Chris posted on the need for a new metric which could supplement traditional page-view metrics.I’m going to add to the call-to-arms from the Enterprise point of view.Â The ability to understand not just what people click on, but the attention they give to elements of the new, rich media world is crucial.Â Detailed information that goes beyond “IP Address loaded page X” and various derivatives of this is crucial.I touched on this in my earlier post about Syndication in the Enterprise, the model I proposed there includes an attention client and engine which collects the data independently of the RSS browser, but this could do SO much more.Chris is correct when he says that there is a vast range of attention data, for example, YouTube videos, flash movies etc. etc.Â An open standard here for collecting and analysing this information would be a real boon to the emerging Attention arena.Elias took up the conversation over here as well and raised an interesting point:
So before we come up with new measurement systems, lets spend more time determining why we are measuring. Simply saying we are better measuring what consumers are giving their attention to, is only part of the problem. We need to first determine what value we obtain from measuring that attention in the first place.
My push-back to both of them is simply this — I think we DO need a standard for aggregating attention data from all the different clients people use during a day, for the very simple reason that in Enterprises understanding what people are using and how they are using it is a crucial part of the delivery eco-system for information. It’s the feedback loop that lets you know you’re getting it right.It may be useful for bloggers etc. as well, but I think the problem should be focussed on the Enterprise as this is where the “real” need is (I show my bias here, but I don’t believe I as a blogger need to know in great detail who looks at what, but as an Entprise of 160,000 people globally I do need to understand where and how my information is flowing).What’s new in all this is not the concept — Advertisers have been doing this for years with demographics, TV ratings seasons, market surveys etc. etc., however what isÂ now being proposed is a very finely tuned attention engine that understandsÂ (and helps others to understand) that most unique of individuals — you.