To Survive in Tough Times, Restaurants Turn to Data-Mining

Re:To Survive in Tough Times, Restaurants Turn to Data-Mining by bluGill on Monday August 28, 2017 @01:52PM (#15118621)

That only works after someone is identified. I started getting a lot of adds for sheds when I did a search for them: I have no reason to think of any one advertiser. Even if I buy a shed (which I might not) only one will win, and it might not even be a company that has advertised. The smart money would have been to advertise to me long before I was interested in a shed - the company that advertises for years sticks in my mind as a company that might be worth paying extra for because of their "reputation" (even though they built this reputation in advertising)

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Re:To Survive in Tough Times, Restaurants Turn to Data-Mining by FussyZeus on Monday August 28, 2017 @02:02PM (#15118699)

This is the part that gets me (you beat me to the reply, heh): So you buy a skateboard; then suddenly, your pages are full of skateboard ads. Then you buy a new set of wheels; ok, now your pages would likely be full of parts for a skateboard. Then you buy a ramp or something: Now you get all kinds of skateboard paraphernalia, safety devices, hell maybe some scooters.

Given these generous assumptions: * That all these purchases are trackable, by the same advertiser, with definite certainty * That you're even buying online in the first place, so you can advertised to * That you'd respond to advertising at all, because thus far their recommendations have been purely reactive, not predictive of what you'd buy * That an eventual purchase could be directly tied to the advertisers work

After all of that investment of time, money, and energy, if they somehow managed to secure a sale of say, knee pads, how much do they actually make? And how much did the knee pad company pay to acquire that lead which led to a sale?

My basic question is: How is any of this profitable? It seems like an absolutely massive ecosystem of enormous firms all trading money back and forth and trading data back and forth, to at best, make marginal bumps in otherwise happening sales.

This boggles my mind and I would love an enlightened HNer to weigh in if they happen to read this.

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Re:To Survive in Tough Times, Restaurants Turn to Data-Mining by pdkl95 on Monday August 28, 2017 @02:16PM (#15118804)

"Sell more skating stuff to skateboard buyers" isn't the point of targeted advertising. A common misconception is that the targeting is related to what the customer wants, when it's really about creating ways sellers can target specific demographics. The goal isn't about selling some specific product; it's about hitting people at the specific times/situations they are likely to change their buying preferences.

I highly recommend reading this[1] article for a very good explanation about how this works.

[1] http://www.nytimes.com/2012/02/19/magazine/shopping-habits.h...

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