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...
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.