It should not come as a great surprise that Amazon collects a vast amount of data about its users based on their purchasing habits. If a household regularly buys bulk quantities of cat litter, Amazon will promptly infer that cats live on the premises. Similarly, if an account frequently orders anti-acne skin treatments, the e-commerce giant might deduce that the buyer is prone to sudden breakouts. Even though most consumers are well aware that online retailers constantly customize shopping experiences based on past orders, it still comes as a distinct shock to see all of those personal inferences laid out neatly in a convenient list, especially when those algorithmic assumptions turn out to be uncomfortably intimate.
A recent viral moment on Meta’s Threads platform highlighted this exact phenomenon. A user stumbled across a hidden section of her Amazon account settings where the shopping giant explicitly details who it thinks she is. Alongside relatively benign assumptions such as "Shops from women’s departments" and "Probably owns a Shark robot vacuum," she discovered that Amazon’s automated profiling system had deduced that she "has flat buttocks."
The discovery quickly captured the attention of social media users worldwide. "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, known online as @fangirlinmegan, in a post that resonated with millions. "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, sparking widespread curiosity as thousands of online shoppers rushed to check their own profiles to see what kind of digital portrait Amazon had constructed of them.
The feature, buried deep within standard account settings, allows users to view and even edit the demographic and lifestyle assumptions that the platform uses for targeted advertising and personalized recommendations. On a desktop computer, the page can be accessed by navigating through the main account menu under ordering and shopping preferences, heading to shopping preferences, and scrolling down to a hyperlinked option labeled "Manage your information." On the mobile application, users can locate the section by navigating through the account menu to shopping preferences and selecting the "About you" tab.
While the page allows shoppers to manually input personal details such as shoe size, interests, and dietary preferences, its primary function as a mirror for consumer habits often yields surprisingly specific psychological and lifestyle profiles. For many users, the results are remarkably accurate, if occasionally uncanny.
Other users investigating their own profiles have found that Amazon’s automated systems correctly deduced intricate personal hobbies and consumer habits. For some, the platform accurately gleaned that they practice photography, participate in collectible card games, or are heavily invested in the Apple ecosystem. Other shoppers found that Amazon flattered them by noting preferences for diverse non-fiction reading, effectively casting them as open-minded intellectuals with an insatiable thirst for knowledge.
Additional findings among colleagues and online observers included accurate notes on interests in vinyl records and ceramics, as well as a penchant for natural materials in home decor and clothing that prioritizes comfort above all else. While most people discover relatively tame lifestyle markers, the viral Threads user who sparked the trend deduced that her specific algorithmic label was likely the result of purchasing "butt scrunch leggings," demonstrating how literal algorithmic translations of clothing items can sometimes manifest as blunt personal assessments.
Incidents like this highlight the broader, ongoing conversation about digital privacy and the sheer volume of data that modern technology companies retain about everyday consumers. Major tech platforms know an immense amount about how individuals live, dress, eat, and spend their money, and it can often be jarring to realize just how closely these systems pay attention to routine digital interactions. In an era defined by alarming corporate and state surveillance, discovering that an e-commerce retailer has synthesized your purchase history into blunt anatomical or lifestyle summaries serves as a stark reminder of the digital footprints left behind with every online transaction.
