Pastornet Daily Stats

This section identifies the most popular Web Site pages and how often they were accessed. The average time a user spends viewing a page is also indicated in the table.

This section identifies the least popular pages on your Web site, and how often they were accessed.

This section identifies the first page viewed when a user visits this site. This is most likely your home page but, in some cases, it may also be specific URLs that users enter to access a particular page directly. The percentages refer to the total number of user sessions that started with a valid Document Type. If the session started on a document with a different type (such as a graphic or sound file), the file is not be counted as an Entry Page, and the session is not counted in the total.

This section identifies the most common pages users were on when they left your site. The percentages refer to the total number of user sessions that started with a valid Document Type. If the session started on a document with a different type (such as a graphic or sound file), the file is not be counted as an Entry Page, and the session is not counted in the total.

This section identifies the pages on your Web site that visitors access and exit without viewing any other page. The percentages refer to the total number of user sessions that started with a valid Document Type. If the session started on a document with a different type (such as a graphic or sound file), the file is not be counted as an Entry Page, and the session is not counted in the total

This section identifies the paths people most often follow when visiting your Web site. The path begins at the page of entry and shows the next six consecutive pages viewed.

This section identifies the most popular file downloads of your Web site. If an error occurred during the transfer, that transfer is not counted.

This section identifies the most popular forms or scripts executed by your server. WebTrends counts any line with a Post command or a Get command with a "?" as a form or script, and shows only successful hits.

This section identifies the companies or organizations that accessed your Web site the most often.

This section outlines general server activity, comparing the level of activity on weekdays and weekends. Averages in the table do not include erred hits.

This section shows the activity for each day of the week for the report period (i.e. if there are two Mondays in the report period, the value presented is the sum of all hits for both Mondays.) The Total Weekdays line indicates the number of hits occurring Monday through Friday of the report period. The Total Weekends line indicates the number of hits occurring Saturday and Sunday of the report period. Values in the table do not include erred hits.

This section shows the most and the least active hour of the day for the report period. The second table breaks down activity for the given report period to show the average activity for each individual hour of the day.

This table shows the total number of hits for the site, how many were successful, how many failed, and calculates the percentage of hits that failed. It may help you in determining the reliability of your site.

This section shows the number of successful form submissions compared to the number that failed. Webtrends considers anything with Post command as a form.

This section identifies the type of errors which were returned by the Client accessing your server.

This section identifies by type the errors which occurred on your server.

This section identifies the download file types and the total kilobytes downloaded for each file type. Cached requests and erred hits are excluded from the totals.

This section provides a breakdown by types of organizations (.com, .net, .edu, .org, .mil, and .gov.) This information can only be displayed if reverse DNS lookups have been performed.

This section helps you understand the bandwidth requirements of your site by indicating the volume of activity as Kbytes Transferred.

This section analyzes accesses to the directories of your site. This information can be useful in determining the types of data most often requested.