Monetizing social media means navigating 'big, sucky data'

Reblogged from GigaOM:

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Solariat Founder and CEO Jeffrey Davitz has a message for anyone trying to leverage social network data to make money: "The fundamental problem with social is yes, it's big data, but it's mostly big, sucky data."

What he means, he explained during a recent interview, is that life isn't too easy for social platforms such as Twitter and Facebook (s fb), where deciphering what users actually want means poring through a lot of extraneous information.

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This is actually a much better thought out post than the one I just did on banner ads. It gets to the point that I tried to make about ads on all social sites not just FB/Twitter but blogs as well. Monetizing blogs using banner ads is not productive. Services like what Solariat seems to offer are needed to filter through the noise and provide relevant content.


Speaking of Google, one problem I have with the Google Ad Network is that is more akin to banner ads than to their search based ads. Ad networks are too dumb at how they target the desired demographic. The ad content doesn't seem to correlate to site content. I used a $100 credit from Google to run an ad campaign for my blog and ended up getting referrals from day care sites. I'm not sure that my targeted audience was being reached. Google ads are targeted based on the logged in Google account but when I see the referral from abcdaycare.com I’m not sure if it was worth my $5.00.

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Why I don't use Wordads on my blog? Because banner ads don't work. 

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