From: Toon Vanagt <toon.van...@casius.com>
I stumbled on this FT article with 'volume pricing' for personal data and a
convenient estimation tool:
http://www.ft.com/cms/s/0/f0b6edc0-d342-11e2-b3ff-00144feab7de.html#axzz2W5QWgUuR
Basically, if you're a millionaire, your personal data is worth about $ 0.123
(if you're not, you start at: $ 0.007).
The FT has build an interactive data value estimation tool. For example by
adding ADHD to my profile I gained a stunning $ 0.200. Consider it extra money
for 'salting data set' :)
3 Quick thoughts:
"The Financial Times will not collect, store or share the data users input into
the calculator." Despite this disclaimer I wonder what the FT really does with
the harvested data on its web servers or considered the risk of 'leaking logs'?
At the end of their 'game', I'm invited to share my private 'data worth' on
Twitter, which exposes how much Marketers would pay approximately for your
data: and conveniently allows third parties to identify me... When linked with
their identifiable FT subscriber profile, there's no need for a tweet to link
the results to a person.
Check https://twitter.com/search?q=%23FTdataworth&src=typd <- public search
result. Great for marketeers. Also has the potential to reverse engineer
profiles..
Prices in the article & calculator seem very low and suggest that your
'personal data' are not really valuable to companies in a consumer society
That is if you're not obese, don't subscribe to a gym, don't own a plane... Due
to competition the broker prices are said to trending towards 'worthless'..
Data brokers seem to suggest we should not bother to protect something of so
little economic value...
Let me know if my reading between the lines is wrong.
Does anybody know about a personal data value calculator that is not based on
broker volume pricing, but reveals how much companies pay for qualified leads
in different industries (mortgage, insurance, cruise travel, fitness, car test
drive, hotel booking,...) The outcome of such an 'intent cast valuator' would
be much higher and more of an economic incentive to raise awareness of data
value.
Cheers,
@Toon
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