A term commonly used to measure visitor engagement is the bounce rate, which is the percentage of initial visitors who leaves your site after arriving at the entry page.
You can easily find your site’s bounce rate by using stats tools like Google Analytics.
The bounce rate is defined as the percentage of visitors who turn around at the entry page and immediately leave the site.
A bounce occurs when a web site visitor leaves a page or a site without visiting any other pages before a specified session-timeout occurs.
If you have one sentence on your page about the topic was searching and that’s all they can find then they will likely back out and visit another page on the SERP. If enough users do that then you’ll eventually fall in the search engine rankings for that keyword because Google figures that a high bounce rate for that keyword for that page is a bad fit for its search results page.
A visitor can bounce by Clicking on a link to a page on a different web site Closing an open window or tab Typing a new URL Clicking the “Back” button to leave the site Session timeout A commonly used session timeout value is 30 minutes.
you must analyze bounce rates separately for the 4 sources of visitors (ordering the segments by their level of commitment to your site)
Nielsen suggested that the bounce rate must be analyzed separately for four main different sources of visitors: low-value referrers, direct links from other sites, search engine traffic and loyal users.
Given growing bounce rates, we must stop using “unique visitors” as a metric for site success.
Site tourists who leave a site immediately ratchet up the unique visitor count, but don’t contribute long-term value.
Chasing higher unique-visitor counts will undermine your long-term positioning because you’ll design gimmicks rather than build features that bring people back and turn them into devotees and customers.
The point to note is that bounce rates will vary depending on the source and hence, they should be analyzed in comparison to previous sets of similar data and not across different sources.
For example, the performance of search engine referrals should be measured against previous bounce rates and not against another visitor source like Digg.
However, comparing the historical bounce rates across different visitor sources will show the value of the traffic you’re receiving.
A term commonly used to measure visitor engagement is the bounce rate, which is the percentage of initial visitors who leaves your site after arriving at the entry page.
You can easily find your site’s bounce rate by using stats tools like Google Analytics.
The bounce rate is defined as the percentage of visitors who turn around at the entry page and immediately leave the site.
A bounce occurs when a web site visitor leaves a page or a site without visiting any other pages before a specified session-timeout occurs.
If you have one sentence on your page about the topic was searching and that’s all they can find then they will likely back out and visit another page on the SERP. If enough users do that then you’ll eventually fall in the search engine rankings for that keyword because Google figures that a high bounce rate for that keyword for that page is a bad fit for its search results page.
A visitor can bounce by Clicking on a link to a page on a different web site Closing an open window or tab Typing a new URL Clicking the “Back” button to leave the site.
Session timeout commonly used session timeout value is 30 minutes.
You should analyze bounce rates separately for the sources of visitors (ordering the segments by their level of commitment to your site)
Nielsen suggested that the bounce rate must be analyzed separately for four main different sources of visitors: low-value referrers, direct links from other sites, search engine traffic and loyal users.
Given growing bounce rates, we must stop using “unique visitors” as a metric for site success.
Site tourists who leave a site immediately ratchet up the unique visitor count, but don’t contribute long-term value.
Chasing higher unique-visitor counts will undermine your long-term positioning because you’ll design gimmicks rather than build features that bring people back and turn them into devotees and customers.
The point to note is that bounce rates will vary depending on the source and hence, they should be analyzed in comparison to previous sets of similar data and not across different sources.
For example, the performance of search engine referrals should be measured against previous bounce rates and not against another visitor source like Digg.
However, comparing the historical bounce rates across different visitor sources will show the value of the traffic you’re receiving.
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bounce rate,
Google Analytics
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