facebook and google do, but they are not selling it. and the rest of ad-tech loves to boast about their "data" on every conference while all they have is /dev/random output, more or less.
facebook and google do, but they are not selling it. and the rest of ad-tech loves to boast about their "data" on every conference while all they have is /dev/random output, more or less.
And there were like 2 ads shown to you during this 50 seconds period, while you were in the dark and not looking at your phone but using it as a duh, flashlight. And then you stopped the app to save your battery.
Do you really think some advertiser benefited by using this data?
And what "independent" ad-tech is dealing with is millions of cases above. Consistency is important. FB and GOOG have consistent data, collected over days and years, properly matched, correctly aggregated. All others are dealing with flashlight crap.
A lot of those arguing your parent comment's point in other threads here and elsewhere seem to magically forget background data. Out of sight, out of mind.
Use a simple app to track background connections on your phone (e.g. NetGuard or the like) and you'd be amazed at how much gets sent back to the mothership.
Mobile apps are 1000x more invasive than anything on the web and these SDKs constantly send data in the background. There are also 100s of signals that get correlated to build single device profiles across time. FB/GOOG do have an advantage but that doesn't mean everyone else is useless and if you have ISP partnerships then you can actually get even more consistent data down to a device and household.
Good luck doing it with independent ad-tech and their "data".
I have a great deal of experience, and I've seen that you can generate final sale for some non-brand obscure SaaS platform (so no branding effect here at all) for like $30 per sale in Facebook, $90 in a good independent ad-tech platform, and $600 in a bad platform.
Facebook still totally kicks ass and absolutely can make money for you if your SaaS brings you $100 in a first year. (100-30=70 in incremental profit for you). Hell, even really good ad-tech platform (yes, they exist) can make you money, though less so (100-90=10 in a first year). Shitty platforms are money sink, though
The Twitter PWA Chrome app sadly doesn't block Promoted Tweets, and it's the same thing there; low-quality ads from garbage companies I'd never consider buying from.
But the disconnect here is the at the ad VIEWER is not the customer, the purchaser of the ad is the customer. It might be whoever has a relevant ad for you won't bid enough for you to see it.
Whether the ad is well targeted or not, the host still makes a profit (both monetarily and in terms of their own tracking data)
That's solid economics. If a war breaks out, be the one that sells guns. I seem to recall a quote along these lines but it escapes me...
Verizon bought AOl, HuffPost, Techcrunch and plenty of other media to build an advertising giant by pairing data with sites audience -- and took 4.6 BILLION WRITEDOWN on the whole venture [1] because failed to make it work.
[1] https://www.recode.net/2018/12/11/18136127/verizon-aol-yahoo...
EDIT: oh and AT&T will learn the same lesson with their recent 800M AppNexus aquisition. Just give it time.
https://www.engadget.com/2019/02/07/carriers-were-selling-yo...
> Carriers sell information about you to data aggregators, which normally require the user to consent before selling it on further. But some third parties opted to sell information, like people's whereabouts, on to bodies such as bail bond companies, bounty hunters and landlords. In its original report, Motherboard paid an bounty hunter $300 to get the location of a phone to within a few hundred meters.
It has been illegal for them to do so until relatively recently.
In fact, this is almost tautologically true. If you have:
-- good data
-- on large enough scale
you are not going to sell it. You going to take advertiser dollars and match their ads against right audience, while safeguarding this data as your main know-how. Go and buy "barbell training fans in FL, US" and "women interested in fashion in CA, US" from facebook. Sorry, not for sale.
If instead you decide to "sell the data" it means that you can't really make it work for advertisers. Or, in other words, said data is mostly useless.
I don't know why someone would posit this falsehood.
You are going to sell it to EVERYONE you can (legally and sometimes not). There is no ad-tech company that does not take this stance. You get information about Honda buyers, you're going to sell it to Ford, then take what you sold to Ford (exclusively) and sell a repackaged format of the data (summary) you sold to Ford and sell that to Subaru ALONG with the data Ford asked for in the future.
Data management platforms (DMPs) are an entire concept built around selling the data. Every adtech company (that has any tech) sells the data that is collected, outside of using it for internal targeting. The number of demand partners and amount of useful targeting data to leverage for them, is necessarily a smaller set than what you collect.
Edit: This is experience from multiple senior ad-tech positions.
lol
>You are going to sell it to EVERYONE.
Exactly. And you know what you end up with? I checked lingerie website yesterday to buy a present for my girlfriend, this data was sold, now I'm a women in some DMP. I've bought a bottle of Talisker, now i'm wealthy man in the same DMP (even if I can only afford Talisker one time per year!!!). I've also bought some drugs for my grandfather, and now i'm +70 audience and I'm getting "senior discounts" ads while not being even 35 years old.
This is the problem with data platforms. Take data from everyone, mix it, and you have /dev/random. It's totally fine to milk advertisers for their money (which original article is all about), and not fine for anything else.
Advertisers finally start to understand it. And this is why GOOG and FB are getting all the money and ad-tech is slowly dying.
EDIT: And since -- as you correctly noted -- everyone is incentivised to sell ALL data to EVERYONE -- this is how you end up with a pool full of piss instead of water. Because everyone sold everything to this pool.
In practice, the level and quality could vary significantly, and the difficulty to normalize the feeds could be much harder in practice. If you get data in aggregate from Foursquare and Yelp, potentially it can tell you enough to gauge foot traffic in restaurants, but to your point, it probably can't be used to build an advertising platform.
Insurance companies are a great example. The data providers for pharmacy and automotive are another.
Ad-tech is different by boasting that they do know a lot about you, while in fact they have no clue.