It should not come as a massive surprise that Amazon collects data about you based on what you buy. If a customer routinely orders large quantities of cat litter, the platform will naturally infer that they own feline pets. Similarly, purchasing specialized anti-acne skin products might lead the algorithm to deduce that the shopper is prone to occasional breakouts. Even though most consumers are well aware that the e-commerce giant customizes digital shopping experiences based on past purchase histories, it can still be jarring to see those personal details laid out in a neat, convenient list—especially when those algorithmic deductions get uncomfortably intimate.
That exact realization hit a social media user recently, turning a routine look into account settings into a viral moment. A Threads user came across a specific section of her Amazon settings where it is possible to view who the shopping giant believes you are. Alongside relatively benign and predictable assumptions like "Shops from women’s departments" and "Probably owns a Shark robot vacuum," she found that Amazon had algorithmically decided she "has flat buttocks."
The candid and humorous reaction quickly captured the internet’s attention. An Amazon customer operating under the handle @fangirlinmegan wrote on Threads that she stumbled upon a page of assumptions that Amazon had made about her based on her purchase history and was left literally speechless. She noted that while the system was not necessarily wrong, the bluntness of the observation felt like an overly personal call-out.
In less than a day, the post garnered over a million views, drawing reactions from countless other users who suddenly became curious about what their own hidden Amazon profiles might reveal.
The feature, tucked away within standard account preferences, outlines a myriad of behavioral and lifestyle inferences drawn entirely from consumer habits. On a desktop browser, this data profile can be located by navigating to the account management pages through the primary navigation bar, moving into shopping preferences, and eventually finding the administrative links that manage personal information and demographic assumptions. On the mobile application, users can navigate a similar path through the main menu, moving from account settings down into shopping preferences and profile details.
For many users, the inferences range from mundane hobbies to surprisingly accurate lifestyle portraits. One observer noted that Amazon correctly gleaned that they practice photography, play collectible card games, and remain deeply invested in the Apple hardware ecosystem. The same profile even flattered the user by noting an affinity for diverse non-fiction reading material, prompting a lighthearted reflection on being recognized as an open-minded intellectual with an ongoing thirst for knowledge.
Other colleagues and consumers who checked their own profiles discovered that Amazon had accurately cataloged interests in vinyl records and ceramics, as well as a distinct penchant for natural materials in home decor and clothing lines that prioritize everyday comfort. While none of those professional journalists or casual shoppers found anything quite as startlingly direct as an assessment of their physical posture, the original Threads user deduced a logical explanation for her unique entry. She noted that the rather specific physical assessment was likely the direct result of purchasing "butt scrunch leggings" through the platform in the past.
Incidents like this highlight a broader, ongoing conversation about the scope of corporate data collection in the modern digital economy. Tech companies and massive e-commerce conglomerates undoubtedly know a tremendous amount about their consumer base, and it can often feel jarring to realize just how closely automated systems are paying attention to the minutiae of how people navigate and utilize their platforms. In an era marked by increasingly pervasive digital tracking and widespread discussions surrounding mass surveillance, finding out that an online retailer has formed specific opinions about your lifestyle can serve as a vivid reminder of the digital footprints left behind with every online transaction. Even so, for many internet users, uncovering these quirky algorithmic portraits offers a darkly humorous glimpse into the inner workings of modern retail intelligence—proving that algorithms can sometimes be a little too honest for comfort.