It should come as little surprise to modern consumers that major technology and e-commerce platforms meticulously collect data based on individual shopping habits. If a customer frequently purchases bulk quantities of cat litter, an algorithm will almost certainly infer that they own cats. Similarly, a steady stream of anti-acne skincare products might lead an automated system to deduce that the buyer is prone to breakouts.
Even though digital consumers widely understand that platforms like Amazon constantly customize storefronts, recommendations, and search results based on historical purchase data, it can still be jarring to see those personal inferences compiled into a convenient list. That sensation of digital exposure becomes particularly striking when the automated assumptions wander past standard demographic profiling and drift into territory that feels uncomfortably intimate.
That exact realization hit one social media user recently, sparking a viral conversation about corporate data collection and the surprisingly specific ways algorithms interpret human behavior.
A Viral Discovery on Threads
A user on Meta’s Threads platform recently stumbled upon a tucked-away section of Amazon’s account settings designed to display who the retail giant believes a customer is based on their digital footprint. Alongside relatively benign assumptions—such as noting that a user "Shops from women’s departments" or "Probably owns a Shark robot vacuum"—the customer discovered an algorithmic deduction that left little to the imagination: Amazon casually assumed she "has flat buttocks."
The user, identified on the platform as @fangirlinmegan, quickly shared her disbelief with the internet.
"I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless," the customer wrote on Threads. "I mean it ain’t wrong, but damn did you have to call me out like that?"
In less than a day, the post exploded across the platform, garnering over a million views. The candid post drew reactions from thousands of other users who suddenly found themselves intensely curious about what their own hidden Amazon profiles might reveal about their bodies, lifestyles, and private habits.
Navigating the Maze of Corporate Data Collection
For those looking to unearth what the e-commerce titan has surmised about them, the settings page is buried several layers deep within the platform’s architecture.
On a desktop browser, users can locate the page by navigating to the account menu, selecting the main account dashboard, and drilling down into ordering and shopping preferences. From there, the platform allows individuals to input personal parameters manually, such as shoe sizes, specific hobbies, and dietary preferences. However, the real intrigue lies further down the page. At the bottom of the preferences dashboard, a blue hyperlink labeled "Manage your information" opens the door to the automated profile built by Amazon’s data models.
Mobile app users can reach the same destination by tapping the navigation menu, opening the account settings, heading into shopping preferences, and selecting the "About you" section.
Once inside, the depth of algorithmic profiling becomes clear. For many users, the data points range from accurate hobbies to mildly amusing lifestyle summaries. One individual noted that Amazon correctly deduced they "practice photography," "play collectible card games," and remain deeply "invested in the Apple ecosystem." The same user was even flattered by an algorithmic note indicating they "read diverse non-fiction"—prompting a lighthearted internal reflection on being perceived as an open-minded intellectual with an active thirst for knowledge.
Other observers discovered that Amazon accurately cataloged their appreciation for vinyl records, fine ceramics, a preference for "natural materials" in home decor, and a general clothing style that prioritizes physical comfort over formal trends. While none of these secondary profiles crossed the line into physical critiques as stark as the "flat buttocks" observation, the original Threads poster noted a logical explanation for her specific data point: she had previously purchased a series of "butt scrunch leggings."
The Reality of Modern Surveillance Culture
The viral moment highlights a broader, ongoing anxiety regarding just how closely major technology corporations pay attention to everyday digital activity. In an era defined by pervasive data harvesting, automated profiling, and large-scale digital tracking, discovering an overly specific corporate assumption serves as a vivid reminder of the invisible machinery driving modern e-commerce.
While society frequently grapples with alarming levels of mass surveillance and digital monitoring across public and private sectors, moments like this bring the abstract concept of big data down to a deeply personal, and occasionally hilarious, level. It turns out that algorithms do not just see consumers as abstract wallets or click-through rates; sometimes, they form very distinct, highly personalized opinions about every aspect of daily life—down to the fit of a pair of leggings.
