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	<title>Lifeline Blog&#187; Case Studies</title>
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		<title>Case Study: Doubled Traffic and Tripled Search Visits</title>
		<link>http://www.lifelinedesign.ca/blog/2010/08/case-study-doubled-traffic-and-tripled-search-visits/</link>
		<comments>http://www.lifelinedesign.ca/blog/2010/08/case-study-doubled-traffic-and-tripled-search-visits/#comments</comments>
		<pubDate>Thu, 12 Aug 2010 14:11:24 +0000</pubDate>
		<dc:creator>Dave</dc:creator>
				<category><![CDATA[Case Studies]]></category>

		<guid isPermaLink="false">http://www.lifelinedesign.ca/blog/?p=553</guid>
		<description><![CDATA[After discovering the stunning results of our previous case study, we decided profiling the results of a new web design on a regular basis would be a good idea. Today we&#8217;re going to look at David&#8217;s of Port Dover, a fine dining establishment located in picturesque Port Dover, Ontario.  As always, this is not a [...]]]></description>
			<content:encoded><![CDATA[<p>After discovering the stunning results of our<a href="http://www.lifelinedesign.ca/blog/2010/06/case-study-effects-of-a-professional-web-design/"> previous case study</a>, we decided profiling the results of a new web design on a regular basis would be a good idea. Today we&#8217;re going to look at <a href="http://www.davidsportdover.com" target="_blank">David&#8217;s of Port Dover</a>, a fine dining establishment located in picturesque Port Dover, Ontario.  As always, this is not a claim or guarantee of results if you work with us, just a case study of one of our clients and the benefits they&#8217;ve seen from redeveloping their website with Lifeline.   The new David&#8217;s website was launched at the end of May / beginning of June of this year and we started hosting their website at the beginning of April, so that&#8217;s where our statistical data begins. This time around, we have about 5 months of data to work with.</p>
<p>When David&#8217;s originally contracted us, the largest overriding issue their site had was that it was beginning to show its age. It had a splash page (an initial page on a website that provides no real information other than a link to enter the main site) and this, among other structural issues, was likely the cause of their starting bounce rate.</p>
<p>Let&#8217;s take a look at the breakdown of their statistics:</p>
<div>
<table border="1" cellspacing="0" cellpadding="0" width="500">
<tbody>
<tr>
<td width="15%">
<div>
<p><strong>Month</strong></p>
<p><strong> </strong></p>
</div>
</td>
<td width="28%" bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">Visitors</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
<td width="28%" bgcolor="#00FF00">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">Search Engine Visits</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
<td width="28%" bgcolor="#FF0000">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">Bounce Rate</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
</tr>
<tr>
<td>March</td>
<td bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">737</span></p>
</div>
</td>
<td bgcolor="#00FF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">357</span></p>
</div>
</td>
<td bgcolor="#FF0000">
<div>
<p style="text-align: center;"><span style="color: #000000;">64.9%</span></p>
</div>
</td>
</tr>
<tr>
<td>April</td>
<td bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">913</span></p>
</div>
</td>
<td bgcolor="#00FF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">440</span></p>
</div>
</td>
<td bgcolor="#FF0000">
<div>
<p style="text-align: center;"><span style="color: #000000;">60.3%</span></p>
</div>
</td>
</tr>
<tr>
<td>May</td>
<td bgcolor="#FFFF00">
<div>
<p style="text-align: center;">1264</p>
</div>
</td>
<td bgcolor="#00FF00">
<div>
<p style="text-align: center;">726</p>
</div>
</td>
<td bgcolor="#FF0000">
<div>
<p style="text-align: center;"><span style="color: #000000;">58%</span></p>
</div>
</td>
</tr>
<tr>
<td>June</td>
<td bgcolor="#FFFF00">
<p style="text-align: center;"><span style="color: #000000;"><strong>1881</strong></span></p>
</td>
<td bgcolor="#00FF00">
<p style="text-align: center;"><span style="color: #000000;"><strong>1379</strong></span></p>
</td>
<td bgcolor="#FF0000">
<p style="text-align: center;"><span style="color: #000000;"><strong>40.1%</strong></span></p>
</td>
</tr>
<tr>
<td>July</td>
<td bgcolor="#FFFF00">
<p style="text-align: center;"><span style="color: #000000;"><strong>1787</strong></span></p>
</td>
<td bgcolor="#00FF00">
<p style="text-align: center;"><span style="color: #000000;"><strong>1527</strong></span></p>
</td>
<td bgcolor="#FF0000">
<p style="text-align: center;"><span style="color: #000000;"><strong>38.7%</strong></span></p>
</td>
</tr>
</tbody>
</table>
</div>
<p>Starting in March and April, everything remains fairly consistent. It&#8217;s fairly normal to have a little bit of variation (up or down) from month to month in your traffic statistics.  We started hosting the site a few days into March, so the March stats are a bit lower as well because they are missing those days. So, with around 913 visits and  440 of those visits coming from search engines, the site was doing fairly decently for its service area.  The bounce rate of around 60% is not amazing, and there is definitely room for improvement there.</p>
