tag:blogger.com,1999:blog-946587890062083577.post4598363054194222251..comments2008-04-08T07:52:09.766+10:00Jasonhttp://www.blogger.com/profile/11283603094324243247noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-946587890062083577.post-88196248352761012832008-04-08T07:52:00.000+10:002008-04-08T07:52:00.000+10:00Excellent follow up by Andrew <A HREF="http://andrewchen.typepad.com/andrew_chens_blog/2008/04/5-factors-that.html" REL="nofollow">comparing types of sites and his estimation of CPM</A>. Intuitively, he highlights that social sites are hard to monetize, whereas specific sites like reference sites monetize much better. It reminds me of the earlier notions I had regarding building a <A HREF="http://www.neverreadpassively.com/2008/03/mapping-no-free-lunch.html" REL="nofollow">computational intelligence reference site</A>. The article on techcrunch that sparked Andrew's post also highlights that <A HREF="http://www.techcrunch.com/2008/04/07/pubmatic-data-suggests-small-sites-command-higher-rates-for-remnant-ads-than-large-sites/" REL="nofollow">small (likely niche) sites have a higher CPM</A>.Jasonhttp://www.blogger.com/profile/11283603094324243247noreply@blogger.comtag:blogger.com,1999:blog-946587890062083577.post-71724782155506644282008-04-06T07:58:00.000+10:002008-04-06T07:58:00.000+10:00Related post from Datawocky, describing <A HREF="http://anand.typepad.com/datawocky/2008/04/affinity-and-he.html" REL="nofollow">advertising revenue in terms of the affinity and targetability</A> of the audience. Uses IM, social networks, and email as examples. Herding kills targetability, and has moderate affinity, representing an outlier (digg, youtube, etc). Further, he provides a <A HREF="http://anand.typepad.com/Targetability_Affinity.jpg" REL="nofollow">depiction of the affinity-targetability landscape</A>.Jasonhttp://www.blogger.com/profile/11283603094324243247noreply@blogger.com