

How to Access Visitor Statistics

1. Log in to the Atomile Console and select the corresponding product.
2. Click Statistical Analysis > Visitor Statistics. You will see five tabs: IP, Page Views (PV), Unique Visitors (UV), User-Agent (UA), and Regional Distribution. Select the tab you want to view.
3. Filter by query time range and domain, and then click Query to view the corresponding visitor data.
4. In the upper-right corner of the chart, click to export detailed data.

Each tab displays different types of visitor data. See the detailed descriptions below.

IP

This section shows the number of visitor IPs for the selected domain within the query time range. You can view detailed charts, total IP count, and peak IP count.

• When the query time range is less than one day, the chart granularity is one hour. If the same IP visits multiple times within one hour, it is counted only once. Data for 00:00:00-01:00:00 is recorded at the 01:00:00 time point.
• When the query time range is longer than one day, the chart granularity is one day. If the same IP visits multiple times within one day, it is counted only once.
• Click Contrast Time, select two time periods, and then click Query to compare visitor IP counts between those periods.

Page Views (PV)

PV refers to page views or page clicks.

This section shows page view data for the selected domain within the query time range. You can view detailed charts, total PVs, peak PVs, and daily data that displays PVs for each day.

• When the query time range is less than one day, the chart granularity is one hour. Data for 00:00:00-01:00:00 is recorded at the 01:00:00 time point.
• When the query time range is longer than one day, the chart granularity is one day.
• PV is calculated based on requests with response status codes in the range (0, 400].
• The default file types included in PV statistics are: htm, html, php, asp, shtm, shtml, aspx, xml, xhtml, xsl, cfm, htx, htmls, phtml, jsp, hph3, txt, wml, lhtml, pl, cgi, cfm, acgi, srch, and qry.
• URLs ending with / (for example, http://www.test.com/abc/) or URLs without a . (for example, http://www.test.com/abc) are also counted in PV.
• Click Contrast Time, select two time periods, and then click Query to compare PV data between those periods.

Unique Visitors (UV)

A UV is identified based on IP and UA (such as IP, operating system, and browser). For example, if both the IP and UA are the same, they are counted as one UV, which represents one unique visitor.

This section shows UV data for the selected domain within the query time range. You can view detailed charts and peak UV values.

• When the query time range is less than one day, the chart granularity is one hour. If the same UV visits multiple times within one hour, it is counted only once. Data for 00:00:00-01:00:00 is recorded at the 01:00:00 time point.
• When the query time range is longer than one day, the chart granularity is one day. If the same UV visits multiple times within one day, it is counted only once.
• Click Contrast Time, select two time periods, and then click Query to compare UV data between those periods.

User-Agent (UA)

This section provides multi-dimensional UA-based visitor data for the selected domain within the query time range, including operating system, browser, and mobile device brand.

Operating System

Displays requests, traffic, and proportions for different PC and mobile operating systems.

Browser

Displays requests, traffic, and proportions for different browsers.

Mobile Device Brand

Displays requests, traffic, and proportions for different mobile device brands.

Regional Distribution

This section shows regional distribution data for the selected domain within the query time range. The region is determined based on the visitor’s IP address.

• Successful Requests: Requests with status codes in the range [100, 399] are counted as successful requests.
• Failed Requests: Requests with status codes outside the range [100, 399] are counted as failed requests.
• Successful Request Ratio = Successful Requests / Total Requests