It should hardly come as a surprise that e-commerce giant Amazon collects vast amounts of data regarding consumer behavior, preferences, and purchase history. If a customer frequently purchases bulk quantities of cat litter, Amazon’s algorithms will almost certainly infer that they own cats. Similarly, a steady stream of anti-acne skincare products might lead the platform to deduce that the buyer is prone to breakouts.
Even though digital consumers are increasingly aware that massive technology companies customize shopping experiences based on meticulous purchase tracking, it still comes as a distinct shock to see all of those personal assumptions laid out in a single, convenient list. The experience can be particularly jarring when those algorithmic deductions cross the line from helpful personalization into uncomfortably intimate territory.
This reality hit home for one social media user on Threads, who recently stumbled upon a hidden section of her Amazon account settings. This specialized dashboard reveals the digital profile that the shopping giant has quietly constructed behind the scenes. Alongside relatively benign assumptions such as "Shops from women’s departments" and "Probably owns a Shark robot vacuum," she discovered a much more specific, and deeply personal, conclusion: Amazon’s algorithms had determined that she "has flat buttocks."
"I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless," wrote the customer, who posts under the handle @fangirlinmegan, on the platform. "I mean it ain’t wrong, but damn did you have to call me out like that?"
In less than a day, the viral post garnered over a million views, sparking widespread amusement, shock, and intense curiosity. Countless other users rushed to check their own accounts to see what kind of candid digital profile Amazon had built for them based on their shopping carts over the years.
For those navigating the desktop version of the site, this revealing data can be located by hovering over the greeting in the upper right corner and clicking "Account" under the primary account management section. Navigating further into the "Ordering and shopping preferences" area leads users to "Your Shopping preferences." While this section is primarily designed for individuals to proactively input personal data—such as shoe sizes, specific hobbies, and dietary preferences—scrolling to the very bottom of the page reveals a blue hyperlinked option labeled "Manage your information." Clicking that link unveils the internal demographic and behavioral tags that Amazon has silently assigned to the user profile.
Mobile app users can access the same data by tapping the menu icon from the bottom navigation bar, then proceeding through Account, Shopping preferences, and finally selecting the "About you" section.
Upon investigating the page, users often find a mixed bag of obvious deductions, accurate lifestyle reflections, and occasional bizarre overreaches. For some digital culture reporters, Amazon correctly gleaned that they practice photography, participate in collectible card games, and remain deeply invested in the Apple ecosystem. In other instances, the platform’s automated profiling has offered flattering assessments, such as noting that a user reads diverse non-fiction. For those on the receiving end of such praise, the takeaway might jokingly feel like validation from an intellectual peer who appreciates a thirst for knowledge.
Other colleagues investigating their own profiles found that Amazon accurately cataloged an affinity for vinyl records and ceramics, alongside a penchant for natural home decor materials and clothing that prioritizes comfort. None of those findings approached the blunt personal assessment encountered by the viral Threads user, who later deduced that her specific algorithmic tag was likely triggered by previous purchases of "butt scrunch leggings."
The incident highlights a broader, ongoing cultural conversation about the sheer volume of data collected by modern technology platforms. Consumers live in a digital ecosystem marked by pervasive data tracking and alarming levels of mass surveillance, where tech companies pay close attention to every click, search, and transaction. While users have grown accustomed to targeted advertisements following them across the internet, seeing those invisible data points translated into blunt, plain-language psychological and physical profiles remains a startling reminder of corporate observation.
Ultimately, while the modern internet offers few places to hide from algorithmic scrutiny, discovering what a retail algorithm really thinks behind closed doors provides a uniquely candid—and occasionally hilarious—window into the digital footprint we leave behind with every online order.
