Bingo! Troy has hit it right on the nose.

This is something Jeff Bell and I learned and practiced at DeepGreen Bank and emphasized and perfected very early on at Kaleidico.

Getting the customer to close a transaction is all about matching their usage patterns to the usuage patterns of the sales person or automated process. Having that intelligent matching in a lead management tool, like icoSales is worth millions to our clients and thus this algorithm is worth millions to Kaleidico. Ed, Thanks for the pointer:

Troy Angrignon on Algorithms as Rockstars: “

I missed Troy Angrignon’s notes from Gnomedex a few days ago, but I just saw them this morning and this jumped out at me:

Attention trust and attention data portability and value: (I also refer to this as usage pattern data) is worth more than the content that people bring to the site… The reality is that what people do on your site and how they interact with it is key to: product development, increased revenues, increased profitability, and increased customer retention. Amazon does this extremely well inside their algorithm. There is a phrase called ‘algorithms as rockstars’ which means in plain English, the algorithm that Amazon employs is worth 10X more than the really bad (and very simple) algorithm that Barnes and Noble uses to decide where to place other products and recommendations. This has been known for a while. Much of the value in that algorithm is derived from usage pattern data.

(AKA attention data.) When talking about attention, I tend to emphasize the potential value of this data to the individual, given AttentionTrust’s founding principles, but language like Troy’s, focusing on the current value of attention being realized by publishers, can be helpful in enabling people to understand just why all this matters so much.

(Via AttentionTrust.org blogs.)