It should come as little surprise that Amazon collects data about you based on what you buy. If a customer routinely purchases bulk quantities of cat litter, the e-commerce giant will likely infer that they own a cat. Similarly, buying anti-acne skin products might prompt Amazon’s algorithms to guess that the individual is prone to breakouts. Even though most consumers are well aware that the retail giant customizes shopping experiences based on purchase history, it still comes as a shock to see all of those personal details laid out in a convenient, neatly organized list—especially when those algorithmic deductions get uncomfortably intimate.
That realization hit home for one social media user recently when she stumbled across a lesser-known section of her Amazon account settings. This is the area where the shopping behemoth displays its internal assessment of who you are, based strictly on your browsing habits, shopping patterns, and order history. Alongside relatively benign assumptions—such as "Shops from women’s departments" and "Probably owns a Shark robot vacuum"—she found that Amazon had deduced that she "has flat buttocks."
The bizarre and unexpectedly personal revelation quickly went viral. "I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless," wrote an Amazon customer who goes by the handle @fangirlinmegan 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 garnered over a million views, triggering a wave of amusement, disbelief, and morbid curiosity. Thousands of users flooded to their own accounts to see what kind of oddly specific psychological and physical profile the corporate algorithm had silently built for them.
The feature, which is tucked away within the depths of Amazon’s user interface, allows customers to manually add personal information—such as shoe sizes, specific hobbies, and dietary preferences—to tailor their shopping experience. However, the real draw for the viral surge was the backend data profile, where shoppers can uncover the dirt that Amazon has compiled on them over years of ordering household goods, electronics, clothing, and books.
For many users, the discoveries ranged from mundane to startlingly accurate reflections of their daily lives. One reviewer noted that Amazon had correctly gleaned that they were someone who practices photography, plays collectible card games, and remains deeply invested in the Apple ecosystem. For the most part, these technical assumptions feel standard for modern digital advertising tracking. Amazon even managed to flatter certain shoppers by noting that they read diverse non-fiction, a categorization that feels less like a cold corporate data point and more like an intellectual compliment.
Other technology reporters and everyday shoppers alike began comparing notes across social media platforms, finding that Amazon accurately pinpointed interests in vinyl records, ceramics, and a distinct penchant for natural materials in home decor, as well as clothing lines that prioritize comfort. None of those early reviewers encountered anything quite as startlingly direct as "has flat buttocks," though the Threads user who sparked the trend later surmised that the overly descriptive anatomy assessment was likely triggered by a prior purchase of butt-scrunch leggings.
Incidents like this highlight a broader, ongoing cultural unease regarding data collection in the digital age. Major technology companies know a staggering amount about their users, and it can be jarring to realize just how closely algorithms are paying attention to the minutiae of everyday platform use. Consumers live in a world of increasingly pervasive and alarming surveillance, where machine learning models parse every click, search, and commercial transaction to construct hyper-detailed consumer profiles.
Yet, while corporate data harvesting remains a serious and contentious issue surrounding digital privacy, the viral Amazon profile incident offered a rare moment of dark algorithmic comedy. It serves as a reminder that behind the seamless convenience of two-day shipping and personalized recommendations lies a digital tracker that might just look a little too closely at your shopping cart—leaving you to wonder what else the machine thinks it knows about you.
