There are many, many signals in the Database of Intentions, as my readers have pointed out, but the one I feel compelled to add to the chart I created Friday is the Commerce signal. This signal emerged before search, really, and has remained a constant, though honestly it has yet to become a signal that others can truly leverage into an open ecosystem (unlike the signal of search, or status update, or the social graph). I expect that to change, and shortly. So here you go, an updated version of the chart, for the record. I expect this chart may well evolve into a pretty complicated ecosystem in its own right, over time….
How about the implicit information that may really be resident on personal devices like phones — eg what iPhone apps I use and when/where — what if there were a secure way to expose this to reliable third party applications?
John, do you have any thoughts on how Blippy.com fits into this? It doesn’t ask an input in a box the way many of the above do, but it’s a sort of FourSquare for your credit card. My own personal feelings about privacy aside, I’m curious what your thoughts are about adding it to the Database above.
Some more.
LinkedIn for Who I am (especially commerce)
LinkedIn Groups and Ning Groups (eg TFCN and GovLoop) for Status Update
Thank you,
There’s a LOT of small players in your Where I Am category. Plazes was big in Europe 3 years ago, and Nokia acquired them. Dodgeball? Whrrl? Brightkite? Whoever best nails the integration with mobile platforms and Facebook will win.
I expect that to change, and shortly. So here you go, an updated version of the chart, for the record. I expect this chart may well evolve into a pretty complicated ecosystem in its own right, over time…
I am putting the final touches to a project of mine that aims to integrate all 5 of your chosen signals into one place.
Hope to share it with you all very soon. But for now I will call it ‘The Big Daddy Database of Intentions’.
Agree that all these most fields will need to use the “Purchase”, specifically what i intend to buy or what i already bought. That’s at the cornerstone of all the debate around monetization.
Search did very in predicting “intend to buy” but without much influencing the decision itself. In real world, many purchase decisions get “influenced” …by what someone else has already purchased. (exple Amazon recommendations)
I think that “infuence” piece will be key in the coming innovative business models as they drive most of our purchase decisions.
Why do i “follow” some folks and what influence do they have on my coming decisions ?
Long time reader…first time posting.
Believe you might be missing a large component of the Database of Intention….”Local” (“the local buy”)…this area is dominated by previous Yellow Page Publishers, Google Maps, and to much lesser extent other directory sites. “what I NEED locally”.
Danny – thanks for the input. I think “Checkin” is the local play…
I like this chart. One input that might be be missing in this database of intentions is the ‘What I have’ signal. This would include all the files, emails and other digital resources that cover the topics that the user has. The field is therefore probably the ‘The information (domain)’. Imagine the power of a search result which takes account of that or even just categorizes the search results according to the topics that a user has. Then something important that is in pages 2 to infinity of a search result might actually become highlighted and therefore usable.
Nicely done. Now for a category I’d call the Sanity Zone – the place where all of the information is easily tied together to give a whole picture in a quick snapshot.
A gal has to dream.
I would gladly tell retailers that I intend to purchase something and then watch them fall over each other (e.g., inside a Twitter-type of ‘marketplace’) getting me the best deal. I would love it if the retailers could see their competitors’ offers but that could be optional.
Add to the Database of Intentions another category: What I read. Our Newstogram platform is being used by a growing list of publishers to build profiles based on the content each user consumes. It supports dynamic personalization of content as well as other applications.
Going thru the comments I find :
What I read
What I have
What I need
Who I am
How about what I know ?
Very good one.