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Im not sure if this applies to you but the way things are headed now is using machine learning algorithms to predict behavior.<br />
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So you take 1000 people that maybe made purchase x , then feed the AI software all the data about everything they did on and offline for the last 90 to 120 days or whatever and look for correlates.<br />
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Maybe it turns out 95% of people who buy a certain model of car went mountain climbing 47 days before purchase , it doesnt have to make sense , its not explanatory its just what the data shows. Next you use that to paint a picture of where they are in the journey to purchase and you can target them accordingly , so in this example perhaps after the mountain climbing excursion we start a series of retargeting ads that are just informational and try to get some buy in...<br />
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I wouldnt imagine enough money exists in teaching you how to fight to be worth the bother but expect more of this as the internet of things and machine learning evolves in the coming decade.
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</blockquote>I think this is the most likely scenario.<br />
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It reminds me of a thing I heard where Target started showing someone ads for baby diapers, car seats, strollers, and various other baby items. Shortly afterward, she found out she was pregnant.<br />
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In other words, to her it felt like Target knew she was pregnant before she did.<br />
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But the reason they knew was because she was exhibiting the same cluster of behaviors that they knew to be correlated with other pregnant women. (Easy for them to have a ton of data on the behavior of pregnant moms, since there's a baby registry where people voluntarily tell them that they're expecting.)<br />
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So in your scenario, the idea that it would be good to learn to fight probably didn't come out of nowhere. There was probably a cluster of circumstances around you that contributed to planting the idea in your head. And AI probably noticed, "Hey, this collection of these specific videos this person watched and these specific sites this person visited and these specific physical locations etc. - all of these things also happen to be correlated with people who are interested in fighting. <br />
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Google Adwords has a thing called "In Market." In other words, they have an engine that can allow advertisers to request that Google only show their ads to people Google thinks are in the market for a particular product or service. Then Google can measure the clickthrough rates and other attention metrics on how they're doing at finding people "in the market" for that thing. Obviously this is only going to get better and better over time as more data gets collected. <br />
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Another alternative: <br />
It might also be a clever advertiser, and not AI, who has selected a range of criteria of people they want to show this ad to. <br />
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Here's an example. I want to buy ad space to show to people who are interested in spending $10M+ to buy a farm or ranch. <br />
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OK, people aren't exactly raising their hands and saying, "Hey Google! I have $22M to spend on farmland." <br />
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So my job is to find, out of all the people in the world, the people who (A) have that kind of money and (B) want to use it for agricultural land and not any other kind of investment. <br />
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OK, how am I going to do that? <br />
Maybe what I do is go do a bunch of research and put together a profile of the likely characteristics that these people share. So (this is just made up) maybe there's a much greater probability that someone will be a land buyer if they are...<br />
• Retired<br />
• Own a yacht<br />
• Enjoy classical music<br />
• And live in certain zip codes.<br />
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OK, now, instead of just saying to Google, "Find me the people interested in buying agricultural land," I can set the parameters of the audience to say, "Find me the people who are retired, own a yacht, like classical music, and live in these 300 zip codes, and I bet a lot of them will also be interested in my offer." <br />
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So someone might have done a bunch of research on the people who are interested in fighting, and they set up a number of criteria, and you happen to fit that profile.</div>