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This might be a fun exercise.

Let's assume we have the following data: the user's email address, some sort of smartphone identifying value, their ip address, and their brushing habits. That's not very much; who would want that?

Well, we know this is a person who will drop $400 on a toothbrush. They like shiny things, they have at least a middle-class disposable income, and they don't mind the headaches of internet-connected devices. Let's sell this information to big-box electronics retailers and other smart appliance manufacturers. Maybe this person would like to buy a $500 toaster too, or espresso machine, or soda machine, or bread machine, or microwave.

They care a little bit about oral hygiene. Have they seen a dentist lately? If they have $400 for a toothbrush, then they probably have better than average dental insurance. Let's also sell their information to the larger dental offices in their area (as determined by IP).

Do they need mouthwash? Let's pop up an ad for a subscription mouthwash service. How about floss? Would they perhaps also appreciate a razor made out of aerospace titanium?

Oh, but wait ... their IP address just changed, and they are brushing their teeth 3 hours later than typical. They're traveling! They're traveling and they took their expensive toothbrush with them. This opens up an entirely new set of possibilities. Travel insurance? A credit card with travel incentives? New luggage? How about offers for travel upgrades? There are hundreds of companies paying for the opportunity to contact pre-qualified customers that travel with disposable income.

Oh, wait ... they just bought a set of lightbulbs that we also make...




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