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  <id>tag:,2008:/1/tag:72.47.210.69,2007://1.5256-</id>
  <updated>2008-05-09T18:17:21Z</updated>
  <title>Comments for Analyzing Trends From Seth Godin&apos;s Web 2.0 Index</title>
  
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  <entry>
    <id>tag:72.47.210.69,2007://1.5256</id>
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    <link rel="service.edit" type="application/atom+xml" href="http://www.readwriteweb.com/cgi-bin/mt/mt-atom.cgi/weblog/blog_id=1/entry_id=5256" title="Analyzing Trends From Seth Godin's Web 2.0 Index" />
    <published>2007-01-10T19:39:27Z</published>
    <updated>2007-12-16T23:16:43Z</updated>
    <title>Analyzing Trends From Seth Godin&apos;s Web 2.0 Index</title>
    <summary>By Alex Iskold Marketing guru and blogger Seth Godin is also known for his Web 2.0 Traffic Watch List on Alexaholic. This list tracks the changes in Alexa traffic for about 1000 Web 2.0 companies. For example, MySpace and YouTube are numbers 1 and 2 respectively (although check our previous post, which has YouTube in...</summary>
    <author>
      <name>Alex Iskold</name>
      <uri>http://www.adaptiveblue.com</uri>
    </author>
    
    <category term="Trend Watch" />
    
    <content type="html" xml:lang="en" xml:base="http://www.readwriteweb.com/">
      <![CDATA[<p><em>By Alex Iskold</em></p>

<p>Marketing guru and blogger <a href="http://www.sethgodin.com/">Seth Godin</a> is also
known for his <a href="http://www.alexaholic.com/sethgodin">Web 2.0 Traffic Watch List on
Alexaholic</a>. This list tracks the changes in Alexa traffic for about 1000 Web 2.0
companies. For example, MySpace and YouTube are numbers 1 and 2 respectively (although
check <a href="http://www.readwriteweb.com/archives/youtube_now_number4_alexa.php">our
previous post</a>, which has YouTube in the top spot). While there has been a lot of
skepticism about the precision of Alexa ranking, particularly because the ratings can be
bought or <a
href="http://www.calacanis.com/2006/11/24/alexa-is-100-wrong-and-you-can-game-it-with-as-few-as-three-mac/">
gamed</a>, for a large pool of popular web sites it can adequately be used as a
<strong>relative measure</strong> of popularity.</p>

<p>Here is the latest Seth Godin Alexaholic top 10 list:</p>

<p><img border="0" src="http://www.readwriteweb.com/images/godin_alexa.jpg" width="500"
height="253" /></p>]]>
      <![CDATA[<p>The list has generated attention in the blogging community. Paul Kedrosky wrote a post
recently entitled <a
href="http://paul.kedrosky.com/archives/2006/12/30/hot_and_not_web.html">Hot and Not So
Hot Web 2.0 Companies</a>, in which he identified the biggest web 2.0 gainers and losers
over the last 6 months. We found this interesting and wondered what else can we deduce
from Seth's chart. Instead of individual companies, we wanted to determine what
<b>trends</b> are gaining or losing. For example, is online video continuing to rise?
Does social bookmarking have a chance to go mainstream? We looked into Seth's data to
answer these questions.</p>

<h2>How we looked at the data</h2>

<p>Seth Godin's list shows only companies, but not trends. As the first step, we labeled
each company with a category such as Video or Social Networking. Next, we calculated
additional information needed to determine growth. For each company, we calculated the
<strong>% Change in Rank</strong>. This is the number which indicates relative change in
the ranking of each company. The reason for using this percentage change instead of the
actual change number is to take into consideration that fluctuations at the top of the
list are much smaller than fluctuations at the bottom. Here are the first 10 entries from
the new list:</p>

<p><img border="0" src="http://www.readwriteweb.com/images/godin_alexa2.jpg" width="500"
height="159" /></p>

<h2>Trends for top 100 companies</h2>

<p>We then labeled the top 100 companies with the categories and calculated the common
values for each category. Here is what came out:</p>

<p><img border="0" src="http://www.readwriteweb.com/images/godin_alexa4.jpg" width="508" height="244" /><br />
<i>Green = Growth; Red = Decrease</i></p>

<p><b>Important Note:</b> lower figures mean more popularity</p>

<p>There is a lot of interesting information. First note that <em>Photo</em> is the most
populated category in the top 100, with 10 companies falling under this category. It is
closely followed by other usual suspects: <em>Search</em>, <em>Video</em> and <em>Social
Networking</em>.&nbsp;</p>

