Amazon's 'About You' Page Sparks Viral Backlash Over Invasive and Inaccurate Customer Profiles

3 min read
Source: Business Insider
Amazon's 'About You' Page Sparks Viral Backlash Over Invasive and Inaccurate Customer Profiles
Photo: Business Insider
TL;DR

Amazon's 'About You' profile page, launched in May 2026, has generated widespread public scrutiny after users discovered the platform compiles detailed, often intrusive, and sometimes erroneous dossiers on their habits. The feature aggregates data from purchase histories, searches, and Alexa interactions to create a personalized summary, but critics highlight bizarre inferences such as physical descriptions or incorrect family details. While Amazon states the tool aims to improve product recommendations, users report significant inaccuracies and privacy concerns, prompting a surge in people checking and editing their profiles.

Key points

  • The 'About You' page, introduced in May 2026, synthesizes data from marketplace searches, purchase histories, saved lists, reviews, and Alexa for Shopping interactions to create a customer dossier.
  • A viral Threads post by user fangirlinmegan highlighted the page's intrusive nature, specifically citing an assertion that she 'has flat buttocks,' which garnered over one million views and sparked broader public interest.
  • Users report mixed accuracy; while Amazon correctly identifies many transactional habits, it frequently makes incorrect inferences about family size, relationships, and physical attributes, such as misidentifying a partner's name or claiming a user has 'skinny legs.'
  • Amazon allows users to view, update, or delete specific data points within the profile, though critics argue the sheer volume and specificity of the collected data, including details about pets and household items, raise significant privacy concerns.
  • The feature is accessible via the 'Account' menu on desktop and through 'Shopping Preferences' on mobile, with Amazon stating the goal is to connect customers with products that better fit their needs.

Background

This controversy follows a broader trend of increased scrutiny regarding corporate data collection. In September 2026, Amazon faced unrelated operational issues, including a fatal cargo jet crash in Miami, but the current issue focuses on digital surveillance. The 'About You' feature represents a shift from passive data tracking to active, user-facing profiling, contrasting with earlier privacy concerns about hidden data usage by other corporations like McDonald's, which was recently reported to keep extensive customer intelligence files.

How outlets are covering it

Business Insider emphasizes the humorous and sometimes 'judgy' nature of the profiles, noting that while transactional data is often accurate, human conclusions are frequently flawed, such as misidentifying the number of children or partners. Futurism frames the issue as a privacy violation, highlighting the 'insulting' and invasive nature of the data, such as claims about a user's body or social life, and compares it to broader corporate surveillance practices. CNET focuses on the technical specificity of the data, such as Amazon knowing the name of a goldfish via Alexa wake words, and provides practical guidance on how to access and edit the profiles, noting that while some data is accurate, the depth of inference is 'shocking.'

Why it matters

The viral backlash highlights growing consumer anxiety over the extent of corporate data collection and the potential for invasive profiling. It underscores the tension between personalized marketing and privacy, forcing users to confront the detailed digital footprints they leave behind and the potential for inaccurate or offensive inferences by AI-driven systems.

What to watch

Amazon is likely to face increased pressure to improve the accuracy and transparency of its 'About You' feature. Users may continue to share their profiles on social media, potentially leading to further public scrutiny or regulatory attention regarding data privacy and the ethical implications of AI-driven customer profiling.

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