How to find out if Amazon thinks you have ‘flat buttocks’
A viral social media post revealed that Amazon's profile settings display specific assumptions about users based on their purchase history. One user shared that the platform inferred she has 'flat buttocks' after she bought butt scrunch leggings. The article provides instructions on how to access these settings to view the personal data and interests Amazon has compiled about individual customers.
- ▪An Amazon customer named @fangirlinmegan shared a screenshot of her account settings showing the platform assumes she has flat buttocks.
- ▪The article explains that users can find this information by navigating to 'Manage your information' within their shopping preferences on desktop or mobile.
- ▪Amazon generates these profiles by analyzing purchase history to infer details such as hobbies, dietary preferences, and physical characteristics.
- ▪The viral post received over one million views, prompting many users to check their own Amazon profiles for similar data points.
- ▪Other users reported that Amazon correctly identified their interests in photography, collectible card games, and specific home decor styles.
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Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/10/06/how-to-find-out-if-amazon-thinks-you-have-flat-buttocks/ |
| Publication time | Tue, 06 Oct 2026 22:55:39 +0000 |
| Retrieval time | 2026-10-06T23:00:37.394Z |
| Last seen | 2026-10-06T23:00:37.394Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | cXUecr6eJDjY · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
It shouldn’t come as a surprise that Amazon collects data about you based on what you buy. If you buy a lot of cat litter, Amazon will probably infer that you have cats, or if you buy a lot of anti-acne skin products, then Amazon might guess you’re prone to breakouts. Even if we know that Amazon customizes our shopping experiences based on our purchase history, it still comes as a surprise to see all of these personal details laid out in a convenient list. Especially when those details get uncomfortably intimate.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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