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	<title>Online Business Optimization &#187; Bounce Rate</title>
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		<title>Conversion Rate Improvement Experiment Step One: Collecting basic web analytics information</title>
		<link>http://seot.org/bounce-rate/conversion-rate-improvement-experiment/82/</link>
		<comments>http://seot.org/bounce-rate/conversion-rate-improvement-experiment/82/#comments</comments>
		<pubDate>Fri, 24 Apr 2009 20:12:45 +0000</pubDate>
		<dc:creator>sidikov</dc:creator>
				<category><![CDATA[Bounce Rate]]></category>
		<category><![CDATA[Conversion rate]]></category>
		<category><![CDATA[E-Commerce]]></category>
		<category><![CDATA[Shopping Cart Abandonment]]></category>

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		<description><![CDATA[Today we are starting Conversion Rate optimization experiment for Kreativ Shop &#8211; online shop selling flash memory cards in Denmark. The main reason for that is to test different online marketing approaches in order to [...]]]></description>
			<content:encoded><![CDATA[<p>Today we are starting Conversion Rate optimization experiment for <a href="http://www.kreativshop.dk">Kreativ Shop</a> &#8211; online shop selling flash memory cards in Denmark. The main reason for that is to test different online marketing approaches in order to keep a current Conversion Rate which is 4,4% for the last month and try to increase an average yearly &#8211; 4,52% Conversion Rate. Main flash memory supplier has increased prices for all products last week by 15-20% and therefore all prices including taxes in the shop were increased by 20-25%. So the question is how the price changes will affects the shop conversion rate?</p>
<p>First of all we need to collect a basic web analytics information about site visitors to make a qualitative analysis based on:</p>
<ol>
<li>Bounce Rate</li>
<li>Average Page Views</li>
<li>Time on the site</li>
<li>Traffic Sources</li>
<li>Conversion Rate and Bounce Rate by all traffic sources</li>
<li>Keywords performance and Adwords campaigns performance</li>
<li>Site top content and top landing pages</li>
<li>Conversion Funnel and Funnel visualization</li>
<li>E-commerce data</li>
</ol>
<h3>Bounce Rate</h3>
<p>A bounce rate will show us the an effectiveness or the performance of the page visitor entered so we will be able to calculate some numbers to determine whether the page is doing well or not.</p>
<p>Google Analytics offers many possibilities to calculate the Bounce Rate: you can calculate Bounce Rate for a whole site, by all traffic sources, by top landing pages or top content and on a keyword level. But for this experiment we will focus only in the bounce rate metric that mostly affects our PPC and E-mail campaigns, which is in our case bounce rate of top landing pages, the pages we drive our PPC traffic.</p>
<p>Since we can all our online marketing campaigns are focused on top la</p>
<p>According to Google Analytics a yearly e-commerce conversion rate was 4,52%:</p>
<p><img class="alignleft size-full wp-image-117" title="conversion-rate1" src="http://www.seot.org/wp-content/conversion-rate1.jpg" alt="conversion-rate1" width="549" height="436" /><br />
We will run this experiment for one month and present results here so everyone can use it as a beginning point for shopping cart performance optimization.</p>
<p>The simple step to reach our goal would be analyzing web analytics information and focusing only on the top performed products in our campaigns.</p>
<p>The bounce rate of the shop is 36,63% which is little higher than yearly average:</p>
<p>test</p>
<div id="attachment_113" class="wp-caption alignleft" style="width: 553px"><img class="size-full wp-image-113" title="bounce-rate3" src="http://www.seot.org/wp-content/bounce-rate3.jpg" alt="Bounce rate" width="543" height="387" /><p class="wp-caption-text">Bounce rate</p></div>
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