DailyDirt: Creepy Ads From Big Data
from the urls-we-dig-up dept
Lots of advertisers are turning to data mining techniques to try to squeeze more value out of their budgets. Given all the data that gets collected by our phones/browsers/credit cards/etc, it’s not too surprising that ads can get pretty creepy, pretty fast. Here are just a few stories about ads that aren’t technically doing anything wrong — but that haven’t quite gotten their privacy behavior right either.
- Target has been highlighted for its uncanny ability to predict when women shoppers are pregnant. Public birth records just aren’t updated anywhere near fast enough for retailers who want to know when to start sending targeted ads to new parents ASAP. [url]
- Marissa Mayer said credit card companies can predict a divorce with 98% accuracy two years before it happens. Considering 50% of marriages end in divorce anyway, that might not be considered impressive..? [url]
- Facebook uses photos from some of its users to help promote various products, and sometimes the results are far from flattering. Becoming the new spokesperson for 55 gallon tubs of lubricant probably isn’t what Nick Bergus wanted to be. [url]
- To discover more interesting advertising-related content, check out what’s floating around on StumbleUpon. [url]
By the way, StumbleUpon can recommend some good Techdirt articles, too.
Filed Under: ads, data mining, marissa mayer, predictions, privacy
Companies: facebook, target
Comments on “DailyDirt: Creepy Ads From Big Data”
Creepier is the free-speech-jammer.
POPSCI: Speech Jamming Gun Freezes Any Talker Mid-Sentence By Clay Dillow Posted 03.01.2012 at 3:04 pm 7
So Zuckerberg & Bezos are fair game if they are over heard discussing KY jelly …. hilarity ensues. – oh wait I forgot that the 1% are protected by publicity rights.
About photos I just read that Android if granted permission to an app to access the internet can copy all your images and upload them to whatever place they want.
http://bits.blogs.nytimes.com/2012/03/01/android-photos/
Now that is a scary bug.
Re:
I like how they finally developed a speech DRM device, but
pirates still remain unaffected:
ARRGGG matey, me and me parrot still be talking!
Re:
I haven’t read up on exactly how this works, but I thought I saw something that said you just need earplugs to defeat this “speech jammer” — so that you can’t hear your own time-delayed speech to mess you up. 😛
“Marissa Mayer said credit card companies can predict a divorce with 98% accuracy two years before it happens. “
I read lots of things on the internet. I have an inkling some of them aren’t true. Just a suspicion. I wonder if she will provide a citation.
[citation needed]
It doesn’t really matter because 37% of all statistics are made up anyway….
Here's a trick that - I just read - that most journalists use
Protip: write down any old crap, then read what you’ve written and – hey presto! – you can make a statement just like Marissa Meyer. Because she didn’t say that credit card companies can predict divorce. She said “I read the other week that”…
Here's a trick that - I just read - most journalists use
After writing the above, I thought I’d spend 10 seconds with Google…
‘UPDATE: After this story ran, the company responded with the following statement. ?Visa does not track or monitor cardholder marital status, nor does it offer any service or product that predicts a potential divorce. These claims are false and any media outlets or authors citing that Visa has such capabilities are inaccurate and wrong.?)’
http://www.thedailybeast.com/articles/2010/04/06/how-mastercard-predicts-divorce.html
Re:
In addition to face masks, ear plugs have now been placed upon a list of items which may indicate that you are a terrorist.
Here's a trick that - I just read - most journalists use
~ YET ~
Divorces and Separations.
The claim about divorces does not seem implausible. When people split up, they usually establish separate households first, and then attend to the legalities after the fact. Setting up households produces certain gross economic measures, which a database can pick up. Buying a thousand dollars worth of suitably assorted housewares and groceries is a good indication that you are moving into an apartment.
Probably, one fairly good diagnostic measure would be the purchase of airline tickets for unescorted children. The airlines tend to price tickets in such a way that taking the kids to visit grandma doesn’t cost much more than sending the kids to visit grandma. That’s sensible– it is comparatively expensive to have the flight attendants look after unescorted children. That means, of course, that people who chose to pay the full rate are likely to be estranged spouses, who cannot just casually become each-other’s house-guests. If you just go and stay with your ex, the family grapevine is likely to announce: “Hey, Jack and Sue are getting back together again!”
This is not creepy
If you don’t want companies to send very targeted ads to you, you must not provide them with mechanisms to track you. Pay cash, don’t use store loyalty cards. Companies are sitting on terabytes of data and cost of hardware to power business warehouse systems is very affordable. So the companies buy big data solutions and hire researches to find ways to mine the data in order to find new business opportunities.
Glad you clarified
“Target has been highlighted for its uncanny ability to predict when women shoppers are pregnant.” Whew, if you hadn’t specified ‘women shoppers’ then I might have thought you were talking about pregnant men! 🙂
[citation needed]
“37% of all statistics are made up anyway” – Ben Franklin
FTFY