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	<title>Comments on: Measuring Online Engagement: What Role Does Web Analytics Play?</title>
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	<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html</link>
	<description>Pluralitas non est ponenda sine neccesitate.</description>
	<pubDate>Mon, 08 Sep 2008 12:08:38 +0000</pubDate>
	<generator>http://wordpress.org/?v=2.6.1</generator>
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		<title>By: Liddle Thoughts &#187; Blog Archive &#187; Amazon found every 100ms of latency cost them 1% in sales.</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-471193</link>
		<dc:creator>Liddle Thoughts &#187; Blog Archive &#187; Amazon found every 100ms of latency cost them 1% in sales.</dc:creator>
		<pubDate>Wed, 27 Aug 2008 12:41:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-471193</guid>
		<description>[...] The less interactive a site becomes the more likely users are to click away and do something else. Latency is the mother of interactivity. Though it’s possible through various UI techniques to make pages subjectively feel faster, slow sites generally lead to higher customer defection rates, which lead to lower conversation rates, which results in lower sales. Yet for some reason latency isn’t a topic talked a lot about for web apps. We talk a lot about about building high-capacity sites, but very little about how to build low-latency sites. We apparently do so at the expense of our immortal bottom line. [...]</description>
		<content:encoded><![CDATA[<p>[...] The less interactive a site becomes the more likely users are to click away and do something else. Latency is the mother of interactivity. Though it’s possible through various UI techniques to make pages subjectively feel faster, slow sites generally lead to higher customer defection rates, which lead to lower conversation rates, which results in lower sales. Yet for some reason latency isn’t a topic talked a lot about for web apps. We talk a lot about about building high-capacity sites, but very little about how to build low-latency sites. We apparently do so at the expense of our immortal bottom line. [...]</p>
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		<title>By: Devin Ben-Hur</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-471144</link>
		<dc:creator>Devin Ben-Hur</dc:creator>
		<pubDate>Tue, 26 Aug 2008 20:11:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-471144</guid>
		<description>Your formula in the image is wrong.

http://www.kaushik.net/avinash/wp-content/uploads/2008/01/x-greater-than-y.png

Reverse the sense or swap the operands of one of the greater-than operators.

Kapish?</description>
		<content:encoded><![CDATA[<p>Your formula in the image is wrong.</p>
<p><a href="http://www.kaushik.net/avinash/wp-content/uploads/2008/01/x-greater-than-y.png" rel="nofollow">http://www.kaushik.net/avinash/wp-content/uploads/2008/01/x-greater-than-y.png</a></p>
<p>Reverse the sense or swap the operands of one of the greater-than operators.</p>
<p>Kapish?</p>
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		<title>By: The Art of Web Analytics &#187; Blog Archive &#187; Are Online Surveys Reliable?</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-467246</link>
		<dc:creator>The Art of Web Analytics &#187; Blog Archive &#187; Are Online Surveys Reliable?</dc:creator>
		<pubDate>Thu, 24 Jul 2008 14:38:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-467246</guid>
		<description>[...] However, in a short term perspective, such as during a visit, engagement and satisfaction are not correlated. They are only related in the sense that satisfaction presupposes engagement. As such, it could be argued that respondents, who do not engage at all (e.g. those who bounce), should be disregarded entirely when calculating satisfaction scores. Given that such respondents have almost no experience with the website their “evaluation” of it must be considered unreliable. By the same token, it could be argued that highly engaged respondents, who still express dissatisfaction, should be given more weight insofar as their evaluations are more reliable. (See also the discussion on engagements in “Measuring Online Engagement: What Role Does Web Analytics Play?” and ”Responding to Geertz, Papadakis and others.”)  [...]</description>
		<content:encoded><![CDATA[<p>[...] However, in a short term perspective, such as during a visit, engagement and satisfaction are not correlated. They are only related in the sense that satisfaction presupposes engagement. As such, it could be argued that respondents, who do not engage at all (e.g. those who bounce), should be disregarded entirely when calculating satisfaction scores. Given that such respondents have almost no experience with the website their “evaluation” of it must be considered unreliable. By the same token, it could be argued that highly engaged respondents, who still express dissatisfaction, should be given more weight insofar as their evaluations are more reliable. (See also the discussion on engagements in “Measuring Online Engagement: What Role Does Web Analytics Play?” and ”Responding to Geertz, Papadakis and others.”)  [...]</p>
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		<title>By: La diferencia entre medir engagement y medir clicks &#124; Javier Godoy</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-464959</link>
		<dc:creator>La diferencia entre medir engagement y medir clicks &#124; Javier Godoy</dc:creator>
		<pubDate>Mon, 30 Jun 2008 12:12:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-464959</guid>
		<description>[...]
Medir el engagement de los usuarios que nos visitan es el tema de moda entre los expertos en analítica web, dada la importancia que esta tomando la web social frente a la web de página vista por visita.

