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	<title>Analytics Blog &#124; Web Analytics Blog  Canada &#187; Google Analytics</title>
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	<link>http://web.analyticsblog.ca</link>
	<description>Herman Tumurcuoglu&#039;s Web Analytics Blog &#124; Montreal Canada</description>
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		<title>Google Analytics is getting Social</title>
		<link>http://web.analyticsblog.ca/2011/06/google-analytics-is-getting-social/</link>
		<comments>http://web.analyticsblog.ca/2011/06/google-analytics-is-getting-social/#comments</comments>
		<pubDate>Thu, 30 Jun 2011 16:22:50 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/2011/06/google-analytics-is-getting-social/</guid>
		<description><![CDATA[<p>It’s been a while I haven’t posted, enjoying the summer. But finally, something newsworthy.  Google Analytics is measuring the impact of social media efforts. Read it on Mashable: http://mashable.com/2011/06/30/google-analytics-social-plugin/</p>
]]></description>
			<content:encoded><![CDATA[<p>It’s been a while I haven’t posted, enjoying the summer. But finally, something newsworthy.  Google Analytics is measuring the impact of social media efforts. Read it on Mashable: <a href="http://mashable.com/2011/06/30/google-analytics-social-plugin/">http://mashable.com/2011/06/30/google-analytics-social-plugin/</a></p>
]]></content:encoded>
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		<item>
		<title>Optimizing Search / Email Campaigns in GA</title>
		<link>http://web.analyticsblog.ca/2010/04/optimizing-search-email-campaigns-in-ga/</link>
		<comments>http://web.analyticsblog.ca/2010/04/optimizing-search-email-campaigns-in-ga/#comments</comments>
		<pubDate>Mon, 19 Apr 2010 05:20:13 +0000</pubDate>
		<dc:creator>hermant</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Email]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[googleanalytics]]></category>
		<category><![CDATA[search]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/?p=398</guid>
		<description><![CDATA[<p>Google Analytics with its robust traffic source tracker provides an  excellent tool to analyze traffic from various sources across the  internet. Most of the traffic comes from 3 main sources (Direct,  Referral, Search Engines). Apart from providing basic stuff like visits,  visitors, pageviews, unique visitors you have a lot of facility [...]]]></description>
			<content:encoded><![CDATA[<p>Google Analytics with its robust traffic source tracker provides an  excellent tool to analyze traffic from various sources across the  internet. Most of the traffic comes from 3 main sources (Direct,  Referral, Search Engines). Apart from providing basic stuff like visits,  visitors, pageviews, unique visitors you have a lot of facility to  perform robust / insightful analysis.</p>
<p>Lets discuss on few important things that GA offers for  understanding traffic related data:</p>
<p><span style="text-decoration: underline;"><strong>A) Search Keywords Organic /  Paid</strong></span></p>
<p>B) Tracking Referral campaigns (Email and other campaigns)</p>
<p>A)  Search Keywords Analysis: GA provides separate segmentation on Keywords  from Paid search traffic and Organic search traffic from Google.com,  provided you integrate Adwords Search campaigns in Google analytics.  This is simple nowadays, with ability to simple add a new code directly  to your conversion campaigns and activate GA tracking in Adwords  interface system</p>
<p>However, for other Search Engines like Yahoo, MSN &amp; smaller  search engines you need to specifically differentiate the Paid / Organic  separately. The URLs for ad campaigns in other search engines need to  be modified to include the source, campaign, term, content, name. This  can be done via the URL builder over here <a href="http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&amp;answer=55578" target="_blank">http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&amp;answer=55578</a> . The url then passess the information to the analytics system for  effective differentiation of the traffic metrics. This data will be  shown along with other paid traffic in your GA console.</p>
<p>For example you need to create URLs for the Yahoo, MSN campaigns.  you can do it easily.</p>
<ul>
<li><strong>Landing page:</strong> www.sample.com/trackingcode</li>
<li><strong>Variables:</strong> Source = Yahoo.com<em> </em>, medium = <em>CPC,</em> Keyword is <em>Example</em>.</li>
<li><strong>Custom  Tracking URL:</strong> http://www.sample.com/trackingcode?utm_source=yahoo  &amp;utm_medium=cpc&amp;utm_term=example&amp;utm_campaign=tracking%2Burls</li>
</ul>
