Google says that “Bounce rate” in Google Analytics is one of the key metrics that helps to evaluate the quality of your website's o blog's traffic. Bounce rate is often misunderstood as the factor for determining the page rank. But it is not.



 However a low bounce rate will increase the traffic to the page and make sure the websites's design attracts visitors. I shared a post about "" earlier. That post really helped lot of bloggers to reduce bounce rate of their blogs and websites. You can also read it out and implement the steps.Usually bloggers use Google Analytics for checking the bounce rate. For that you have to add a code to your blog or website. The code is this.

<script>
  (function(i,s,o,g,r,a,m){i[&#39;GoogleAnalyticsObject&#39;]=r;i[r]=i[r]||function(){
  (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
  m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
  })(window,document,&#39;script&#39;,&#39;//www.google-analytics.com/analytics.js&#39;,&#39;ga&#39;);
  ga(&#39;create&#39;, &#39;UA-47923736-1&#39;, &#39;shipmethis.com&#39;);
  ga(&#39;send&#39;, &#39;pageview&#39;);
</script>
This code check almost all kinds of metric including the bounce rate. The bounce rate can be accessed by the following steps.Go to Google Analytics - . Sign up if you didn't sign up in Analytics. Sign in to Google Analytics. Go to All website data or the name of of your website's or blog's data. In the side bar, you can see Audience and Behavior.  That will show New v/s Returning. In that you can see Bounce rate as the fifth column. 

Now i show you some data of the Bounce rate of shipmethis.com

01-06-2014
02-06-2014
The above Google Analytics code check bounce rate as a metric and a “Bounce rate” is defined as the rate when a visitor of a website exit the website page right from the landing page, without going to any other pages in the website. That means it is three way process. 

First the visitor lands on a page from Google search results or from any other source. This is called the landing page. For a blog, it will be blog post page.
Second process is that the visitor reads the post.
Third, the visitor close the tab or go to other website without going to any other page of the same websites.
 


Checking Bounce rate in Google Analytics

Google Analytics does not check whether the visitor's spending time on a website. Even if the visitor stayed there for hours and left without opening other page in the same website, it will be counted as bounced. Another instance is like after reading all the post, the visitor may search other posts in the search tab, and because the visitor didn't viewed another page and goes to straight to search will be counted as bounced.
Google realized this and explained detailed about it in the blog,  and said that it is not enough. 



Adjusted bounce rate

So they came up with something called "Adjusted bounce rate". You can read it from this link, . You have to add a simple code in to your blog or website provided by Analytics team. This code what actually does is that it execute and event in the page after specified time. The set time is 15 seconds and you can change according to your goal. So if the visitor stayed for 15 seconds, the script will create an event and executing this. Therefore, it will not be counted as bounced, reducing the bounce rate. If you put the time like 1 or 2 seconds, it may counted as a issue by Google, hence it is better to add time more than 15 seconds.

 If you want to know more about tracking events, you can read https://developers.google.com/analytics/devguides/collection/gajs/eventTrackerGuide.
The code is,


<script type="text/javascript">
  var _gaq = _gaq || [];  _gaq.push(['_setAccount', 'UA-XXXXXXX-1']);  _gaq.push(['_trackPageview']);  setTimeout("_gaq.push(['_trackEvent', '15_seconds', 'read'])",15000);
  (function() {    var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;    ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';    var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);  })();
</script>
You have to change the UA-XXXXXXX-1 into your track ID.

You can add the code below the </head> tag.


After Installing the code

Bounce rate in Analytics
Less bounce rate


More deeper info

Read a scrolling event creation to reduce bounce rate here - http://scrolldepth.parsnip.io/

Read reducing bounce rate using active tab feature - http://stackoverflow.com/questions/1760250/how-to-tell-if-browser-tab-is-active/1760268#1760268

Join the discussion here- https://news.ycombinator.com/

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