Medir el engagement sin embargo es difícil porque a diferencia de click o la página vista, que suceden en nuestro site, esto otro ocurre en el usuario, en sus sentimientos y actitudes. 
[...]</description>
		<content:encoded><![CDATA[<p>[...]<br />
Medir el engagement de los usuarios que nos visitan es el tema de moda entre los expertos en analítica web, dada la importancia que esta tomando la web social frente a la web de página vista por visita.</p>
<p>Medir el engagement sin embargo es difícil porque a diferencia de click o la página vista, que suceden en nuestro site, esto otro ocurre en el usuario, en sus sentimientos y actitudes.<br />
[...]</p>
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		<title>By: TheWayoftheWeb &#187; Consumers and bosses&#8230;</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-463384</link>
		<dc:creator>TheWayoftheWeb &#187; Consumers and bosses&#8230;</dc:creator>
		<pubDate>Thu, 12 Jun 2008 13:13:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-463384</guid>
		<description>[...] If you need a refreshing reminder about making things clearer for the rest of your company, and particularly more senior management, bosses, and CEOs, Avinash Kaushik has some good posts on Occam’s Razor which can feel like they pour a bit of cold water on the evangelical aspects of community and social media - but actually really help clarify the most useful methods of making things simple and effective - rather than relying on enthusiasm, buzzwords, and what it’s easy to assume is the inescapable logic of enagaging communities. Particularly this one, and this one! [...]</description>
		<content:encoded><![CDATA[<p>[...] If you need a refreshing reminder about making things clearer for the rest of your company, and particularly more senior management, bosses, and CEOs, Avinash Kaushik has some good posts on Occam’s Razor which can feel like they pour a bit of cold water on the evangelical aspects of community and social media - but actually really help clarify the most useful methods of making things simple and effective - rather than relying on enthusiasm, buzzwords, and what it’s easy to assume is the inescapable logic of enagaging communities. Particularly this one, and this one! [...]</p>
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		<title>By: Warum wir eine Arbeitsgemeinschaft Blog- und Communityforschung brauchen at viralmythen</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-433424</link>
		<dc:creator>Warum wir eine Arbeitsgemeinschaft Blog- und Communityforschung brauchen at viralmythen</dc:creator>
		<pubDate>Wed, 12 Mar 2008 22:17:18 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-433424</guid>
		<description>[...] Zugleich fehlen nach wie vor grundlegende Informationen, zum Beispiel darüber, wie groß die deutschsprachige Blogosphäre überhaupt ist (unter Berücksichtigung von Serien- und Multibloggern sowie Weblogvakanzen), wie relevant die dort diskutierten Themen für massenmediale Öffentlichkeiten sind (die Annahmen reichen von einer selbstreferentiellen Copy-and-Paste-Kultur bis hin zum Nachfolger der Printzeitungen) und vor allem auch: von wem die Millionen von Einträgen überhaupt gelesen werden. Wie sieht die soziokulturelle und demographische Struktur der Blogleser aus und wie verändert sich diese im Lauf der Zeit? Wie groß ist das Engagement im Neuen Netz tatsächlich? Kurz: der Forschungsbedarf ist nicht zu übersehen. [...]</description>
		<content:encoded><![CDATA[<p>[...] Zugleich fehlen nach wie vor grundlegende Informationen, zum Beispiel darüber, wie groß die deutschsprachige Blogosphäre überhaupt ist (unter Berücksichtigung von Serien- und Multibloggern sowie Weblogvakanzen), wie relevant die dort diskutierten Themen für massenmediale Öffentlichkeiten sind (die Annahmen reichen von einer selbstreferentiellen Copy-and-Paste-Kultur bis hin zum Nachfolger der Printzeitungen) und vor allem auch: von wem die Millionen von Einträgen überhaupt gelesen werden. Wie sieht die soziokulturelle und demographische Struktur der Blogleser aus und wie verändert sich diese im Lauf der Zeit? Wie groß ist das Engagement im Neuen Netz tatsächlich? Kurz: der Forschungsbedarf ist nicht zu übersehen. [...]</p>
