Our personal data is meant to be protected
not quite
data provided to a business is supposed to be protected IF that is the terms and conditions of the contract/agreement/policy/you have with that business.. but the business can also have term to allow them to share data
they consider personal data. anything that can be found publicly. like what school you went to, age, marriage status, gender, hobbies, home address, telephone, email.
there is private data too like medical data and bank data.
however even private data can be shared with consent
for instance your bank card number is not only shared with the card processor, but the retailer first and the actual bank.
your bank statement can be shared too.. authorities, tax reporting. and even retail businesses. especially if u sign up to them "cashback" offers on your account. the retailers get your details and offer you cashback.
is this standardized? The fact that it's this cheap makes it even less encouraging for people to protect their data, since after all it's dirt cheap!
In my opinion (and I don't want to sound like a conspiracy theorist as much as possible but it's just so preposterously cheap for me) these journals are hiding something from us, perhaps keeping the fact that Data could go for even more expensive in the market, after all, from a single behavioral data set a company could make millions with it already. Plus we have companies who advertise services where "you can monetize your own data", how does that go for in the grand scheme of things?
its the average just for demographic basic data.. there are added premiums if the data concerning you also includes things specific to the industry buying the data.. EG if you are vegan then vegetable selling businesses would pay extra for a database of people that are known to be vegan
the prices in the topic first post are just basic starting prices for the most basic of data.
companies add premiums for lots of things ontop. like emails of certain people of certain wage/age plus:
-those living in towns their stores are located.
-specific interest of specific product/service
-employment of certain type
-size of family/house
-type of vehicle
the list goes on, and unmeasurable because of how custom each dataset may become.
but for instance someone owning a 10yo lambo who has a wealthy income is priceless data to car dealerships. so they can pay upto $10-$100 for the right custom dataset per user