<p>In May the site was gearing up for launch; much of the extra traffic came from Lifeline as well as the client accessing the new site to build, tweak, and approve the new content while the old site was still the live front. There was a slight increase in search engine traffic as well, likely from pages of the  new website getting indexed by Google as it crawled the pages for the new website.</p>
<p>June and July come along as the first two months with the new site launched. There&#8217;s a noticeable increase in traffic, including traffic coming from search engines, as well as a drop in the bounce rate. There is a bit of variation between the two months, but as I mentioned before this is completely normal in statistics, so without further ado, let&#8217;s compare the statistics from the old site versus the new.</p>
<p><strong>Traffic:</strong></p>
<p>As you can see,  with the old David&#8217;s site was getting around 900 visitors per month; this new site launch has doubled that traffic up to around 1800 visits.  Fantastic results to be sure &#8212; who wouldn&#8217;t be happy with literally doubling the amount of traffic that comes to their website?  However,  just like our previous case study, the news only gets better as we move on to the search engine results.</p>
<p><strong>Search Engine  Traffic:</strong></p>
<p>Much like Ariss Valley, David&#8217;s is starting to get found through generic search terms (like &#8220;restaurant in port dover&#8221; for which they are the second  organic listing). This type of search traffic, which was almost non-existent on their old site,  is more valuable than searches for your company name because in most cases it means the visitors aren&#8217;t already familiar with your website and are learning about your business for the first time. Their new site is now getting over triple the amount of traffic from search engines, and in fact this is where a large majority of the new traffic is coming from.</p>
<p><strong>Bounce Rate:</strong></p>
<p>As a quick reminder,  the bounce rate is the percentage of visitors who left almost as soon as they came to the website, and likely didn&#8217;t read or find much (if any) information. David&#8217;s initial bounce rate wasn&#8217;t as bad as the previous site we looked at, so the results aren&#8217;t as dramatic, but the new website still resulted in about a 60% decrease in the bounce rate. Which means 60% of the visitors who were previously leaving the site without spending enough time to learn anything about David&#8217;s of Port Dover are now staying on the site longer. Definitely good news!</p>
<p>This brings us to the completion of our second case study&#8230; stay tuned for more!</p>
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		<title>Case Study: Effects of a Professional Web Design</title>
		<link>http://www.lifelinedesign.ca/blog/2010/06/case-study-effects-of-a-professional-web-design/</link>
		<comments>http://www.lifelinedesign.ca/blog/2010/06/case-study-effects-of-a-professional-web-design/#comments</comments>
		<pubDate>Wed, 30 Jun 2010 21:33:58 +0000</pubDate>
		<dc:creator>Dave</dc:creator>
				<category><![CDATA[Case Studies]]></category>

		<guid isPermaLink="false">http://www.lifelinedesign.ca/blog/?p=509</guid>
		<description><![CDATA[Today we&#8217;re going to examine the effects of a professional redesign we completed for one of our clients (Ariss Valley , a golf course just outside of Guelph). Now before we get started, the usual legal fine print that people hide applies: this isn&#8217;t a claim or guarantee of results if you work with us, [...]]]></description>
			<content:encoded><![CDATA[<p>Today we&#8217;re going to examine the effects of a professional redesign we completed for one of our clients (<a href="http://www.arissvalley.com" target="_blank">Ariss Valley</a> , a golf course just outside of Guelph). Now before we get started, the usual legal fine print that people hide applies: this isn&#8217;t a claim or guarantee of results if you work with us, just a case study of one of our clients.  It&#8217;s not particularly scientific, as I&#8217;m looking at the limited data set we have available to us right now.</p>
<p>When Ariss Valley first approached us, they had a completely flash-based site.  Visually it wasn&#8217;t the worst site I have seen, but a fully flash-based site has a lot of negatives. For starters, it almost always requires web designer intervention to make any changes and updates to your content, and while there<em> are </em>ways around it, typically flash sites are at the very least hindered from a SEO perspective and require more work (and therefore more money) to optimize properly.</p>
<p>We began hosting the Ariss Valley site in late April, so that&#8217;s where our server logs start. For the month of April, I extrapolated results based on the daily average of the one third or so of the month we had stats for.  The new website we developed for them was launched around May 17th, so it was live for about 14 days in May.  Below, we have a table comparing their traffic and other stats from April to May:</p>
<div>