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		<title>By: eBiznes, pozycjonowanie i copywriting &#187; Blog Archive &#187; Obligacja u?ytkowników i narz?dzia analityczne</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-430108</link>
		<dc:creator>eBiznes, pozycjonowanie i copywriting &#187; Blog Archive &#187; Obligacja u?ytkowników i narz?dzia analityczne</dc:creator>
		<pubDate>Thu, 06 Mar 2008 09:54:18 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-430108</guid>
		<description>[...] Kaushik, pisarz jednego z&#160;moich ulubionych blogów, napisa? ostatnim razem o&#160;roli narz?dzi analitycznych w&#160;pomiarze zaanga?owania u?ytkowników online. Trudno?? jest ca?kiem przenikliwy i&#160;jednocze?nie dotychczasowy. To? [...]</description>
		<content:encoded><![CDATA[<p>[...] Kaushik, pisarz jednego z&nbsp;moich ulubionych blogów, napisa? ostatnim razem o&nbsp;roli narz?dzi analitycznych w&nbsp;pomiarze zaanga?owania u?ytkowników online. Trudno?? jest ca?kiem przenikliwy i&nbsp;jednocze?nie dotychczasowy. To? [...]</p>
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		<title>By: Encouraging customer engagement or preventing customer disengagement? &#171; Agora</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-425573</link>
		<dc:creator>Encouraging customer engagement or preventing customer disengagement? &#171; Agora</dc:creator>
		<pubDate>Thu, 28 Feb 2008 09:13:56 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-425573</guid>
		<description>[...] I have suggested before, I think that it is very useful to classify the ways in which customers engage along two dimensions: kind (positive - negative) and degree (high, passionate - low, apathy). In order for the scale/continuum of degrees of engagement to make sense it is necessary (read why this is necessary here) to first identify what the average degree of engagement is. I will take positive engagement as an example. [...]</description>
		<content:encoded><![CDATA[<p>[...] I have suggested before, I think that it is very useful to classify the ways in which customers engage along two dimensions: kind (positive - negative) and degree (high, passionate - low, apathy). In order for the scale/continuum of degrees of engagement to make sense it is necessary (read why this is necessary here) to first identify what the average degree of engagement is. I will take positive engagement as an example. [...]</p>
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		<title>By: Persuasive e-Marketing&#187; Blog Archive &#187; Personas and Segments and Engagement oh my…</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-425210</link>
		<dc:creator>Persuasive e-Marketing&#187; Blog Archive &#187; Personas and Segments and Engagement oh my…</dc:creator>
		<pubDate>Wed, 27 Feb 2008 22:18:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-425210</guid>
		<description>[...] I spent all of Monday evening skipping back and forth between the NHL trade deadline and an insightful article by Theo Papadakis on Occam’s Razor about engagement profiling and metrics. He states that while visitor engagement is important for marketers, web analytics can only provide relative degrees of engagement (and even those can’t be proven to be positive or negative) [...]</description>
		<content:encoded><![CDATA[<p>[...] I spent all of Monday evening skipping back and forth between the NHL trade deadline and an insightful article by Theo Papadakis on Occam’s Razor about engagement profiling and metrics. He states that while visitor engagement is important for marketers, web analytics can only provide relative degrees of engagement (and even those can’t be proven to be positive or negative) [...]</p>
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		<title>By: internetszene.com &#187; Archiv &#187; Kennzahlen zur Community-Forschung (1)</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-423714</link>
		<dc:creator>internetszene.com &#187; Archiv &#187; Kennzahlen zur Community-Forschung (1)</dc:creator>
		<pubDate>Tue, 26 Feb 2008 00:36:52 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-423714</guid>
