Amazon’s data collection on shoppers recently sparked a surprising revelation when a Threads user named @fangirlinmegan discovered a section in her Amazon account that detailed assumptions about her based on her purchase history. Among typical inferences like ownership of a Shark robot vacuum and preferences for women’s departments was the unexpected and oddly personal label that Amazon thinks she has “flat buttocks.” The discovery went viral quickly, garnering over a million views as many users became eager to check what Amazon believes about them. This feature, accessed through the "Your Shopping Preferences" page, shows personalized details Amazon has gleaned from buying patterns, sometimes including intimate or specific traits linked to products customers have purchased.

To uncover these inferred details, users can hover over their Amazon account name on the desktop version, navigate to "Account" and then to "Your Shopping Preferences," where personalized profile data can be viewed or edited. On mobile, similar access is possible via menu navigation to Account > Shopping Preferences > About You. While some inferred traits may be flattering or accurate, like interests in photography or card games, others, such as the comment about butt shape, have caused mixed reactions. This level of detailed tracking highlights the extent to which Amazon uses purchase data for targeted marketing and personalization, raising questions about privacy and the discomfort of seeing such personalized assumptions laid bare.

Other individuals at TechCrunch found that Amazon’s profiling accurately reflected their interests, such as a taste for vinyl or preference for natural materials in décor, but none reported being tagged with something as startling as “flat buttocks.” The unusual label for @fangirlinmegan likely resulted from her buying “butt scrunch leggings,” illustrating how even specific product types influence these automated assumptions. The revelations brought attention to the pervasive nature of surveillance through consumer platforms, reminding shoppers that their every purchase is closely monitored and analyzed to create detailed psychological and lifestyle profiles for targeted advertising.

Amazon’s practice of personalization is a known aspect of its business model, but publicly exposing these intimate inferences in an accessible profile underscores the tension between convenience and privacy. Consumers are now confronting firsthand the breadth and specificity of data collected about them. While Amazon continues to leverage this data for enhanced shopping experiences, incidents like this demonstrate how revealing these insights may sometimes feel invasive or disconcerting, initiating broader conversations around data transparency and consumer awareness in the digital shopping era.