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Adjusting Google Analytics Code to Fix Bounce Rate

The issue of bounce rate is one that has been widely talked about with little explanation of the parameters that control the equation. Google uses bounce rate as a measure of the quality of your web traffic. When a visitor leaves your site from the first page or landing page without going to any other page, such traffic is considered as “Bounce”. As I discussed on “Reduce your site’s bounce rate with SimpleReach Slide”, bounce rate is simply an indication of how much time people spend on your site.

A high bounce rate means people easily leave your site almost the same time they landed and Google uses this to interpret the relevance of your keyword to your content as against your competitors and rank you on their search engine. A high bounce rate is simply an indication of less relevance and this will lower your search engine ranking. Adjusting Google Analytics Code to Fix Bounce Rate Adjusting Google Analytics Code to Fix Bounce Rate




But a study of the Google Analytics code shows that Google’s main parameter is the trackPageview function, Google expects your visitor to visit at least more than a page on your site before leaving else they’ll term it a bounce visit. But such is not always applicable, in a case whereby a visitor landed on a product description page or about us page of a company and gets all the information he is looking for on that page before leaving without having to visit any other page, such page has met the expectation of the visitor, should such visit be included as a bounce visit? So according to Google analytics code, even if a visitor spends hours on your blog reading just one post without having to visit any other page of your site, Google will record it as a bounce visit. Adjusting Google analytics code can take care of this, you can tweak the code to execute an event when a user spends a certain amount of time on your site.

So even if a visitor does not visit any other page on your site but triggers the event stipulated on the adjusted analytics code, such a visitor will not be regarded as bounce.



An adjusted Google Analytics code with a new Scroll event means visitors to your site can only generate a bounce if they do not interact with your site in this case at least scroll a page with a 5 seconds delay. I hope you too will switch to the adjusted analytics code and lower your site’s bounce rate so as to improve your search engine ranking. Send your contributions through the comment.

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