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	<title>Comments on: Web Stats: Using Multiple Metrics</title>
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	<link>http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-multiple-metrics/</link>
	<description>Just another Walker Blogs weblog</description>
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		<title>By: InsectaPod Blog &#187; Analysis</title>
		<link>http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-multiple-metrics/comment-page-1/#comment-83</link>
		<dc:creator>InsectaPod Blog &#187; Analysis</dc:creator>
		<pubDate>Tue, 06 May 2008 14:40:24 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-using-multiple-metrics/#comment-83</guid>
		<description>[...] web host. For the most part, this has been acceptable. I&#8217;ve also read some posts that suggest using multiple trackers is valuable, and that page views, which I tend to focus on, are less valuable than user sessions, which my [...]</description>
		<content:encoded><![CDATA[<p>[...] web host. For the most part, this has been acceptable. I&#8217;ve also read some posts that suggest using multiple trackers is valuable, and that page views, which I tend to focus on, are less valuable than user sessions, which my [...]</p>
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		<title>By: Brent Gustafson</title>
		<link>http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-multiple-metrics/comment-page-1/#comment-79</link>
		<dc:creator>Brent Gustafson</dc:creator>
		<pubDate>Wed, 18 Jul 2007 15:27:19 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-using-multiple-metrics/#comment-79</guid>
		<description>Matt, I think we&#039;re pretty much on the same page here.  I try to stress at the Walker that it&#039;s not the numbers that really matter as much as the trends of the numbers.  Turner is right on in saying that web stats are never perfectly accurate.  Given the small amount of data in the request string of a log file, there really is no way they can be, as Turner explains well.  But I think he is also hitting on worst case scenarios in his list.  There is also a bit of self regulated min-maxing that goes on with stats.  For every AOL user that counts as 10 visits on their own, there may be 10 people on one IP from a company counting as one person to offset it.  Of course that is a big reach in itself, but I would venture a guess that good stats software would have a margin of error around 15% or so.  That could be a lot but it&#039;s enough to let us make some general observations at least.



On comparing site to site, I believe you can do this, as long as your metric tool remains the same.  We use the same stats package (AWStats) across all of our sites, with the same settings, which means they&#039;re all treated the same.  That means even if our stats were are all wrong from real world numbers, all of the sites would be equally wrong.  This is why I focus on the trends, and the comparisons between sites don&#039;t focus on the numbers themselves but the disparity between them.  Obviously people spend a lot more time on the Channel than on our Tickets site.  That&#039;s mainly what I want to know, the actual amount of time is less important to me.



Now between the Walker and the Met, since we use different stats packages, yes, it becomes much harder.  Even if we both used Analog or AWStats we may have them configured differently.  This is why I&#039;m a big fan of Google Analytics.  Mainly because it&#039;s more accurate as it does use cookies and Javascript to capture data log files can&#039;t, but also because everyone that uses it has the same settings, which makes comparison between sites easier (and when Google updates, everyone gets the update at the same time).  The downside is of course plopping JS on every page on a site.  Even for us that&#039;s just not feasible at this time.



Anyway, I&#039;m always interested in how others interpret their stats.  It can be a bit of a guessing game, but it&#039;s nice to get new ideas from others.  Thanks for sharing.</description>
		<content:encoded><![CDATA[<p>Matt, I think we&#8217;re pretty much on the same page here.  I try to stress at the Walker that it&#8217;s not the numbers that really matter as much as the trends of the numbers.  Turner is right on in saying that web stats are never perfectly accurate.  Given the small amount of data in the request string of a log file, there really is no way they can be, as Turner explains well.  But I think he is also hitting on worst case scenarios in his list.  There is also a bit of self regulated min-maxing that goes on with stats.  For every AOL user that counts as 10 visits on their own, there may be 10 people on one IP from a company counting as one person to offset it.  Of course that is a big reach in itself, but I would venture a guess that good stats software would have a margin of error around 15% or so.  That could be a lot but it&#8217;s enough to let us make some general observations at least.</p>
<p>On comparing site to site, I believe you can do this, as long as your metric tool remains the same.  We use the same stats package (AWStats) across all of our sites, with the same settings, which means they&#8217;re all treated the same.  That means even if our stats were are all wrong from real world numbers, all of the sites would be equally wrong.  This is why I focus on the trends, and the comparisons between sites don&#8217;t focus on the numbers themselves but the disparity between them.  Obviously people spend a lot more time on the Channel than on our Tickets site.  That&#8217;s mainly what I want to know, the actual amount of time is less important to me.</p>
<p>Now between the Walker and the Met, since we use different stats packages, yes, it becomes much harder.  Even if we both used Analog or AWStats we may have them configured differently.  This is why I&#8217;m a big fan of Google Analytics.  Mainly because it&#8217;s more accurate as it does use cookies and Javascript to capture data log files can&#8217;t, but also because everyone that uses it has the same settings, which makes comparison between sites easier (and when Google updates, everyone gets the update at the same time).  The downside is of course plopping JS on every page on a site.  Even for us that&#8217;s just not feasible at this time.</p>
<p>Anyway, I&#8217;m always interested in how others interpret their stats.  It can be a bit of a guessing game, but it&#8217;s nice to get new ideas from others.  Thanks for sharing.</p>
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		<title>By: Matt Morgan</title>
		<link>http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-multiple-metrics/comment-page-1/#comment-82</link>
		<dc:creator>Matt Morgan</dc:creator>
		<pubDate>Wed, 18 Jul 2007 14:11:59 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-using-multiple-metrics/#comment-82</guid>
		<description>Brent, what do you think of this:



http://analog.cx/docs/webworks.html



in particular, the &quot;What you can&#039;t know&quot; section? I&#039;ve been using Analog forever and Stephen Turner may know more about web analysis than anyone. Basically, his point is that any measure of visits (user sessions) or visitors is a) inherently wrong, at least to a degree, and b) not comparable from site to site. So it makes sense to use page views as a point of comparison.