		<description>[...] Unter anderem durch die (lohnenswerte) zeitliche Belastung, die die Mit-Organisation des BarCamps erfordert hatte, hatte ich kaum Zeit gehabt, mich auf die Session vorzubereiten. Als völlig unbeschriebenes Blatt beim Thema Community-Forschung versuchte ich, den Input aus der Session und aus meiner einzigen Vorbereitungslektüre fortlaufend in Gedanken zu strukturieren. Vielleicht hörte der ein oder andere Session-Teilnehmer die Zahnräder in meinem Oberstübchen mahlen – heraus kam ein bescheidenes, nach der Session hastig auf Papier gekritzeltes Schema, das ich morgen versuche, hier im Blog abzubilden. Erst mal schlafen gehen…  [...]</description>
		<content:encoded><![CDATA[<p>[...] Unter anderem durch die (lohnenswerte) zeitliche Belastung, die die Mit-Organisation des BarCamps erfordert hatte, hatte ich kaum Zeit gehabt, mich auf die Session vorzubereiten. Als völlig unbeschriebenes Blatt beim Thema Community-Forschung versuchte ich, den Input aus der Session und aus meiner einzigen Vorbereitungslektüre fortlaufend in Gedanken zu strukturieren. Vielleicht hörte der ein oder andere Session-Teilnehmer die Zahnräder in meinem Oberstübchen mahlen – heraus kam ein bescheidenes, nach der Session hastig auf Papier gekritzeltes Schema, das ich morgen versuche, hier im Blog abzubilden. Erst mal schlafen gehen…  [...]</p>
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		<title>By: Het &#8220;meten&#8221; van engagement en de relatie tot Communities of Practice &#124; MartinKloos.nl</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-422814</link>
		<dc:creator>Het &#8220;meten&#8221; van engagement en de relatie tot Communities of Practice &#124; MartinKloos.nl</dc:creator>
		<pubDate>Sun, 24 Feb 2008 10:28:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-422814</guid>
		<description>[...] De vraag is natuurlijk of een vaag concept als engagement gemeten kan worden (lees een reactie van –Rene hier. Helemaal eens natuurlijk). Gelukkig ben ik niet de enige die die vraag stelt (heel goede post trouwens!) en is ook Nuconomy niet te beroerd om die vraag aan de orde te stellen. Aan de screenshots te zien wordt engagement onder meer gemeten door te kijken naar dingen als unieke gebruikers, bezoeken, gemiddelde tijd besteed op de site, bounce hits, page hits, talkbacks, aantal foto’s en video’s geupload, rss subscripties, friend requests, ratings, aantal klikken op advertenties, aankopen, posts en reacties. [...]</description>
		<content:encoded><![CDATA[<p>[...] De vraag is natuurlijk of een vaag concept als engagement gemeten kan worden (lees een reactie van –Rene hier. Helemaal eens natuurlijk). Gelukkig ben ik niet de enige die die vraag stelt (heel goede post trouwens!) en is ook Nuconomy niet te beroerd om die vraag aan de orde te stellen. Aan de screenshots te zien wordt engagement onder meer gemeten door te kijken naar dingen als unieke gebruikers, bezoeken, gemiddelde tijd besteed op de site, bounce hits, page hits, talkbacks, aantal foto’s en video’s geupload, rss subscripties, friend requests, ratings, aantal klikken op advertenties, aankopen, posts en reacties. [...]</p>
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		<title>By: User First Web &#187; links for&#160;2008-02-08</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-413367</link>
		<dc:creator>User First Web &#187; links for&#160;2008-02-08</dc:creator>
		<pubDate>Fri, 08 Feb 2008 07:22:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-413367</guid>
		<description>[...] Measuring Online Engagement: What Role Does Web Analytics Play? &#124; Occam’s Razor by Avinash Kaushik (tags: analytics engagement) [...]</description>
		<content:encoded><![CDATA[<p>[...] Measuring Online Engagement: What Role Does Web Analytics Play? | Occam’s Razor by Avinash Kaushik (tags: analytics engagement) [...]</p>
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		<title>By: Theo Papadakis</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411862</link>
		<dc:creator>Theo Papadakis</dc:creator>
		<pubDate>Tue, 05 Feb 2008 10:07:24 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411862</guid>
		<description>Gab: What you say, I think captures everything, and helps turn 'more than' relative statements into meaningful, is "engaged above\below average" i.e. "is engaged" or "is not engaged" (the degree of engagement or disengaged being a matter of further refining this further). 

