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> <channel><title>Comments on: Mulling Over Attribution in Analytics</title> <atom:link href="http://www.alexlcohen.com/web-analytics/2009/01/13/attributio/feed/" rel="self" type="application/rss+xml" /><link>http://www.alexlcohen.com/web-analytics/2009/01/13/attributio/</link> <description>Actionable Advice for Better Internet Marketing.  A blog by Alex Cohen</description> <lastBuildDate>Sat, 04 Feb 2012 09:10:58 +0000</lastBuildDate> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.0.2</generator> <item><title>By: Not Understanding Your Attribution in Google Analytics is Like Shooting Yourself in The Foot &#124; Seed The Web</title><link>http://www.alexlcohen.com/web-analytics/2009/01/13/attributio/comment-page-1/#comment-3267</link> <dc:creator>Not Understanding Your Attribution in Google Analytics is Like Shooting Yourself in The Foot &#124; Seed The Web</dc:creator> <pubDate>Mon, 08 Nov 2010 20:15:45 +0000</pubDate> <guid
isPermaLink="false">http://www.alexlcohen.com/?p=503#comment-3267</guid> <description>[...] Mulling Over Attribution -www.alexlcohen.com [...]</description> <content:encoded><![CDATA[<p>[...] Mulling Over Attribution -www.alexlcohen.com [...]</p> ]]></content:encoded> </item> <item><title>By: John Lovett</title><link>http://www.alexlcohen.com/web-analytics/2009/01/13/attributio/comment-page-1/#comment-1891</link> <dc:creator>John Lovett</dc:creator> <pubDate>Thu, 15 Jan 2009 18:22:28 +0000</pubDate> <guid
isPermaLink="false">http://www.alexlcohen.com/?p=503#comment-1891</guid> <description>Hi Alex,While I&#039;m not a practitioner, I&#039;ve conducted substantial research on the topic of attribution. My data shows that 31% of marketers are attempting to calculate for attribution in some way, but the extent to which this is happening is entirely unclear.Stay tuned for a research report that I authored for Forrester on this topic as well as one additional white paper (that I know of) to be published soon. 2009 is the year for attribution adoption. I believe that within the next 18 months attribution will be a corporate mandate. Get started now.Cheers,
John</description> <content:encoded><![CDATA[<p>Hi Alex,</p><p>While I&#8217;m not a practitioner, I&#8217;ve conducted substantial research on the topic of attribution. My data shows that 31% of marketers are attempting to calculate for attribution in some way, but the extent to which this is happening is entirely unclear.</p><p>Stay tuned for a research report that I authored for Forrester on this topic as well as one additional white paper (that I know of) to be published soon. 2009 is the year for attribution adoption. I believe that within the next 18 months attribution will be a corporate mandate. Get started now.</p><p>Cheers,<br
/> John</p> ]]></content:encoded> </item> <item><title>By: DigitalAlex</title><link>http://www.alexlcohen.com/web-analytics/2009/01/13/attributio/comment-page-1/#comment-1887</link> <dc:creator>DigitalAlex</dc:creator> <pubDate>Wed, 14 Jan 2009 14:41:49 +0000</pubDate> <guid
isPermaLink="false">http://www.alexlcohen.com/?p=503#comment-1887</guid> <description>Hey Chris,That&#039;s a great point.  I don&#039;t know about you, but most of the web analysts I know stumble into the field and don&#039;t come from a statistical background.  The same is true of consumers of web analytics data -- marketers and brand managers.I know that Google Analytics does last click attribution, but I&#039;m not sure about the other tools off the top of my head.Have you seen anyone tackle this problem effectively by any of the vendors?  I&#039;m really curious if anyone&#039;s actually used the kind of statistical techniques you&#039;ve discussed.  It seems easier said than done.-Alex</description> <content:encoded><![CDATA[<p>Hey Chris,</p><p>That&#8217;s a great point.  I don&#8217;t know about you, but most of the web analysts I know stumble into the field and don&#8217;t come from a statistical background.  The same is true of consumers of web analytics data &#8212; marketers and brand managers.</p><p>I know that Google Analytics does last click attribution, but I&#8217;m not sure about the other tools off the top of my head.</p><p>Have you seen anyone tackle this problem effectively by any of the vendors?  I&#8217;m really curious if anyone&#8217;s actually used the kind of statistical techniques you&#8217;ve discussed.  It seems easier said than done.</p><p>-Alex</p> ]]></content:encoded> </item> <item><title>By: Chris G</title><link>http://www.alexlcohen.com/web-analytics/2009/01/13/attributio/comment-page-1/#comment-1885</link> <dc:creator>Chris G</dc:creator> <pubDate>Wed, 14 Jan 2009 05:47:24 +0000</pubDate> <guid
isPermaLink="false">http://www.alexlcohen.com/?p=503#comment-1885</guid> <description>I&#039;m very glad to see this topic being raised because it gets ignored too often by both vendors and analysts.  (Some) analysts don&#039;t think about it, and (some) vendors just pretend it isn&#039;t there.I&#039;ll go out on a limb and say that a one-size-fits-all attribution weighting scheme is about as bad as no attribution weighting scheme.  And guessing about the weights is little better.Academic marketing research has looked at the question of weights and how they can be derived from the data using multivariate methods. Once they&#039;re derived from data, they can be applied going forward with a lot more confidence than arbitrary schemes can.It&#039;s unfortunate how we in web analytics, with our little tabulations, are ridiculously far behind statistical techniques that have been out there for decades!</description> <content:encoded><![CDATA[<p>I&#8217;m very glad to see this topic being raised because it gets ignored too often by both vendors and analysts.  (Some) analysts don&#8217;t think about it, and (some) vendors just pretend it isn&#8217;t there.</p><p>I&#8217;ll go out on a limb and say that a one-size-fits-all attribution weighting scheme is about as bad as no attribution weighting scheme.  And guessing about the weights is little better.</p><p>Academic marketing research has looked at the question of weights and how they can be derived from the data using multivariate methods. Once they&#8217;re derived from data, they can be applied going forward with a lot more confidence than arbitrary schemes can.</p><p>It&#8217;s unfortunate how we in web analytics, with our little tabulations, are ridiculously far behind statistical techniques that have been out there for decades!</p> ]]></content:encoded> </item> </channel> </rss>
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