<?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: Online social network participation inequality and the impact on the User Engagement KPI</title>
	<atom:link href="http://visualrevenue.com/blog/2007/08/online-social-network-participation.html/feed" rel="self" type="application/rss+xml" />
	<link>http://visualrevenue.com/blog/2007/08/online-social-network-participation.html</link>
	<description>Increasing Front Page Performance for Online Media</description>
	<lastBuildDate>Sun, 05 Feb 2012 18:20:07 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
	<item>
		<title>By: Dennis R. Mortensen</title>
		<link>http://visualrevenue.com/blog/2007/08/online-social-network-participation.html#comment-134</link>
		<dc:creator>Dennis R. Mortensen</dc:creator>
		<pubDate>Sat, 11 Aug 2007 12:47:00 +0000</pubDate>
		<guid isPermaLink="false">http://visualrevenue.com/blog/2007/08/online-social-network-participation-inequality-and-the-impact-on-the-user-engagement-kpi.html#comment-134</guid>
		<description>Hi there...&lt;br/&gt;&lt;br/&gt;Thank you very much for your input. And as you might have noticed, I am a GREAT fan of spending an immense amount of time in picking the right KPI’s – however; I try really hard, as in advocating, to ensure that one do not mix up traditional metrics (that certainly affect the KPI’s) and the KPI’s themselves.&lt;br/&gt;&lt;br/&gt;That said and having in mind that we are talking about Online Social Networks KPI’s, I think the following KPI’s that you mentioned are better for particular e-commerce properties. (or this at least with my interpretation of Online Social Networks)  :-)&lt;br/&gt;&lt;br/&gt;2. Velocities (RFM+visit/purchase)&lt;br/&gt;3. First purchase momentum&lt;br/&gt;4. Repeat purchase momentum&lt;br/&gt;&lt;br/&gt;BUT that the following two metrics very much relate to Online Social Network.&lt;br/&gt;&lt;br/&gt;1. Stickiness&lt;br/&gt;5. Freshness factor (how often content is refreshed versus how frequently users visit the site)&lt;br/&gt;&lt;br/&gt;I would (and that is not necessarily the truth) probably use “freshness” as a metric in my quest for optimization on the “Visits per week” KPI.  &lt;br/&gt;And I think that we are most likely on the same page when you talk about “Stickiness” and I talk about “User engagement” – As I see this KPI being calculated from multiple basic metrics and that it is supposed to be VERY specific for the web property in question.&lt;br/&gt;&lt;br/&gt;Thank you again. This is great input on a really (for me) fascinating KPI topic. &lt;br/&gt;&lt;br/&gt;N.B.&lt;br/&gt;I am very likely to get inspired by your first three metrics when writing up my “What and how to measure e-commerce websites” post. :-)&lt;br/&gt;&lt;br/&gt;Cheers&lt;br/&gt;Dennis</description>
		<content:encoded><![CDATA[<p>Hi there&#8230;</p>
<p>Thank you very much for your input. And as you might have noticed, I am a GREAT fan of spending an immense amount of time in picking the right KPI’s – however; I try really hard, as in advocating, to ensure that one do not mix up traditional metrics (that certainly affect the KPI’s) and the KPI’s themselves.</p>
<p>That said and having in mind that we are talking about Online Social Networks KPI’s, I think the following KPI’s that you mentioned are better for particular e-commerce properties. (or this at least with my interpretation of Online Social Networks)  :-)</p>
<p>2. Velocities (RFM+visit/purchase)<br />3. First purchase momentum<br />4. Repeat purchase momentum</p>
<p>BUT that the following two metrics very much relate to Online Social Network.</p>
<p>1. Stickiness<br />5. Freshness factor (how often content is refreshed versus how frequently users visit the site)</p>
<p>I would (and that is not necessarily the truth) probably use “freshness” as a metric in my quest for optimization on the “Visits per week” KPI.  <br />And I think that we are most likely on the same page when you talk about “Stickiness” and I talk about “User engagement” – As I see this KPI being calculated from multiple basic metrics and that it is supposed to be VERY specific for the web property in question.</p>
<p>Thank you again. This is great input on a really (for me) fascinating KPI topic. </p>
<p>N.B.<br />I am very likely to get inspired by your first three metrics when writing up my “What and how to measure e-commerce websites” post. :-)</p>
<p>Cheers<br />Dennis</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Anonymous</title>
		<link>http://visualrevenue.com/blog/2007/08/online-social-network-participation.html#comment-133</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Fri, 10 Aug 2007 22:54:00 +0000</pubDate>
		<guid isPermaLink="false">http://visualrevenue.com/blog/2007/08/online-social-network-participation-inequality-and-the-impact-on-the-user-engagement-kpi.html#comment-133</guid>
		<description>Thanks for the article.&lt;br/&gt;&lt;br/&gt;How about measuring:&lt;br/&gt;1. Stickiness&lt;br/&gt;2. Velocities (RFM+visit/purchase)&lt;br/&gt;3. First purchase momentum&lt;br/&gt;4. Repeat purchase momentum&lt;br/&gt;5. Freshness factor (how often content is refreshed versus how&lt;br/&gt;frequently users visit the site)</description>
		<content:encoded><![CDATA[<p>Thanks for the article.</p>
<p>How about measuring:<br />1. Stickiness<br />2. Velocities (RFM+visit/purchase)<br />3. First purchase momentum<br />4. Repeat purchase momentum<br />5. Freshness factor (how often content is refreshed versus how<br />frequently users visit the site)</p>
]]></content:encoded>
	</item>
</channel>
</rss>