<table border="1" cellspacing="0" cellpadding="0" width="500">
<tbody>
<tr>
<td width="15%">
<div>
<p><strong>Month</strong></p>
<p><strong> </strong></p>
</div>
</td>
<td width="28%" bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">Visitors</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
<td width="28%" bgcolor="#00FF00">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">Search Engine Visits</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
<td width="28%" bgcolor="#FF0000">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">Bounce Rate</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
</tr>
<tr>
<td>April</td>
<td bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">1869</span></p>
</div>
</td>
<td bgcolor="#00FF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">996</span></p>
</div>
</td>
<td bgcolor="#FF0000">
<div>
<p style="text-align: center;"><span style="color: #000000;">79.9%</span></p>
</div>
</td>
</tr>
<tr>
<td>May</td>
<td bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">2421</span></p>
</div>
</td>
<td bgcolor="#00FF00">
<div>
<p style="text-align: center;"><span style="color: #000000;">1818</span></p>
</div>
</td>
<td bgcolor="#FF0000">
<div>
<p style="text-align: center;"><span style="color: #000000;">54.3%</span></p>
</div>
</td>
</tr>
<tr>
<td>June</td>
<td bgcolor="#FFFF00">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">3236</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
<td bgcolor="#00FF00">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">2705</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
<td bgcolor="#FF0000">
<div>
<p style="text-align: center;"><strong><span style="color: #000000;">39.6%</span></strong></p>
<p><strong> </strong></p>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<p>Comparing the data from April (last full month with the old website) vs. June (first full month with the new website) brings about some pretty startling revelations. Let&#8217;s take a look:</p>
<p><strong>Traffic</strong></p>
<p>Right off the bat, from April to June they saw an increase in traffic over 70%, which is a huge jump. That&#8217;s just a stone&#8217;s throw from double the traffic! Looking at the daily stats in May, the traffic ramped up significantly around the time we launched the website and continued on to the end of the month and into June.  An improvement of this amount alone should put a grin from ear to ear on any site owner&#8217;s face, but things get even more interesting as we examine what drove this increase in traffic and how users interacted with the site.</p>
<p><strong>Search Engine Visits</strong></p>
<p>These represent the number of visitors that came to the site from a search on Google, Yahoo or Bing.  As you can see, the visits almost tripled from April to June&#8230; and while that&#8217;s obviously a great improvement, when you look at the search terms they were found, on the news gets better. In April, almost ALL of their search engine traffic came from terms directly related to their business name. That means most of the users that found them through a search engine already knew of or about their business and were looking for it specifically.</p>
<p>The June results tell a different story completely: While the searches related to their business name still remained very strong, they saw a huge increase in subject related terms such as &#8220;guelph golf courses&#8221;. We&#8217;re talking going from &lt; 50 visits to several hundred. This likely means that users who aren&#8217;t specifically looking for them, but just want information on a golf course in their area, are now finding the Ariss Valley website.</p>
<p><strong>Bounce Rate</strong></p>
<p>We&#8217;ve saved the best news for last!  Bounce Rate is the amount of visitors that leave a website within 30 seconds of arriving, so like a golf score, you want it as low as possible.  A high bounce rate usually means the user didn&#8217;t find what they were looking for or didn&#8217;t like what they saw and left almost as soon as they arrived.  In April, the Ariss Valley site&#8217;s bounce rate was an abysmal 79.9% &#8212; that means for every 100 visitors, 80 of them left before spending any real time on the website. Fast forward to this month, and their bounce rate has plummeted to a much more respectable 39.6%. While there&#8217;s always room  for improvement, they&#8217;ve essentially improved their bounce rate 100% over what it was.</p>
<p><strong>In Summary</strong></p>
<p>While we don&#8217;t have any firm statistics on actual improvement of business, based on the traffic improvements and performance of their new site,  it&#8217;s more than reasonable to assume that people  are coming to Ariss Valley because of their new and improved site &#8212; that is, people who wouldn&#8217;t have come to them otherwise.  In real business terms, this means their new website wasn&#8217;t a cost, but an investment that is going to pay off and start earning them money.</p>
<p>Do you still think your website is &#8220;okay&#8221; or &#8220;good enough&#8221;?  Websites are becoming more and more important to business every day, and a &#8220;good enough&#8221; attitude could be costing your business money.</p>
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