In step one it does not need to be a single behaviour. It can also be a composite of equally or differentially weighted behaviours.

Having defined when engagement and when disengagement begins, it is possible to take action, say by trying to re-engage disengaging customers.</description>
		<content:encoded><![CDATA[<p>Gab: What you say, I think captures everything, and helps turn &#8216;more than&#8217; relative statements into meaningful, is &#8220;engaged above\below average&#8221; i.e. &#8220;is engaged&#8221; or &#8220;is not engaged&#8221; (the degree of engagement or disengaged being a matter of further refining this further). </p>
<p>In step one it does not need to be a single behaviour. It can also be a composite of equally or differentially weighted behaviours.</p>
<p>Having defined when engagement and when disengagement begins, it is possible to take action, say by trying to re-engage disengaging customers.</p>
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		<title>By: A Framework for Engagement - Implementation &#187; Marketing Productivity Blog &#187; Blog Archive</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411690</link>
		<dc:creator>A Framework for Engagement - Implementation &#187; Marketing Productivity Blog &#187; Blog Archive</dc:creator>
		<pubDate>Tue, 05 Feb 2008 03:14:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411690</guid>
		<description>[...] place to start.  Depending on your business model, you should probably also take a look at what Theo proposes in terms of Kind and Degree for survey work once you have dis-Engagement behavior as a trigger for the [...]</description>
		<content:encoded><![CDATA[<p>[...] place to start.  Depending on your business model, you should probably also take a look at what Theo proposes in terms of Kind and Degree for survey work once you have dis-Engagement behavior as a trigger for the [...]</p>
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		<title>By: Gab "SEO ROI" Goldenberg</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411591</link>
		<dc:creator>Gab "SEO ROI" Goldenberg</dc:creator>
		<pubDate>Tue, 05 Feb 2008 00:08:52 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411591</guid>
		<description>Oh, and you understood my nuance about being negatively engaged yet still a customer perfectly. The second MSN/Yahoo gains enough share of search to make it worht the effort to set up campaigns there, I'll be shifting dollars there.</description>
		<content:encoded><![CDATA[<p>Oh, and you understood my nuance about being negatively engaged yet still a customer perfectly. The second MSN/Yahoo gains enough share of search to make it worht the effort to set up campaigns there, I&#8217;ll be shifting dollars there.</p>
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		<title>By: Gab "SEO ROI" Goldenberg</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411590</link>
		<dc:creator>Gab "SEO ROI" Goldenberg</dc:creator>
		<pubDate>Tue, 05 Feb 2008 00:07:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411590</guid>
		<description>Ah, well thanks for clarifying that it wasn't just me being a moron lol.