<p>This is how you create unique URLs for each of the keywords and place  them in the campaigns. The keyword data from urls will be read by the  Analytics engine and stores them accordingly for display of the reports.  Yahoo also now provides Auto tagging IDs. Using this you do not have to  individually create unique URLs for each keyword, but create a single  URL for the campaign and the using the IDs, Yahoo system automatically  places them directly into the URLs. Before this you need to activate the  Auto tagging feature in the Yahoo dashboard.</p>
<ul>
<li><strong>New Variables: </strong>Term is {OVKey}, content is {OVADID}  and  campaign is {OVCAMPGID}.</li>
<li><strong>New Tracking URL:</strong> http://www.sample.com/trackingcode?utm_source=yahoo&amp;utm_medium=cpc  &amp;utm_term={OVKEY}&amp;utm_content={OVADID}&amp;utm_campaign={OVCAMPGID}</li>
</ul>
<p>Similarly this can be done for MSN campaigns and other smaller search  engine campaigns.</p>
<p><span style="text-decoration: underline;"><strong>Comparing Organic &amp; Paid traffic<br />
</strong></span><br />
Create profiles in Google Analytics to separate traffic  from Organic results and paid results. This will help monitor your  traffic separately in different profiles to view Site Overlay and other  reports effectively. One way of separating Organic and Paid traffic is  by applying filter in the main analytics settings of your GA account.  Create a profile of existing account and include only Organic traffic.</p>
<p>Filter Type: Custom Filter<br />
Select &#8220;Include&#8221;<br />
Filter Field:Campaign Source<br />
Filter Pattern: google|yahoo|msn</p>
<p>Filter Type: Custom Filter<br />
Select &#8220;Include&#8221;<br />
Filter Field:Campaign Medium<br />
Filter Pattern: organic</p>
<p>Once you have a profile with SEO traffic, you can track the  position of the SEO ranking keyword in the google results. Yes, you can  with the help of advance filters and custom filters.</p>
<p><span style="text-decoration: underline;"><strong>Adwords Search Keywords in Google Analytics (Paid Keywords)<br />
</strong></span><br />
You can track actual search keywords used to drive traffic  via Adwords listings inside Google Analytics. Once you integrate  Adwords with Analytics. You then need to setup few filters to see  keywords and positions in Keyword report.</p>
<p>Filter1: Filter Type &#8211;&gt; Custom Type  &#8211;&gt; Advanced</p>
<p>Field  A -&gt; Extract A<br />
Referral &#8211;&gt; (\?|&amp;)(q|p|query|kw|searchfor|wd)=([^&amp;]*)</p>
<p>Field  B -&gt; Extract B<br />
Campaign Medium &#8211;&gt; cpc|ppc</p>
<p>Output To -&gt; Constructor<br />
Custom Field 1 &#8211;&gt; $A3</p>
<p>Make  sure all fields are required and they do not need to be case sensitive,  then click Finish:</p>
<p>Filter 2<br />
Repeat above steps.<strong></strong></p>
<p><strong> </strong></p>
<p>Field  A -&gt; Extract A, choose Custom Field 1 &lt;&#8211; (.*)<br />
Field B -&gt; Extract B, choose Campaign Term &lt;&#8211; (.*)<br />
Output To  -&gt; Constructor choose Campaign Term &lt;&#8211; $B1, ($A1)<br />
Make sure  all fields are required and they do not need to be case sensitive, then  click Finish:</p>
<p>You should now be able to see Keywords in brackets against the  Adwords keywords. This is the actual keyword searched by the user. Based  on this study you can improve your targeting by including some of them  in negative list or add more keywords to your existing list.</p>
<p>How can you use this data:</p>
<p>1) Finding Negative Keywords: There could be users who are using some  keywords to find your site, however those keywords may be irrelevant.  These can provide ideas for negative keywords in Paid Campaigns</p>
<p>2) Keyword research: You can find more keywords which can added directly  into Paid campaigns or gain Organic rankings for higher positions.</p>
<p>3) Better Understanding of your Users&#8217; intention. These keywords will  give you an idea of what the user expects from your site.</p>
<p>4) Better Optimization of your Organic / Paid Campaigns for increasing  relevance and lower costs. You can groups your Ads better and structure  campaigns properly.</p>
<p>5) Create unique Ads with targeted messages for each set of common theme  keywords with separate campaign and destination URL(page)</p>
<p>6) Combining this data with revenue and ecommerce transaction data you  can get data about profitability of the keywords which will help you  optimize campaigns for higher profitability by focusing attention on  high performance keywords and purging non-profitable keywords.</p>
<p><span style="text-decoration: underline;"><strong>B) Tracking Referral Campaigns / Email Campaigns in GA<br />
</strong></span><br />
Email campaigns and referral campaigns can be tracked separately in your  GA using the URL builder for creating Ad urls. Each email campaign  contain the URL</p>
<p>Create a new Source: ExampleEmailContent<br />
Campaign Medium: Email<br />
Campaign Content: AdContentName<br />
Campaign Name: Email Campaign Name</p>
<p>We use this information for identifying a particular email campaign in  the Traffic Sources report. It gives a detailed information about the  source page, landing page, for each Email.</p>
