LA Start-Up Crunches Real-World Consumer Behavior of Social Media Users

Currently in beta, – a start-up venture co-devised by blogger Rob Reed (pictured) – aggreggates the mountain of [I’m currently at…] info-widget data posted by users of FourSquare, Facebook, Twitter, Gowalla and Whrrl into a single, searchable dashboard. contributor Lawrence Cohen took a spin and gives the application an early, conditional thumbs up. Especially for its development of an “engagement score” algorithm, whereby a chain like Starbucks can be compared to a Peete’s or Coffee Bean.

Momentfeed is able to calculate a national or regional engagement score across multiple locations for a given brand. This engagement score takes into account whether or not people are commenting or posting photos with their check-ins, or pushing their check-ins out to Twitter and Facebook…

In the case of Starbucks vs. Coffee Bean & Tea Leaf, it would seem that Starbucks users are slightly more engaged, at least in Southern California where the data set resides. is planning to soon expand its data-grab partnership reach to Yelp, Loopt, Scvngr and other services. But it can already tell you, on any given evening, which LA nightclubs are most popular with the tweet-status update crowd.