Err, the formula's still a bit abstract Theo. Any chance you could get a bit practical? Or just tell me if my paraphrase captures the essential.

1) You set a behaviour as your proxy for engagement.

2) You set a level of performing the behaviour as as average engagement. This refers to degree, of course, not kind.

3) If you perform the behaviour more than said level (step 2), you have a high degree of engagement.

4) If you're doing less of said behaviour than the average level, you have a low degree of engagement.

Was that it?</description>
		<content:encoded><![CDATA[<p>Ah, well thanks for clarifying that it wasn&#8217;t just me being a moron lol.</p>
<p>Err, the formula&#8217;s still a bit abstract Theo. Any chance you could get a bit practical? Or just tell me if my paraphrase captures the essential.</p>
<p>1) You set a behaviour as your proxy for engagement.</p>
<p>2) You set a level of performing the behaviour as as average engagement. This refers to degree, of course, not kind.</p>
<p>3) If you perform the behaviour more than said level (step 2), you have a high degree of engagement.</p>
<p>4) If you&#8217;re doing less of said behaviour than the average level, you have a low degree of engagement.</p>
<p>Was that it?</p>
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		<title>By: Theo Papadakis</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411248</link>
		<dc:creator>Theo Papadakis</dc:creator>
		<pubDate>Mon, 04 Feb 2008 14:10:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411248</guid>
		<description>&lt;b&gt;Gab:&lt;/b&gt; You are right. There is a mistake in the formula that tries to express that one person is more engaged than another:

“By inserting relative statements such as ‘x is more engaged than y if and only if x does z and y does &gt;z’ into a continuum that is based on website \ competitor \ industry benchmarks…”

It should read ‘y does &lt;z’.

Thank you very much for pointing this out! 

However this made me think as to how to rephrase the formula when we have identified and defined the benchmark, hence giving the statement a fixed reference point.

Defining the symbols:

z=   (number) – this number expresses degree of engagement according to a particular action. Any number greater than this number expresses an above average degree of engagement and suggests the customer is engaged whereas any number lower than this number expresses an above average degree of engagement and suggests the customer is not engaged.

G= does (behaviour) more than z – slot in whatever behaviour you want in the bracket.

H= does (behaviour) less than z – slot in whatever behaviour you want in the bracket.

F = is engaged

J = is not engaged

The formula: If (Gx &#038; Hy) then (Fx &#038; Jy)

In predicate calculus: (Gx &#038; Hy) -&gt; (Fx &#038; Jy)

This formula says: if x does G and y does H than x is F and y is J.</description>
		<content:encoded><![CDATA[<p><b>Gab:</b> You are right. There is a mistake in the formula that tries to express that one person is more engaged than another:</p>
<p>“By inserting relative statements such as ‘x is more engaged than y if and only if x does z and y does >z’ into a continuum that is based on website \ competitor \ industry benchmarks…”</p>
<p>It should read ‘y does <z ’.</p>
<p>Thank you very much for pointing this out! </p>
<p>However this made me think as to how to rephrase the formula when we have identified and defined the benchmark, hence giving the statement a fixed reference point.</p>
<p>Defining the symbols:</p>
<p>z=   (number) – this number expresses degree of engagement according to a particular action. Any number greater than this number expresses an above average degree of engagement and suggests the customer is engaged whereas any number lower than this number expresses an above average degree of engagement and suggests the customer is not engaged.</p>
<p>G= does (behaviour) more than z – slot in whatever behaviour you want in the bracket.</p>
<p>H= does (behaviour) less than z – slot in whatever behaviour you want in the bracket.</p>
<p>F = is engaged</p>
<p>J = is not engaged</p>
<p>The formula: If (Gx &#038; Hy) then (Fx &#038; Jy)</p>
<p>In predicate calculus: (Gx &#038; Hy) -> (Fx &#038; Jy)</p>
<p>This formula says: if x does G and y does H than x is F and y is J.</z></p>
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		<title>By: Theo Papadakis</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411220</link>
		<dc:creator>Theo Papadakis</dc:creator>
		<pubDate>Mon, 04 Feb 2008 13:17:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-411220</guid>
		<description>&lt;b&gt;Eric \ Ned \ Gab :&lt;/b&gt;

First off, please excuse my delay in getting back to you.

My most refined thoughts about a typology of negative engagement has prior to this discussion been defined by the way I see engagement: the subject (customer or non-customer) and degree of engagement (take a look at the table I ve posted here to see how i feel these two variables interact  http://agoraplace.wordpress.com/2008/01/04/defining-customer-engagement/). This table shows 2 kinds of negatively engaged customers:

- negatively engaged customers: These people buy from you but don’t like you . These people who, according to what many marketers believe, and customer defection rates prove, compose the majority of the customers of the majority of organisations, will instantly defect to a competitor as soon as a better product\service, cheaper price, promotion is available. These customers may appear positively engaged from a visits metrics (recency, depth, duration etc) as well as from the fact that they do purchase IF we misunderstand their degree of engagement for kind of engagement. I think this is exactly what Gab is talking about in relation to his relationship with Google.

