PhilGo20

I am about to deliver a big project to a client and I am playing with different ideas on what to do next.

Had (yet another) idea couple weeks ago and sent an email to my friend Duncan Moore to validate. Here’s the mail :

As more and more brands, agencies, producer and individuals disseminate content on 3rd party sites (Youtube,Vimeo, Scribd, Slideshare, Digg, Reddit, Facebook, etc.), it gets more complex to track all that content and measure the buzz (comments, links, bookmarks, RT, diggs, etc.) it generates.

Per piece tracking gets rapidly overwhelming and Google Analytics is of little use, as the often-accompanying link back to the website is only a minor indicator of the effectiveness of the content. Traditional ORM solution might help for the buzz around it, but won’t tell you much about views and other data and will most likely received multiple hits for the whole conversation/campaign (the delicious link, the multiple retweets, the 5 diggs, the blog post, etc.) without really helping with analyzing that particular campaign.

It might be as simple as entering all the youtube video your brand has and monitoring the number of views they generate, number of favs, comments, number of link back and so on.

From a development point of view, it could start as being fairly simple as it’s mostly about aggregating data and displaying it in a comprehensive dashboard view.

NDLR:  I hope it’s obvious I am joking when I say they stole something … at least from me

As the web enters a more user-centric era where conversations can be gold mines,  you will soon need the ability to filter content and news based on the influence level of the messenger to cut through the noise. If you are looking for good blogs or discussions about Django (my current framework of development), you should be able  to see any post/tweets written or commented by  Jacob Kaplan-Moss (one of the lead developer) at the top of your search results.

To do that, you first need to determine who has some influence online around that topic. There is currently multiple web services to evaluate user ranking, and I’ve reviewed some here. Klout is another of those services and a pretty popular one. Main problem with most of them is that they usually have no concept of relevancy : they evaluate your reach, influence, activity and other parameters as a generic score, without any relation to a topic or domain of influence.

I’ve just performed a search for ‘Django’ in Klout’s topics search box. Number one influencer on this somewhat niche topic is … Tara Hunt aka MissRogue. For those who might not know here, MissRogue is a successful author/marketing consultant/entrepreneur with a somewhat decent audience of … 29757 (Dec 1st 2009)followers on Twitter. She probably knows more about Django than the average person, but I would have expected Jacob Kaplan-Moss or some of the bloggers in my Django links collections to be slightly above her in such ranking…

klout django influencers

What happened is probably that she tweeted that keyword several days ago and the Klout engine pick it up, putting here in their Django topic basket and by looking at the outstanding number of followers she has, promoted her to the top of the list. A more complete analyze of her tweets would have been enough to avoid this error. Further analysis of shared link would be even better, but slightly more complex.

User Ranking methods and technology will most certainly become ubiquitous in a near future and evolve into something solid and relevant enough to be used as a content and conversation filter, as well as for targeted advertising purposes. A great example of the relevancy concept can be found in Traackr from which I just got a demo. They still do some manual intervention for quality assurance, but they have included a relevancy score related to the queried domain, as I would expect. We talked a little bit about their roadmap and they seems to have some pretty interesting stuff coming up.

Are you planning to use some kind of User Ranking in your applications or web strategies ? How ? What are you expecting from such tools ?