<?xml version="1.0" encoding="ISO-8859-2"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Top Limitations of Google Analytics</title>
	<atom:link href="http://luke.szkudlarek.pl/blog/2007/11/07/the-top-limitations-of-google-analytics/feed/" rel="self" type="application/rss+xml" />
	<link>http://luke.szkudlarek.pl/blog/2007/11/07/the-top-limitations-of-google-analytics/</link>
	<description>Digital Marketing, Web Analytics</description>
	<lastBuildDate>Wed, 21 Jul 2010 15:45:16 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0</generator>
	<item>
		<title>By: Adam Tudor</title>
		<link>http://luke.szkudlarek.pl/blog/2007/11/07/the-top-limitations-of-google-analytics/comment-page-1/#comment-24449</link>
		<dc:creator>Adam Tudor</dc:creator>
		<pubDate>Tue, 26 May 2009 08:23:11 +0000</pubDate>
		<guid isPermaLink="false">http://luke.szkudlarek.pl/blog/2007/11/07/the-top-limitations-of-google-analytics/#comment-24449</guid>
		<description>In terms of tracking multiple links off one page through the overlay analysis, the easiest way to get around this is by adding query string parameters to each of the links, ie. &amp;link=1, &amp; link=2.  Google Analytics will then treat the two links separately and track their clicks individually as opposed to together.</description>
		<content:encoded><![CDATA[<p>In terms of tracking multiple links off one page through the overlay analysis, the easiest way to get around this is by adding query string parameters to each of the links, ie. &amp;link=1, &amp; link=2.  Google Analytics will then treat the two links separately and track their clicks individually as opposed to together.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Andy</title>
		<link>http://luke.szkudlarek.pl/blog/2007/11/07/the-top-limitations-of-google-analytics/comment-page-1/#comment-3515</link>
		<dc:creator>Andy</dc:creator>
		<pubDate>Fri, 01 Feb 2008 15:35:04 +0000</pubDate>
		<guid isPermaLink="false">http://luke.szkudlarek.pl/blog/2007/11/07/the-top-limitations-of-google-analytics/#comment-3515</guid>
		<description>Nice article. I am also considering the various limitations of GA and think you&#039;ve been a bit too nice on your point 8 where you briefly mention that the site overlay isn&#039;t 100% accurate...

My understanding is that in the event where you have two links on page A which both point to page B, it&#039;s impossible to know which of the two links has actually been clicked on. If one was clicked on 99 times, and the other was clicked on once, both would show 100. Is this an accurate assessment? If so - do you know of any potential workarounds to this? Obviously, developing a heatmap solution would be very helpful in understanding which links were more regularly used by users, but I was hoping there might be another (more available) solution...</description>
		<content:encoded><![CDATA[<p>Nice article. I am also considering the various limitations of GA and think you&#8217;ve been a bit too nice on your point 8 where you briefly mention that the site overlay isn&#8217;t 100% accurate&#8230;</p>
<p>My understanding is that in the event where you have two links on page A which both point to page B, it&#8217;s impossible to know which of the two links has actually been clicked on. If one was clicked on 99 times, and the other was clicked on once, both would show 100. Is this an accurate assessment? If so &#8211; do you know of any potential workarounds to this? Obviously, developing a heatmap solution would be very helpful in understanding which links were more regularly used by users, but I was hoping there might be another (more available) solution&#8230;</p>
]]></content:encoded>
	</item>
</channel>
</rss>