<p>Looking at the <strong>Average Rank</strong> column gives us the current average
standings. Since <b>lower</b> Alexa ranking implies more popularity, <em>Photo</em> and
<em>Music</em> hold the lead, followed by <em>Blogging</em> and <em>File Sharing</em>
(note that File Sharing includes storage, like Box.net). Among the worst rankings we find
<em>Search</em> and <em>Video</em>. <em>Search</em> is probably is not surprising,
because Google has a strong grip on this category. The reason that the <em>Video</em>
average is not great is because the players in the top 100 are at the bottom, with the
exception of course of YouTube and DailyMotion.</p>

<p>Perhaps the most interesting information is the <b>Average % Rank Change</b>, because
this information indicates growth. Remember that the <i>lower</i> the figure, the <i>more
growth</i> it indicates. We were somewhat surprised to find that the six players in the
<em>Social Bookmarking</em> space saw the most substantial growth in the last six months.
This indicates that social bookmarking is heading towards the mainstream. It is not
surprising to see big growth in video, but interesting to see Meebo contributing strongly
alongside Skype to the <em>Communications</em> category.</p>

<p>The data also reveals more bad news for the <em>Search</em> category, as it
experienced an overall drop in the last six months of 3% points. Again, fighting Google
is no easy thing. Finally, the <em>Blogging</em> category had the biggest drop of 9%
points. Perhaps this can be attributed to people blogging on their social networking
sites, but this is not obvious - although Xanga, Livejournal and SixApart all decreased
in popularity. It could also be that more people are using Wordpress, which is on the
rise (but not on the list).</p>

<h2>Conclusion</h2>

<p>It would be interesting to expand on this research and look at the trends for the
entire 1000 companies. It would also be interesting to see what companies are influencing
the trends the most. Surely the MySpaces and YouTubes of the world, but what other
companies? The information on Seth's list can be analyzed in a number of different ways,
to gain insights into what is happening in our fast changing Web 2.0 world.&nbsp;</p>

<p>You are welcome to use the <a
href="http://www.readwriteweb.com/godin_trends1.xls">spreadsheet</a> we created to do more
analysis. Of course the only catch is that you have to share the results with us :-)</p>
<p><b>Update:</b> There was a slight error in the original spreadsheet, so we have amended that. Thanks Dermot for pointing it out.</p>]]>
    </content>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41931</id>
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    <title>Comment from Andrew Parker on 2007-01-10</title>
    <author>
        <name>Andrew Parker</name>
        <uri>http://blog.andrewparker.net/</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://blog.andrewparker.net/">
        <![CDATA[<p>It's hard to say that the average rank for search-related sites is 2902 because this rank excludes market leaders Yahoo and Google (because Seth's list doesn't include them).  Whereas, Social Network leaders MySpace and Facebook are included... kinda odd.</p>]]>
    </content>
    <published>2007-01-10T20:44:30Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41932</id>
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    <title>Comment from Alex Iskold on 2007-01-10</title>
    <author>
        <name>Alex Iskold</name>
        <uri>http://www.adaptiveblue.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.adaptiveblue.com">
        <![CDATA[<p>Andrew,</p>

<p>Yes, this analysis only applies to the data in the list. Seth does not consider Yahoo and Google to be Web 2.0.</p>

<p>Alex</p>]]>
    </content>
    <published>2007-01-10T20:46:35Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41933</id>
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    <title>Comment from Ted on 2007-01-10</title>
    <author>
        <name>Ted</name>
        <uri></uri>
    </author>
    <content type="html" xml:lang="en" xml:base="">
        <![CDATA[<p>Fun analysis and thanks for doing it. I wish you had access to better data then alexa, though! Someone should hook you guys up with some comscore or hitwise data!!</p>]]>
    </content>
    <published>2007-01-10T20:58:47Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41934</id>
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    <title>Comment from Alex Iskold on 2007-01-10</title>
    <author>
        <name>Alex Iskold</name>
        <uri>http://www.adaptiveblue.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.adaptiveblue.com">
        <![CDATA[<p>Ted,</p>

<p>Great idea! The spreadsheet that we provided is generic so anyone can plug in other data with a bit more work.</p>

<p>Alex</p>]]>
    </content>
    <published>2007-01-10T21:00:27Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41935</id>
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    <title>Comment from NitinK on 2007-01-10</title>
    <author>
        <name>NitinK</name>
        <uri>http://blog.softwareabstractions.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://blog.softwareabstractions.com">
        <![CDATA[<p>Alex:</p>

<p>This is a really interesting analysis. However, I think it's important to point out some of the limitations of the underlying Alexa data, that qualify the results you've arrived at (which is not your fault!):</p>

