Bounce rate (sometimes confused with exit rate) is an Internet marketing term used in web traffic analysis. It represents the percentage of visitors who enter the site and then leave ("bounce") rather than continuing on to view other pages within the same site.
Bounce rate is a measure of the effectiveness of a website in encouraging visitors to continue with their visit. It is expressed as a percentage and represents the proportion of visits that end on the first page of the website that the visitor sees.
Bounce rates can be used to help determine the effectiveness or performance of an entry page at generating the interest of visitors. An entry page with a low bounce rate means that the page effectively causes visitors to view more pages and continue on deeper into the web site.
High bounce rates typically indicate that the website isn't doing a good job of attracting the continued interest of visitors. That means visitors only view single pages without looking at others or taking some form of action within the site before a specified time period.
Interpretation of the bounce rate measure should be relevant to a website's business objectives and definitions of conversion, as having a high bounce rate is not always a sign of poor performance. On sites where an objective can be met without viewing more than one page, for example on websites sharing specific knowledge on some subject (dictionary entry, specific recipe), the bounce rate would not be as meaningful for determining conversion success. In contrast, the bounce rate of an e-commerce site could be interpreted in correlation with the purchase conversion rate, providing the bounces are considered representative of visits where no purchase was made. Typically, an average Bounce Rate for e-commerce is around 60%, with top performers operating at a 36% average Bounce Rate.
A bounce occurs when a web site visitor only views a single page on a website, that is, the visitor leaves a site without visiting any other pages before a specified session-timeout occurs. There is no industry standard minimum or maximum time by which a visitor must leave in order for a bounce to occur. Rather, this is determined by the session timeout of the analytics tracking software.
A visitor may bounce by:
There are two exceptions: 1) You have a one-page website 2) Your offline value proposition is so compelling that people would see just one single webpage and get all the information they need and leave.
Updated more accurate measure of bounce rate is:
Bounce Rate = "Total number of visits viewing one page" divided by "Total number of visits greater than or equal to the average variable page load speed".
A commonly used session timeout value is 30 minutes. In this case, if a visitor views a page, doesn't look at another page, and leaves his or her browser idle for longer than 30 minutes, they will register as a bounce. If the visitor continues to navigate after this delay, a new session will occur.
The bounce rate for a single page is the number of visitors who enter the site at a page and leave within the specified timeout period without viewing another page, divided by the total number of visitors who entered the site at that page. In contrast, the bounce rate for a web site is the number of web site visitors who visit only a single page of a web site per session divided by the total number of web site visits.
While site-wide bounce rate can be a useful metric for sites with well-defined conversion steps requiring multiple page views, it may be of questionable value for sites where visitors are likely to find what they are looking for on the entry page. This type of behavior is common on web portals and referential content sites. For example, a visitor looking for the definition of a particular word may enter an online dictionary site on that word's definition page. Similarly, a visitor who wants to read about a specific news story may enter a news site on an article written for that story. These example entry pages could have a bounce rate above 80% (thereby increasing the site-wide average), however they may still be considered successful.
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