You’ve probably seen some variation of the shirt.
You’re wondering how it’s so wildly specific. You click it, and scroll down, and somehow… somehow the company seems to have made shirts specifically for you, the boyfriend of a Registered Nurse who was born in June, who’s a little crazy with a heart of gold.
And then you notice on other channels, people are getting shirts that say ‘Never mess with a Union Welder born in November with Blue Eyes’. ‘My Boyfriend is a Crazy Libra who loves Fishing and Mountain Biking”. Okay… it’s specific… but no harm, right?
First, some context. Facebook takes information like birth date, gender, likes and dislikes, etc. to hyper-tailor ads directly to specific individuals. On the advertiser’s side, Facebook allows their advertising customers to modify ads depending on group – companies can make multiple ads for their product to better build a brand image for any one customer’s specific demographic profile.
Picture that a company makes hair gel for adolescents as well as young adults, for example. The adult is looking to impress their coworkers, but the kid just wants to prevent helmet hair. The gel does both, but the ad will change the target customer’s view of the product – is it for skateboarders, or is it for professionals? Only a super generic ad could appeal to both, and generic ads do much worse than targeted ones. Luckily, Facebook’s fine-tuned ad program can determine which set of ads the viewer should be seeing, and the company can make two ads, one for skateboarders, and one for young professionals.
However, that’s time consuming, so many ad vendors allow mix-n-match campaigns, where lines are taken from one ad and put in another. An adolescent’s ad would work for most teens if the wording was a little different – see Axe’s body spray ads. Sometimes the company doesn’t even have to make the new lines themselves, they just include a modifiable blank field in the ad space and they’re good to go.
That’s where things go sideways! A blank line in an insurance ad can tell the user that they’ll be eligible for a rate as low as X$ based on their age and gender. A blank line in a kennel ad knows they’re looking for a medium dog over a small cat based on their search history. A blank line in a T-shirt ad tells them that Facebook knows they’re a Gemini, an accountant, of Swedish descent, a regular fisher, an occasional beer-drinker, and more.
Art and More
Even worse, bots that work on similar mechanisms have been caught scraping art from artists and slapping it on cheap T-shirts. Since copyright enforcement is dependent on the copyright owner filing for takedown, shirts with that artwork might get sold before the artist even knows something’s amiss. The shirts are frequently poor-quality rips directly from the artist’s social media account, triggered by comments requesting wearable merch or complimenting the work – the bot determines demand and then harvests it, without human intervention, just like the ad T-shirts.
Sure, the artist can request a takedown each and every time the bots snag their art, but it’s a slog, and the company itself never seems to actually do anything meaningful about the violations. It’s also bad for the artist’s reputation: fans complaining to them about the quality of a shirt they bought may be the first time the artist hears about the art theft, and then explaining to someone that they’ve been scammed is only going to make them angrier. It becomes “How could you let this happen” instead of “I’m sorry, I didn’t realize” – everyone loses except for the ad bot’s shirt company.
Before companies like ZapTee and CustomInk, getting a custom shirt meant going to a print shop and paying a hefty price for the final product. As such, shirt companies just didn’t make shirts like these ad bots do. It was unfeasible. If it didn’t sell, it was a waste of production. The closest you could get was “I’m a Proud Mom!” or “Rather be Fishin’”. If you were an artist, and your work was too fringe for major manufacturers to work with, you might have had to buy the screen-printing supplies yourself, build your own website or storefront, source blank shirts, and do things the hard way.
Now, all of that is easily outsourced to these printing companies that specialize in customizable products. The tech has improved so much that they can make money on single shirt sales, where before orders had to be in bulk. It’s honestly incredible. However, customers don’t necessarily understand the mechanisms behind these shirts. The specifics on the shirt are just blank space fill-ins, based on information Facebook gives to the ad. They think they’re seeing a unicorn out in the wild when they see something that relates to them. They’re thinking back to the times where companies couldn’t do this, where everything was geared towards two or three consumer profiles. “Wow, a shirt for Peruvians!” instead of “Oh, Facebook knows I’m Peruvian”.
Or in the case of the art-rippers, they see merch from an artist they really like and respect, and buy it without wondering if it’s official because – once again – they’re thinking back to a time when companies didn’t steal art (not officially, anyway) for shirts. Independent artists had to beg, barter, and network their way onto the front of a T-shirt, there wasn’t any other way to sell art-shirts en masse before silk-screen tech got cheap. Therefore, there’s no way unofficial or stolen art merch exists, it just doesn’t happen!
A company named Signal decided to take out ads mocking Facebook’s hyper-specific targeting by simply filling in a MadLib with demographic spots.
The result is, shockingly, just like the T-shirts! Facebook already knows you pretty well. A trend of ‘hyper-targeting’ took over once social media websites realized that people guard their info from companies but share it willingly with friends, publicly. As a result, it can pinpoint things like your favorite movie, your favorite color, what items you’ve bought online (and post about), your perfect vacation, and how dark you like your coffee, to name a few, all harvested from comments and posts you share with your friends. Ads then generate shirts out of what the site gathers. You can turn off targeted advertising in Google, but that doesn’t mean they’re not gathering information. It just means you’re not seeing the direct results of that. The only way to fight the hyper-targeting is to be vague and lie to the platforms, or stay off of them altogether.
If you or an artist you know gets their work ripped by bots, combating it is unfortunately pretty difficult. The best you can do is sometimes just cave and make your own branded products via something like RedBubble or FanJoy. Give customers an official way to support their favorite artist, and most of the time, they’ll take it! Making your social media work obnoxiously and obviously watermarked helps, as does making the preview pic low-quality. Fans need to know that you have official channels, and if they buy from anywhere else, they’re not supporting you. If they like it so much that they want to wear it, they should want the artist to keep making more of it! Make that link between your official purchasing channels and their support of your work clear.