<p>1. Only specific companies are included in the list, as Andrew has noted above - e.g. Google and Yahoo are excluded.<br />
2. Alexa's data is  suspect, to put it mildly. I understand the "well, it's inaccurate, but we're looking at it in a relative way" argument, but I'm skeptical. Getting good relative results from inaccurate data is problematic at best; for example, there could easily be a correlation between Alexa toolbar users and specific sites (based on, say, a common variable like geography), which would heavily skew the results.<br />
3. Alexa says that its ranking results are based on a "mixture of page views and user reach". Page views is a metric that is increasingly being questioned, in the Web 2.0/Ajax/componentized world.<br />
[An interesting twist for Search engines: a <i>better</i> search engine would find results faster (i.e. with fewer user requests) for a given search, which would result in a <i>smaller</i> number of page views for the same number of users, so that engine's numbers would actually get penalized for getting more relevant results! Do you agree?]<br />
4. As you mentioned, Alexa results are being targeted for gaming or manipulation, which also subverts the "relative rankings" argument.<br />
5. Alexa does not consider "https" results at all. This may have an unequal impact if some sites have more https pages than others (e.g. if they have slightly different offerings).</p>

<p>Having said all that, I think this may be as good a way to analyze relative rankings as any. Compete and Quantcast probably suffer from similar issues (Compete has a comparison with Alexa on their site). I have been thinking about ways to evaluate the buzz-worthiness of a site; some other options are:<br />
a. Number of del.icio.us or other bookmarks [suffers from adoption skew of delicious?]<br />
b. Number of blog posts about the site in technorati or some other blog search engine [ditto adoption by bloggers?]<br />
c. Advertising prices [not public information, but in the long run, the best metric? :-)  Trust the free market!]</p>]]>
    </content>
    <published>2007-01-10T21:18:51Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41936</id>
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    <title>Comment from Alex Iskold on 2007-01-10</title>
    <author>
        <name>Alex Iskold</name>
        <uri>http://www.adaptiveblue.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.adaptiveblue.com">
        <![CDATA[<p>Nitin,</p>

<p>Thanks for this detailed comment. I agree that Alexa has many flaws. The reason for my post is to have a different look at Seth's data, thats all. You can apply this analysis to any data, the real focus is on delta and trends.</p>

<p>Alex</p>]]>
    </content>
    <published>2007-01-10T21:33:28Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41937</id>
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    <title>Comment from Sendar on 2007-01-10</title>
    <author>
        <name>Sendar</name>
        <uri>http://www.twomendesign.nl</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.twomendesign.nl">
        <![CDATA[<p>Great reading, thanks. I like it, a differences look at the data.</p>]]>
    </content>
    <published>2007-01-10T22:33:18Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41938</id>
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    <title>Comment from Nick Miller on 2007-01-11</title>
    <author>
        <name>Nick Miller</name>
        <uri></uri>
    </author>
    <content type="html" xml:lang="en" xml:base="">
        <![CDATA[<p>Hi, I enjoyed this post, but you should not use red and green to color-code graphs: 25% of males are red/green duotone color-blind!</p>]]>
    </content>
    <published>2007-01-12T05:26:16Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41939</id>
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    <title>Comment from Alex Iskold on 2007-01-11</title>
    <author>
        <name>Alex Iskold</name>
        <uri>http://www.adaptiveblue.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.adaptiveblue.com">
        <![CDATA[<p>Good point Nick - thanks! </p>

<p>What do you recommend in this case? Black / White?</p>

<p>Alex</p>]]>
    </content>
    <published>2007-01-12T05:35:33Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41940</id>
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    <title>Comment from Brent Leary on 2007-01-12</title>
    <author>
        <name>Brent Leary</name>
        <uri>http://www.brentleary.com</uri>
    </author>
    <content type="html" xml:lang="en" xml:base="http://www.brentleary.com">
        <![CDATA[<p>Very interesting stuff.  I've been doing a comparison of Alexa traffic rankings for the leading on demand CRM vendors over the past six months which a few people have found of interest.  More so from a relative rank standpoint than believing the rank is totally accurate.</p>]]>
    </content>
    <published>2007-01-12T16:16:57Z</published>
  </entry>

  <entry>
    <id>tag:72.47.210.69,2007://1.5256-comment:41941</id>
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    <title>Comment from amanda on 2007-01-23</title>
    <author>
        <name>amanda</name>
        <uri></uri>
    </author>
    <content type="html" xml:lang="en" xml:base="">
        <![CDATA[<p>Check out the new embedded version of Kool IM.</p>

<p>www.koolim.com</p>]]>
    </content>
    <published>2007-01-23T16:29:08Z</published>
  </entry>

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