Earlier quoted context omitted.
Tbf Amazon has the least experience with ML of the FAANGs.
It seems that it would pay out a lot for them to do a few simple heuristics by hand. For example: if just bought something do not show a thing from the same category. At most show a thing from accessories category, which I think they do.
After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
351–360 of 464 posts
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#352Earlier quoted context omitted.
This is a point I bring up when casually talking with non-tech minded friends when they start talking about machine learning taking over everything... I bought a Dyson last summer. Amazon is still suggesting that I buy more vacuum cleaners.
Tbf Amazon has the least experience with ML of the FAANGs.
In general I think that all of the personal surveillance / categorization will end up being more truly profitable (as opposed to 'twinkie calorie' profits of ad networks) as they are used to suggest price points for products and services rather than to direct attention to products.
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#353Earlier quoted context omitted.
If you already acknowledge that it's just a bullshit job because people need to make money to live, maybe they could do something that is not actively harmful.
What the fuck are you talking about? How many people in this industry indirectly rely on companies like Google for employment? What percentage of mobile app development is paid for with ads? What percentage of web development is paid for with ads? How many open source projects are contributed to by developers who work at companies that rely on ads to you, pay their actual bills How many “side projects” on this site a…
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#354Earlier quoted context omitted.
You seem to misunderstand how marketing works. Creating customers is how companies grow and requires advertising, so creating those channels is filling a business need. Throwing money at people doesn't change that need. >> Literally anything not actively harmful. "Literally" must be the most overused word in English today, but a vague description like that is completely unproductive to any discussion and doesn't even…
"Filling business needs" is also not an objectively useful thing. There are many businesses I would prefer not advertise (e.g. cigarette and gun companies) and many more industries that are nearly zero-sum (and thus advertising just moves a fixed pool of money around). I'm not sure where this idea that growth for the sake of growth is inherently good came from. In fact, we've demonstrated many ways it's harmful.
Marketing spend is a proportion of GDP so it'll scale along with it, and is thus not zero-sum. As for regulation, that is needed in the industry and why we have limits on certain categories.
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#355I honestly would not be surprised if the difference in effectiveness of targeted vs untargeted advertisement turns out to be none, negligible or even unfavorable to targeted. Sure, NYT is not enough data to be significant, especially when compensating for my confirmation bias, but I would really like to see more sites stop tracking, at least from an ethical standpoint.
> I honestly would not be surprised if the difference in effectiveness of targeted vs untargeted advertisement turns out to be none, negligible or even unfavorable to targeted. The devil in the detail is how well the targeting is done. Is there a big difference between poor targeting & untargeted? Not really. Is there a big difference between good targeting & untargeted? Massive amounts of data to say yes.
I was able to find this study after banging my head against a bunch of paywalled sites trying to charge money for public domain research:
https://beesystrategy.com/wp-content/uploads/2018/12/Chris-S...
Working on reading through. Seems like it would be difficult to control an experiment like this, since the subjects know they will be seeing advertisements as part of a study and won't really be purchasing these items. I don't know, I'm looking forward to learning more about the experimental procedure. Also they seem to be measuring somewhat vague self-reported impressions about the ad in context of being targeted / untargeted, not the actual sales they produce. Drawing a line between these impressions and real ad performance seems to be mostly a matter of opinion. As I said it seems like a tough thing to quantify, and I'm hoping that people smarter than myself have found credible methods to truly measure it.
Do you have anything you'd like to recommend?
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#356Earlier quoted context omitted.
There’s a bigger effect: context. I don’t want to buy beef jerky when I’m reading about a military strike in the Middle East, no matter how much my profile indicates I like beef jerky — but I might be open to a book on politics. Because reading about content is self-selected disclosure of interest, the NYT already has all the information they need to target me — they know I read politics, and when I’m in that context…
In other words: targeted advertising is about making ads cheeper for advertisers, whereas the traditional assumption is that the real estate is valuable and desirable. e.g. companies want their ads in the New York Times or the Superbowl. Targeted advertising is a way of spreading ad dollars out more, which ultimately is detrimental to large publishers as well as being unethical on the data harvesting side. (I choose…
Instead of only political books being able to advertise on that page, they’re bidding against beef jerky and cars and so on. This raises the price for the ad slot by creating (false) demand.
Without those out-of-place, targeted ads there would be less demand for every ad slot, and people could bid less for them.
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#357Earlier quoted context omitted.
You mean that following the users with the same repetitive ads across the net (for things that he might have even bought already) is not so effective? Yeah, tracking probably throws the ads into a local minima. But ad algos don't care about conversion, they care about charging the ad buyer more.
> But ad algos don't care about conversion, they care about charging the ad buyer more. Bingo. The users clicking the ads aren't the ones funding the advertising networks - it's the people buying the ads. If you can convince them that targeted ads are more effective (and it would certainly be a safe assumption based on most peoples' understanding) then you can charge them more. I'm not sure why you're being so heavil…
But I've yet to see some actual controlled evidence showing clear data in terms of sales that we can be reasonably sure were generated by targeted advertising. I think such evidence probably does exist, I'm not saying I don't believe it just yet. But all the arguments here seem to confuse science with scientism--what we have is a lot of reasoning and academic explanations of how people think it works, which is just not the same as evidence. It doesn't matter if something sounds like the way it might work in real life, we have to make observations to call something data. I haven't seen much data here.
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#358Earlier quoted context omitted.
I think this is just it though. Everyone assumes targeted advertising works, because it seems self-evident that it should. And the only people likely to have significant data on whether it works have a vested interest in convincing everyone that it does work (regardless of whether that's true or not). It may be that targeted ads are more effective, but some counters to your points: > John has a 10th wedding anniversa…
You grossly misunderstand digital advertising or your bias has completed clouded your logic. > A wedding anniversary is a significant thing–some John's may be swayed by an advertisement, but many would consider it a bit of a cheat not to put more "novel" thought into it. No idea what you mean here by cheating or novel thought. We're talking about whether knowing that info allows you to have more successful advertisin…
That statement makes sense intuitively, but what we're discussing here is whether our intuition reflects reality. It may seem to self-evident to you, but do you have data?
All of your examples "make sense" from the same intuitive perspective, but all assume the subjects are positively influenced by the advertisements more than a randomly selected subject would be. That's an assumption.
Please don't condescendingly remark that I "don't understand advertising" when you've missed the point entirely. This isn't about how the ad industry works—ad companies are clearly economically successful—it's about whether (as another commenter eloquently put it) that emperor is wearing clothes.
> Correlation is the whole point. If someone who is single and goes to the gym is correlated to certain purchases or behavior, you can advertise those.
The point is that the correlation we're talking about here is a proxy. If a lot of people buy a product and are single, but most aren't buying that product because they're single, it means they're buying it for another reason, which may or may not change relative to their relationship status.
Re: After GDPR, The New York Times cut off ad exchanges and kept growing ad revenue
#359Earlier quoted context omitted.
To be fair... Paris Hilton can be a Hilton hotel in Paris. So... Even an proficient English speaker can be mislead
Even an proficient English speaker can be mislead I don't think so. A human would understand context. AI isn't supposed to be simple string matching.