- negatively engaged non-customers: These people don’t buy from you and don’t like. 
This is a category of negatively engaged subject I think no company will ever eliminate. In so far a company does not pursue a ‘please all’ mass marketing approach (if that is at all possible nowadays in mature markets and in our heterogenous society) there are bound to be parts of society who will react negatively to these products/services on the exact same grounds the target customers will love those selfsame products/services. The Tahoe is precisely such an example. If you are out to please those people who want a powerful, plate-armoured, gas-guzzling tank-of-a-car, a very real need irrespective of whether these people want to drive it in the city or in the most adverse off-road conditions (I believe psychological and utilitarian needs are equally real – which is not to speak of justification) then you are definitely going to upset those people that are conscious of the mark their footsteps leave on this planet. Similar things happen in fashion, the fast food industry, entertainment etc

I’m very happy you guys think there is something of value in this post.</description>
		<content:encoded><![CDATA[<p><b>Eric \ Ned \ Gab :</b></p>
<p>First off, please excuse my delay in getting back to you.</p>
<p>My most refined thoughts about a typology of negative engagement has prior to this discussion been defined by the way I see engagement: the subject (customer or non-customer) and degree of engagement (take a look at the table I ve posted here to see how i feel these two variables interact  <a href="http://agoraplace.wordpress.com/2008/01/04/defining-customer-engagement/" rel="nofollow">http://agoraplace.wordpress.com/2008/01/04/defining-customer-engagement/</a>). This table shows 2 kinds of negatively engaged customers:</p>
<p>- negatively engaged customers: These people buy from you but don’t like you . These people who, according to what many marketers believe, and customer defection rates prove, compose the majority of the customers of the majority of organisations, will instantly defect to a competitor as soon as a better product\service, cheaper price, promotion is available. These customers may appear positively engaged from a visits metrics (recency, depth, duration etc) as well as from the fact that they do purchase IF we misunderstand their degree of engagement for kind of engagement. I think this is exactly what Gab is talking about in relation to his relationship with Google.</p>
<p>- negatively engaged non-customers: These people don’t buy from you and don’t like.<br />
This is a category of negatively engaged subject I think no company will ever eliminate. In so far a company does not pursue a ‘please all’ mass marketing approach (if that is at all possible nowadays in mature markets and in our heterogenous society) there are bound to be parts of society who will react negatively to these products/services on the exact same grounds the target customers will love those selfsame products/services. The Tahoe is precisely such an example. If you are out to please those people who want a powerful, plate-armoured, gas-guzzling tank-of-a-car, a very real need irrespective of whether these people want to drive it in the city or in the most adverse off-road conditions (I believe psychological and utilitarian needs are equally real – which is not to speak of justification) then you are definitely going to upset those people that are conscious of the mark their footsteps leave on this planet. Similar things happen in fashion, the fast food industry, entertainment etc</p>
<p>I’m very happy you guys think there is something of value in this post.</p>
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		<title>By: A Framework for Engagement - Background &#187; Marketing Productivity Blog &#187; Blog Archive</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-410835</link>
		<dc:creator>A Framework for Engagement - Background &#187; Marketing Productivity Blog &#187; Blog Archive</dc:creator>
		<pubDate>Sun, 03 Feb 2008 22:42:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-410835</guid>
		<description>[...] has been a tremendous amount of discussion around the Engagement topic that started here and fragmented into a bunch of chunks and related topics, including here, here, and here.  I have [...]</description>
		<content:encoded><![CDATA[<p>[...] has been a tremendous amount of discussion around the Engagement topic that started here and fragmented into a bunch of chunks and related topics, including here, here, and here.  I have [...]</p>
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		<title>By: Gab "SEO ROI" Goldenberg</title>
		<link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-410415</link>
		<dc:creator>Gab "SEO ROI" Goldenberg</dc:creator>
		<pubDate>Sun, 03 Feb 2008 06:20:15 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-410415</guid>
		<description>I didn't grasp the mathematical formula towards the end, which seemed false to me. And the explanation didn't help much, being something of a runon sentence:

"By inserting relative statements such as ‘x is more engaged than y if and only if x does z and y does &#62;z’ into a continuum that is based on website \ competitor \ industry benchmarks, it is possible to provide a reference point which although relative in itself (historical performance) is sufficiently stable and pertinent to business performance, to provide with useful insights into visitor behaviour and business\campaign success."

