Amazon has long turned shopping data into personalized recommendations. Now the company has given customers a window into those inferences. The result? A feature that has sent social media into a frenzy.

Users scrolling through their accounts this week discovered oddly personal statements. One learned Amazon concluded she “has flat buttocks.” Another saw a note that she “cannot keep real plants alive.” A third found the retailer believed she “treats cats as biological children.” The list goes on. “Cusses when scared.” “Has no friends.” “Does not trust people easily.”

The page, called About You, sits quietly in account settings. Few knew it existed until a Threads post by user Megan Montgomery went viral. Her screenshot, showing assumptions drawn from purchases like butt-scrunch leggings and party supplies for a Bluey-themed birthday, triggered millions of views and copycat shares. The Verge first chronicled the phenomenon as it spread across platforms on October 7, 2026.

Amazon launched the feature in May. It draws from purchase history, search queries, saved lists, product reviews and conversations with its Alexa for Shopping assistant. The company described the tool as a way for shoppers to view, edit or delete details that shape their experience. “Understanding your preferences is fundamental to providing you with high-quality, relevant recommendations,” Amazon staff wrote in the announcement on its corporate site.

Yet the inferences often feel less like helpful preferences and more like personality assessments. Staff at TechCrunch checked their own profiles. One reporter learned Amazon pegged him as someone who “practices photography,” “plays collectible card games” and is “invested in the Apple ecosystem.” Another saw notes on interests in vinyl records, ceramics and “natural materials” in home decor. Accurate, yes. Unsettling? For many.

On Reddit, users reported the system pulling phrases directly from their product reviews. One wrote that seeing those details saved and synthesized “seriously creeps me out.” The observations span categories from product preferences to interests, hobbies, home and family life. Some reference specific events prepared for or brands repeatedly bought. Others venture into physical attributes or emotional traits.

And. This transparency arrives at a moment when Amazon’s retail media business dominates advertising. The company collected nearly $70 billion in ad revenue last year. Much of that power stems from first-party data generated by billions of shopper interactions. About You makes one slice of that data visible. It does not reveal how the inferences feed into ad targeting, AI shopping assistants or third-party seller recommendations.

Accessing the page takes just a few clicks. On the mobile app, tap the account icon, navigate to shopping preferences and select About You. Desktop users hover over their name, choose account settings, scroll to shopping preferences and find the manage information link. Voice users can simply ask Alexa for Shopping, “What do you know about me?” The company says customers can provide feedback on each item, add their own details or remove entries entirely.

Amazon insists the feature puts control back in shoppers’ hands. But the rollout has highlighted limits of that control. Data from past searches or offhand Alexa queries can generate statements that feel judgmental. A purchase of certain leggings becomes commentary on body shape. A pattern of buying pet supplies turns into assumptions about treating animals like children.

Privacy advocates have raised concerns for years about the volume of information Amazon gathers. The company tracks orders, browsing, returns, device information and more. It combines signals across its empire — from Whole Foods purchases to Prime Video viewing to Ring camera activity. About You surfaces only a curated, editable layer. The underlying models remain opaque.

Recent coverage shows the feature is still evolving. The Next Web noted on October 7 that profiles draw explicitly from Alexa chats and reviews. Users can delete items, yet Amazon may regenerate similar inferences from fresh activity. The company has not detailed exactly how machine learning translates a series of transactions into a phrase like “flat buttocks.”

Retail media networks, led by Amazon, now command a massive share of digital ad spending. Brands pay to reach shoppers based on these rich profiles. Greater visibility into the profiles could benefit consumers. It could also make them more wary. One Fast Company report from October 6 quoted multiple users disturbed by the specificity. The piece described the page as a “customer dossier.”

Amazon’s move fits a broader pattern. Retailers increasingly use AI to infer traits from behavior. The difference here is the direct exposure. Shoppers see not just recommended products but the characterizations that drive those suggestions. Some find it flattering. Others feel exposed.

Executives at the company have pushed personalization as a core advantage. In earnings calls and product announcements, they tie it to higher conversion rates and customer satisfaction. Yet when those inferences become public — even to the individual — reactions turn mixed. Threads filled with screenshots ranging from amusement to discomfort.

So what happens next? Amazon says it will refine the feature based on feedback. Users deleting odd entries may train the system to avoid similar conclusions. Or the company could add more categories. The beta label on the page suggests iteration lies ahead.

For industry watchers, the episode offers a rare glimpse inside the black box of retail data. It shows how granular the profiles have become. A single clothing purchase, a review mentioning fear, a pattern of buying houseplants that later die — all feed the model. The output reads like a quirky biography written by an algorithm that never forgets.

Critics argue this level of profiling raises larger questions about consent and use. Amazon’s privacy notices disclose broad data collection for personalization and advertising. Few read them in full. The About You page functions as an accidental privacy notice, one written in blunt, sometimes humorous language.

New York Post coverage on October 7 captured the public mood. Headlines called the feature “judging you harder than your mother ever could.” The internet, it seems, appreciates the candor even as it squirms at the implications. Meanwhile, Amazon continues to expand its ad tech offerings to other retailers, seeking to export the model that powers its own marketplace.

The feature, for all its viral oddities, underscores a simple truth. Every click, query and purchase builds a portrait. Amazon has decided to show parts of that portrait back to its subjects. The reactions reveal how little many shoppers understood about the depth of that portrait — until now.