<p>This way you can now track Email Exit rate, Email Conversion Rate, Email  Open Rate, Email Views, Email Click Through, Action After Email Clicks.</p>
<p>Using Email campaign data you can segment the data to view pageviews of  your website&#8217;s pages. Navigation summary of the pages, Funnel tracking  if you have set it up.</p>
<p><em>How can you use the email campaign data in GA</em></p>
<p>A) Effectiveness of the Email campaigns</p>
<p>B) Identify which of the email campaigns has more conversions. Therefore  focus more effort on similar theme and similar Geography.</p>
<p>C) Behavior of the different users on the website, from different Email  campaigns.</p>
<p>Similarly there are many insights that can be derived from this, such as  effectiveness of emails based on their engagement on the site for new  visitors and returning visitors, based on Average Depth / Visit and many  more.</p>
]]></content:encoded>
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		<item>
		<title>Google Analytics (LAB) Featured Examples</title>
		<link>http://web.analyticsblog.ca/2010/04/google-analytics-lab-featured-examples/</link>
		<comments>http://web.analyticsblog.ca/2010/04/google-analytics-lab-featured-examples/#comments</comments>
		<pubDate>Mon, 19 Apr 2010 05:18:42 +0000</pubDate>
		<dc:creator>Hossein Ebrahimi</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Tools and Plugins]]></category>
		<category><![CDATA[Web Analytics]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/?p=428</guid>
		<description><![CDATA[<p>Following is the link to Google Analytics LAB which has some useful applications and plugins to enhance the usage of Analytics data. You can find  plugins to Microsoft Excel to generate nicer reports as well as applications that allows you to embed Google Analytics reports into your web pages for the world to see.</p>
<p>These are [...]]]></description>
			<content:encoded><![CDATA[<p>Following is the link to Google Analytics LAB which has some useful applications and plugins to enhance the usage of Analytics data. You can find  plugins to Microsoft Excel to generate nicer reports as well as applications that allows you to embed Google Analytics reports into your web pages for the world to see.</p>
<p>These are not Google apps and Google makes no promises or representations about their performance, quality, or content, but some of them look useful</p>
<p><a href="http://code.google.com/apis/analytics/docs/gdata/gdataGallery.html">http://code.google.com/apis/analytics/docs/gdata/gdataGallery.html</a></p>
<p>/Hossein</p>
]]></content:encoded>
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		<item>
		<title>Will opt-out threaten Google Analytics?</title>
		<link>http://web.analyticsblog.ca/2010/03/will-opt-out-threaten-google-analytics/</link>
		<comments>http://web.analyticsblog.ca/2010/03/will-opt-out-threaten-google-analytics/#comments</comments>
		<pubDate>Fri, 19 Mar 2010 13:19:49 +0000</pubDate>
		<dc:creator>Hossein Ebrahimi</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Web Analytics]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/?p=299</guid>
		<description><![CDATA[<p>Google Analytics product manager Amy Chang explains that Google has been exploring the best method for making this happen, and details the solution:</p>
<p>&#8220;We concluded that the best approach would be to develop a global browser based plug-in to allow users to opt out of being tracked by Google Analytics. Our engineers are now hard at [...]]]></description>
			<content:encoded><![CDATA[<p>Google Analytics product manager Amy Chang explains that Google has been exploring the best method for making this happen, and details the solution:</p>
<blockquote><p><em>&#8220;We concluded that the best approach would be to develop a global browser based plug-in to allow users to opt out of being tracked by Google Analytics. Our engineers are now hard at work finalizing and testing this opt-out functionality.&#8221;</em></p></blockquote>
<p>According to Chang, the plugin will be available to the public in the &#8220;<em>coming weeks</em>&#8220;.</p>
<p><a href="http://analytics.blogspot.com/2010/03/more-choice-for-users-browser-based-opt.html">http://analytics.blogspot.com/2010/03/more-choice-for-users-browser-based-opt.html</a></p>
<p>Do you think it will effect GA or users who will know about the plugin and actually install it is probably minimal and the effect is not going to be significant?</p>
<p>/Hossein</p>
]]></content:encoded>
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		<title>Google Analytics Approved by the US Federal Government</title>
		<link>http://web.analyticsblog.ca/2010/02/google-analytics-approved-by-the-us-federal-government/</link>
		<comments>http://web.analyticsblog.ca/2010/02/google-analytics-approved-by-the-us-federal-government/#comments</comments>
		<pubDate>Sat, 20 Feb 2010 20:47:46 +0000</pubDate>
