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	<title>Comments on: Using Sankey diagrams for visualizing web site performance</title>
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	<description>A Sankey diagram says more than 1000 pie charts</description>
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		<title>By: unordained</title>
		<link>http://www.sankey-diagrams.com/using-sankey-diagrams-for-visualizing-web-site-performance/comment-page-1/#comment-1688</link>
		<dc:creator>unordained</dc:creator>
		<pubDate>Wed, 05 Nov 2008 23:25:39 +0000</pubDate>
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		<description>A related graph could show, for each page hit (not session) how many are a &quot;final&quot; page load, vs. an intermediary page load; you could spread them out, replacing your &quot;page load&quot; with &quot;page load 1&quot;, &quot;page load 2&quot;, etc. and at each stage, showing how many users succeeded, continued, or dropped out, to gauge how long a visitor is willing to poke around before giving up, how quickly they&#039;re finding what they came for (or you wanted them to find); you could also track this (using the &quot;traffic&quot; view, where color bands continue through nodes, not stopping and merging) to show differences between returning/organic/referral/direct visitors, and what their tolerances are -- are returning visitors more likely to click through several pages, for example?</description>
		<content:encoded><![CDATA[<p>A related graph could show, for each page hit (not session) how many are a &#8220;final&#8221; page load, vs. an intermediary page load; you could spread them out, replacing your &#8220;page load&#8221; with &#8220;page load 1&#8243;, &#8220;page load 2&#8243;, etc. and at each stage, showing how many users succeeded, continued, or dropped out, to gauge how long a visitor is willing to poke around before giving up, how quickly they&#8217;re finding what they came for (or you wanted them to find); you could also track this (using the &#8220;traffic&#8221; view, where color bands continue through nodes, not stopping and merging) to show differences between returning/organic/referral/direct visitors, and what their tolerances are &#8212; are returning visitors more likely to click through several pages, for example?</p>
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