We tend to look at &quot;page views by section,&quot; eg to avoid the problem of comparing the Works of Art section (where people tend to click quickly through several pages) to the Visitor Info section (where we hope they find what they&#039;re looking for without having to click very much at all). It&#039;s like your tickets vs. blogs issue. And then we use &quot;visits&quot; internally, but mainly for two reasons:



1) as long as we don&#039;t change our server-side caching, and there aren&#039;t huge shifts in how users cache, we can track site growth over short (months to a year, say) periods of time.

2) The comparison to physical museum visits is too tempting to avoid making, even if I think it&#039;s a little bogus. We try to back it up with surveys to figure out how often people come to website/museum (but that&#039;s a lot of work).



&quot;Page views&quot; of course makes less sense with very dynamic pages, and I haven&#039;t really figured out what to do about that. But it will mean that year-on-year comparisons are harder to make as we add more dynamic pages to the site.



Thanks,

Matt</description>
		<content:encoded><![CDATA[<p>Brent, what do you think of this:</p>
<p><a href="http://analog.cx/docs/webworks.html" rel="nofollow">http://analog.cx/docs/webworks.html</a></p>
<p>in particular, the &#8220;What you can&#8217;t know&#8221; section? I&#8217;ve been using Analog forever and Stephen Turner may know more about web analysis than anyone. Basically, his point is that any measure of visits (user sessions) or visitors is a) inherently wrong, at least to a degree, and b) not comparable from site to site. So it makes sense to use page views as a point of comparison.</p>
<p>We tend to look at &#8220;page views by section,&#8221; eg to avoid the problem of comparing the Works of Art section (where people tend to click quickly through several pages) to the Visitor Info section (where we hope they find what they&#8217;re looking for without having to click very much at all). It&#8217;s like your tickets vs. blogs issue. And then we use &#8220;visits&#8221; internally, but mainly for two reasons:</p>
<p>1) as long as we don&#8217;t change our server-side caching, and there aren&#8217;t huge shifts in how users cache, we can track site growth over short (months to a year, say) periods of time.</p>
<p>2) The comparison to physical museum visits is too tempting to avoid making, even if I think it&#8217;s a little bogus. We try to back it up with surveys to figure out how often people come to website/museum (but that&#8217;s a lot of work).</p>
<p>&#8220;Page views&#8221; of course makes less sense with very dynamic pages, and I haven&#8217;t really figured out what to do about that. But it will mean that year-on-year comparisons are harder to make as we add more dynamic pages to the site.</p>
<p>Thanks,</p>
<p>Matt</p>
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	<item>
		<title>By: New Media Initiatives Blog &#187; Walker websites usage statistics</title>
		<link>http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-multiple-metrics/comment-page-1/#comment-80</link>
		<dc:creator>New Media Initiatives Blog &#187; Walker websites usage statistics</dc:creator>
		<pubDate>Fri, 13 Jul 2007 21:40:59 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-using-multiple-metrics/#comment-80</guid>
		<description>[...] The four main metrics we report are page views, unique visitors, user sessions, and user hours. We emphasize users sessions, believing they are the best comparison to the Center&#039;s attendance numbers, while recognizing that all web statistics are subject to inherit caveats. For more on importance of using multiple metrics, see Brent&#039;s recent post. [...]</description>
		<content:encoded><![CDATA[<p>[...] The four main metrics we report are page views, unique visitors, user sessions, and user hours. We emphasize users sessions, believing they are the best comparison to the Center&#8217;s attendance numbers, while recognizing that all web statistics are subject to inherit caveats. For more on importance of using multiple metrics, see Brent&#8217;s recent post. [...]</p>
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	<item>
		<title>By: University Update - AJAX - Web Stats: Using Multiple Metrics</title>
		<link>http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-multiple-metrics/comment-page-1/#comment-81</link>
		<dc:creator>University Update - AJAX - Web Stats: Using Multiple Metrics</dc:creator>
		<pubDate>Tue, 10 Jul 2007 17:47:23 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.walkerart.org/newmedia/2007/07/10/web-stats-using-multiple-metrics/#comment-81</guid>
		<description>[...]                       Link to Article                ajax Web Stats: Using Multiple Metrics &#187;  Posted at New Media Initiatives Blog [...]</description>
		<content:encoded><![CDATA[<p>[...]                       Link to Article                ajax Web Stats: Using Multiple Metrics &#187;  Posted at New Media Initiatives Blog [...]</p>
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