Besides that, I learned a boatload from this post. Interesting to see that largely what at stake here is degree and not kind of engagement.

On a related note, Scoble had something on this with a great discussion in the comments, imho. Lots of his readers proposed interesting solutions to measuring engagement. The discussion here too has been sweet, so let me respond...

@ Ned, from my own personal experience being hostile-ly engaged with Google, especially after having previously had positive engagement, I have to contradict this:

"And then there is the hostile engagement. It is into this category I would put the overtly negative reviews and the social network backlash from the likes of subvert ads etc.. It is my contention that in many cases, folks involved in hostile engagement are really not your customers. They are either professional critics or just get a kick lambasting brands or are front-ends to lobbyists or the like (going"

First, you're not getting the persona right, imho, or at least not for all the hostile engagees. I'm not a professional critic or lobbyist, but I am passionate about the companies I deal with. For example, I wrote recently about 4 cases of reputation management I was involved in or had some relation to: http://seoroi.com/case-studies/reputation-management-adviso-dreamhost-1and1-network-solutions/

Second, I rank for 'Google sucks.' And I've bought ads from Google, and will likely continue to, because that's where the volume of search is.  I was also very happy to imitate my friends and have Google as my homepage back in the day (before I learned SEO to any serious extent). To an extent I'm contradicting myself here, because I know that some people who need SEO will google that, so it's in my own interests to rank for that (so perhaps your personas weren't so off after all). On the other hand, there are a lot of legitimate criticisms there of things Google does that rankle with me.</description>
		<content:encoded><![CDATA[<p>I didn&#8217;t grasp the mathematical formula towards the end, which seemed false to me. And the explanation didn&#8217;t help much, being something of a runon sentence:</p>
<p>&#8220;By inserting relative statements such as ‘x is more engaged than y if and only if x does z and y does &gt;z’ into a continuum that is based on website \ competitor \ industry benchmarks, it is possible to provide a reference point which although relative in itself (historical performance) is sufficiently stable and pertinent to business performance, to provide with useful insights into visitor behaviour and business\campaign success.&#8221;</p>
<p>Besides that, I learned a boatload from this post. Interesting to see that largely what at stake here is degree and not kind of engagement.</p>
<p>On a related note, Scoble had something on this with a great discussion in the comments, imho. Lots of his readers proposed interesting solutions to measuring engagement. The discussion here too has been sweet, so let me respond&#8230;</p>
<p>@ Ned, from my own personal experience being hostile-ly engaged with Google, especially after having previously had positive engagement, I have to contradict this:</p>
<p>&#8220;And then there is the hostile engagement. It is into this category I would put the overtly negative reviews and the social network backlash from the likes of subvert ads etc.. It is my contention that in many cases, folks involved in hostile engagement are really not your customers. They are either professional critics or just get a kick lambasting brands or are front-ends to lobbyists or the like (going&#8221;</p>
<p>First, you&#8217;re not getting the persona right, imho, or at least not for all the hostile engagees. I&#8217;m not a professional critic or lobbyist, but I am passionate about the companies I deal with. For example, I wrote recently about 4 cases of reputation management I was involved in or had some relation to: <a href="http://seoroi.com/case-studies/reputation-management-adviso-dreamhost-1and1-network-solutions/" rel="nofollow">http://seoroi.com/case-studies/reputation-management-adviso-dreamhost-1and1-network-solutions/</a></p>
<p>Second, I rank for &#8216;Google sucks.&#8217; And I&#8217;ve bought ads from Google, and will likely continue to, because that&#8217;s where the volume of search is.  I was also very happy to imitate my friends and have Google as my homepage back in the day (before I learned SEO to any serious extent). To an extent I&#8217;m contradicting myself here, because I know that some people who need SEO will google that, so it&#8217;s in my own interests to rank for that (so perhaps your personas weren&#8217;t so off after all). On the other hand, there are a lot of legitimate criticisms there of things Google does that rankle with me.</p>
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