		<dc:creator>Hossein Ebrahimi</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>
		<category><![CDATA[Web Analytics]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/?p=69</guid>
		<description><![CDATA[<p>This is a good news, specially for companies and big firms to have a bit of peace of mind.</p>
<p>Also it makes it easier to us (consultants and web analytics  practitioners) to convince customers to use Goggle tools and take advantage of all free services that they are connected to each other and can help anyone [...]]]></description>
			<content:encoded><![CDATA[<p>This is a good news, specially for companies and big firms to have a bit of peace of mind.</p>
<p>Also it makes it easier to us (consultants and web analytics  practitioners) to convince customers to use Goggle tools and take advantage of all free services that they are connected to each other and can help anyone to improve their website and online presence.</p>
<p><a title="GA Approved By US Government" href="http://analytics.blogspot.com/2010/02/powerful-flexible-secure-and-now.html" target="_blank">http://analytics.blogspot.com/2010/02/powerful-flexible-secure-and-now.html</a></p>
<p>/Hossein</p>
]]></content:encoded>
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		<item>
		<title>A great talk on web metrics by Dan Siroker (A Must See!)</title>
		<link>http://web.analyticsblog.ca/2010/02/a-great-talk-on-web-metrics-by-dan-siroker-a-must-see/</link>
		<comments>http://web.analyticsblog.ca/2010/02/a-great-talk-on-web-metrics-by-dan-siroker-a-must-see/#comments</comments>
		<pubDate>Tue, 16 Feb 2010 15:42:31 +0000</pubDate>
		<dc:creator>Hossein Ebrahimi</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[A/B Testing]]></category>
		<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/?p=31</guid>
		<description><![CDATA[<p>Hi,</p>
<p>Firstly I would like to thank Herman for his great idea to setup this blog. I hope this will become a rich forum for us to share our ideas and worth to read articles.</p>
<p>My name is  Hossein Ebrhaimi and here is my first post,</p>
<p>Don’t miss it, watch it! It is a nice presentation.</p>
<p>Dan Siroker is [...]]]></description>
			<content:encoded><![CDATA[<p>Hi,</p>
<p>Firstly I would like to thank Herman for his great idea to setup this blog. I hope this will become a rich forum for us to share our ideas and worth to read articles.</p>
<p>My name is <strong> </strong><strong>Hossein Ebrhaimi</strong> and here is my first post,</p>
<p>Don’t miss it, watch it! It is a nice presentation.</p>
<p>Dan Siroker is former Google employee who helped Obama’s campaign and he is sharing  great lessons they learned during the campaign</p>
<p>They used GA and A/B testing (GWO) to improve their online presence  and they managed to collect million of dollars as donation using their website.</p>
<p>I as a person who is helping non-profit organizations to raise donation online, learned a lot from it. I hope you also enjoy it.</p>
<p><strong></strong><strong>How We Used Data to Win the Presidential Election:</strong></p>
<p><object classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="425" height="350" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="src" value="http://www.youtube.com/v/71bH8z6iqSc" /><embed type="application/x-shockwave-flash" width="425" height="350" src="http://www.youtube.com/v/71bH8z6iqSc"></embed></object></p>
]]></content:encoded>
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		<item>
		<title>Google Analytics Seminar</title>
		<link>http://web.analyticsblog.ca/2010/02/google-analytics-seminar/</link>
		<comments>http://web.analyticsblog.ca/2010/02/google-analytics-seminar/#comments</comments>
		<pubDate>Mon, 15 Feb 2010 23:35:44 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Google Analytics]]></category>

		<guid isPermaLink="false">http://web.analyticsblog.ca/http?web.analytics.ca/about</guid>
		<description><![CDATA[<p>You might have missed the Google Analytics seminar in Montreal last December 8 th and 9th, however, they are coming to Toronto in July 2010 (exact date and location not set yet). As for the next Montreal stop, you can check out Web Analytics Blog as we will be blogging about the seminar when the [...]]]></description>
			<content:encoded><![CDATA[<p>You might have missed the Google Analytics seminar in Montreal last December 8 th and 9th, however, they are coming to Toronto in July 2010 (exact date and location not set yet). As for the next Montreal stop, you can check out <a href="http://web.analyticsblog.ca">Web Analytics Blog</a> as we will be blogging about the seminar when the date is set. It should be in late Fall.</p>
<p>With return on investment (ROI) on everyone’s minds during these difficult economic times, you need to stay ahead of your competition by making every penny count. There is no better place to start than Analytics.</p>
]]></content:encoded>
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