<?xml version="1.0" encoding="UTF-8"?><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: Measuring Online Engagement: What Role Does Web Analytics Play?</title> <atom:link href="http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html/feed" rel="self" type="application/rss+xml" /><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> <lastBuildDate>Thu, 18 Mar 2010 15:05:13 +0000</lastBuildDate> <generator>http://wordpress.org/?v=2.9.2</generator> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <item><title>By: Le web analytics ou la meilleure façon de connaître son lectorat &#171; Solutions ebusiness</title><link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html/comment-page-2#comment-490272</link> <dc:creator>Le web analytics ou la meilleure façon de connaître son lectorat &#171; Solutions ebusiness</dc:creator> <pubDate>Fri, 27 Nov 2009 04:25:39 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-490272</guid> <description>[...] Parmi les rares qui ont pu réussir l&#8217;adaptation, nous trouvons le NYT. En effet, ils ont mis en place une équipe dédiée Web analytics. A leur tête, nous trouvons James G Robinson qui est en charge d&#8217;élaborer périodiquement des analyses et des rapports sur les visiteurs des sites Web du NYT destinées au département des ventes. Ils utilisent plusieurs métrique, mais le plus important reste « le temps consacré » (à lire un article), comme indicateur clé pour choisir la pub à placer sur la page. Cet indicateur couplé avec l&#8217;indicateur de l&#8217;interactivité constitue le métrique le plus en vogue en ce moment et qui s&#8217;appelle « l&#8217;engagement ». [...]</description> <content:encoded><![CDATA[<p>[...]<br /> Parmi les rares qui ont pu réussir l&#039;adaptation, nous trouvons le NYT. En effet, ils ont mis en place une équipe dédiée Web analytics. A leur tête, nous trouvons James G Robinson qui est en charge d&#039;élaborer périodiquement des analyses et des rapports sur les visiteurs des sites Web du NYT destinées au département des ventes. Ils utilisent plusieurs métrique, mais le plus important reste « le temps consacré » (à lire un article), comme indicateur clé pour choisir la pub à placer sur la page. Cet indicateur couplé avec l&#039;indicateur de l&#039;interactivité constitue le métrique le plus en vogue en ce moment et qui s&#039;appelle « l&#039;engagement ».<br /> [...]</p> ]]></content:encoded> </item> <item><title>By: Le web analytics, le luxe qui est devenu nécessité pour l&#8217;industrie de la Presse @Economie Numerique &#8211; Blogue du cours</title><link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html/comment-page-2#comment-489602</link> <dc:creator>Le web analytics, le luxe qui est devenu nécessité pour l&#8217;industrie de la Presse @Economie Numerique &#8211; Blogue du cours</dc:creator> <pubDate>Thu, 22 Oct 2009 20:39:50 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-489602</guid> <description>[...] Parmi les rares qui ont pu réussir l&#8217;adaptation, nous trouvons le NYT. En effet, ils ont mis en place une équipe dédiée Web analytics. A leur tête, nous trouvons James G Robinson qui est en charge d&#8217;élaborer périodiquement des analyses et des rapports sur les visiteurs des sites Web du NYT destinées au département des ventes. Ils utilisent plusieurs métriques, mais le plus important reste « le temps consacré » (à lire un article), comme indicateur clé pour choisir la pub à placer sur la page. Cet indicateur couplé avec l&#8217;indicateur de l&#8217;interactivité constitue le métrique le plus en vogue en ce moment et qui s&#8217;appelle « l&#8217;engagement ». [...]</description> <content:encoded><![CDATA[<p>[...]<br /> Parmi les rares qui ont pu réussir l&#039;adaptation, nous trouvons le NYT. En effet, ils ont mis en place une équipe dédiée Web analytics. A leur tête, nous trouvons James G Robinson qui est en charge d&#039;élaborer périodiquement des analyses et des rapports sur les visiteurs des sites Web du NYT destinées au département des ventes. Ils utilisent plusieurs métriques, mais le plus important reste « le temps consacré » (à lire un article), comme indicateur clé pour choisir la pub à placer sur la page. Cet indicateur couplé avec l&#039;indicateur de l&#039;interactivité constitue le métrique le plus en vogue en ce moment et qui s&#039;appelle « l&#039;engagement ».<br /> [...]</p> ]]></content:encoded> </item> <item><title>By: Best of The Web - Blog Posts and Articles Of Year 2008</title><link>http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html/comment-page-2#comment-482450</link> <dc:creator>Best of The Web - Blog Posts and Articles Of Year 2008</dc:creator> <pubDate>Sat, 07 Feb 2009 04:57:25 +0000</pubDate> <guid isPermaLink="false">http://www.kaushik.net/avinash/2008/01/measuring-online-engagement-what-role-does-web-analytics-play.html#comment-482450</guid> <description>[...] Measuring Online Engagement: What Role Does Web Analytics Play? on Kaushik.net. Here Avinash is telling about the quest of measuring Online Engagement and also outlined a four step process you should follow when it comes to trying to measure engagement. [...]</description> <content:encoded><![CDATA[<p>[...] Measuring Online Engagement: What Role Does Web Analytics Play? on Kaushik.net. Here Avinash is telling about the quest of measuring Online Engagement and also outlined a four step process you should follow when it comes to trying to measure engagement. [...]</p> ]]></content:encoded> </item> <item><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-page-2#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> ]]></content:encoded> </item> <item><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-page-2#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.pngReverse 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> ]]></content:encoded> </item> <item><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-page-2#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> ]]></content:encoded> </item> </channel> </rss>
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