● Covered by 1 source · 1 reportLow impact1 neutral
How to Access Amazon's Inferred Personal Data Profile
Key points
- Amazon infers personal data from purchase history.
- Users can view Amazon's assumptions about them.
- Access is via 'Your Shopping preferences' then 'Manage your information'.
- Inferences can include physical attributes like 'flat buttocks'.
Amazon's Data Collection Practices
Amazon collects data based on user purchases to customize shopping experiences. This practice allows the company to infer various details about its customers, such as pet ownership or skin conditions, based on product acquisitions like cat litter or anti-acne products.
Discovery of Intimate Inferences
A Threads user, @fangirlinmegan, discovered a section within her Amazon settings that listed specific assumptions Amazon had made about her. Among these inferences, which included benign details like 'Shops from women’s departments,' was the assumption that she 'has flat buttocks.' This revelation garnered over a million views and prompted other users to investigate their own Amazon profiles.
How to Access Your Amazon Profile
To view these inferred details on a desktop, users can hover over 'Hello, [your name]' in the upper right corner, click 'Account,' then navigate to 'Your Shopping preferences' under 'Ordering and shopping preferences.' Scrolling to the bottom of this page reveals a blue hyperlink labeled 'Manage your information.' On the mobile app, the path is: hamburger icon > Account > Shopping preferences > About you.
Examples of Inferred Data
Examples of inferred data include hobbies like 'practices photography' or 'plays collectible card games,' and affiliations such as being 'invested in the Apple ecosystem.' Amazon also makes inferences about intellectual habits, such as 'read diverse non-fiction.'
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
Amazon maintains a profile of inferred personal characteristics based on user purchase history, which can be accessed by customers. This profile includes assumptions ranging from shopping habits to physical attributes, as discovered by a Threads user.