Use this page to learn about common Web analytics terms and metrics that can help you make data driven decisions for monitoring and improving your Web site.
This section contains an alphabetical listing of common Web analytics terms. Some of these terms and definitions have been reprinted from the Web Analytics Association's list of published definitions (PDF, 293 KB).
Bounce rate: The percentage of entrances on a Web page that result in an immediate exit from the Web site.
Cookie: A small string of text stored on a user's computer by a Web browser. It consists of bits of information such as user preferences, shopping cart contents, the identifier for a server-based session, or other data used by Web sites to recognize visitors.
Direct traffic: The number of visits to your Web site that originated through visitors who a) clicked a bookmark to come to your site or b) typed your site URL into their browser. Direct traffic can include visitors recruited via offline (i.e. print and television) campaigns.
Entry page: The first Web page accessed during a visit to a Web site.
Exit page: The last page accessed during a visit to a Web site, signifying the end of a visit. In a tabbed or multi-window browser environment it should still be the final page accessed that is recorded as the exit page even though it cannot be definitively known that this was the last page the visitor viewed.
Landing page: The page that a visitor lands on after clicking on a targeted link or advertisement. A landing page can also be an entry page for a site, however, it's main purpose is to monitor visitor behavior for targeted content.
New visitor: A visitor who has never visited the Web site before or who has cleared browser cookies before the recorded visit.
Page view: The number of times a Web page was viewed during a visit.
Referring sites: Other Web sites that send traffic to your Web site.
Returning visitor: A visitor who is returning to the Web site. (This is detectable if they have received a cookie during their prior visit and if they have not cleared their cookies).
Search engine: A Web-based program that searches Web pages and documents for specified keywords and returns a list of the Web pages and/or documents where the keywords were found. (Google, Yahoo and Bing are few examples of search engines).
Visit: An interaction by an individual with a Web site consisting of one or more requests for a unit of content (usually a Web page). If an individual is on the site for more than the specified time period (usually 30 minutes), the visit session will terminate and a second visit will be recorded.
Visitor: An individual who visits a Web site during a defined period. A visitor can make multiple visits and their identification is based on the visitor’s computer. A cookie helps determine whether a visitor is new or returning.
This section contains guidelines on metrics for Web site and Web site section related data collection for performance and monitoring purposes.
|Metric/data point*||Description of metric||Recommended reporting frequency|
|Web site section**||Web site|
|Average time on page||Provides the average time spent on a Web page by a visitor. It tells you how long a visitor stayed on a page within a given visit duration (usually 30 minutes).|
If the goal of your Web page is to provide information, the time spent on your page will likely be greater than if the goal of your Web page is to send people to other sites.
You should compare the time spent on your page with the average time spent on the Web site, to get a sense of how much time a visitor may be spending on average during a given site visit.
|Average time on site||Provides the average time spent on your site by a visitor. It tells you how long a visitor stayed on your site within a given visit duration (usually 30 minutes).||N/A||Monthly|
|Exit rate||Helps you determine the number of visitors who exit the site from a given page. A high exit rate from your page would be an indicator of a few things:||Monthly||Monthly|
|Number of visits||Provides the total amount of traffic your site gets during a given period of time. Trending the visits over time will provide patterns on amount of traffic that your site gets.||Monthly||Monthly|
|Search analytics||Provides data related to search engine behavior on your site and on the Web. It is important since search engines play a key role in enabling visitors to get to your content through Web search engines and site search engines. The types of data to look for are:||Monthly||Monthly|
|Top exit pages||Helps determine the pages from which visitors leave/exit from your site. Knowing the exit page will help you enhance content on those pages to retain visitors or increase engagement. |
Exit rate is calculated separately for each page because it is the property of an individual page independent of any other page on the site.
|Top visited pages (by number of page views)||Provides trends on the most visited (most popular) content on your site/section. It enables you to see which pages visitors visit most frequently when visiting your site. This data will help you understand which content should be prioritized in your site's content strategy.|
Comparing the page views per visit will give you an estimate of how many times your page was viewed during a visit.
|Traffic sources||Provides a view of the sources from where visitors come to your site/section. It is usually representative of sources such as direct traffic, referring sites, and search engines.|
By knowing which sources work best at directing traffic to your page, you can work on strategies to improve ways to get more visitors to your page.
|Visitor loyalty (number of returning visitors)||Provides trends on unique and return visitors that can inform how frequently site/page content needs to change.|
If the goal of your site/section is to have visitors return for new information, this metric will help provide insight into whether your site is doing a good job at getting users back to the site or not.
* These metrics are tool agnostic. Naming conventions for specific metric reporting may vary when seen in different Web analytics tools such as Web Trends, Google Analytics, NetInsight, etc.
** A custom report will be required to see segmented data for a particular section of a site.