Yes to California's Bill to Ban Surveillance Pricing

· Source: Deeplinks · Field: Legal & Regulatory — Compliance & Risk Management, Regulatory Affairs & Government Relations · Depth: Intermediate, medium

Summary

California's S.B. 2564 bill aims to ban "surveillance pricing," a practice where corporations offer customized prices for goods based on individuals' personal data, including browsing history, physical location, and shopping transactions. An FTC report in 2025 detailed how six companies provide these services, leading to discriminatory pricing examples like The Princeton Review charging Asians higher prices for test prep, Uber/Lyft charging more in non-white neighborhoods, and Tindr charging older users more. The Electronic Frontier Foundation (EFF) supports S.B. 2564, citing concerns over privacy invasion, disparate impact on vulnerable groups, and lack of price transparency. The bill defines surveillance pricing as a customized price based on personally identifiable information collected through electronic surveillance, including third-party data. It provides for state/local government enforcement and a private right of action for consumers, with three exemptions for cost-based differences, termination discounts, and uniformly available, conspicuously posted discounts. The bill has advanced to the California Senate.

Key takeaway

For legal professionals and policymakers drafting privacy legislation, S.B. 2564 offers a clear model for directly addressing surveillance pricing. Your efforts should focus on defining the practice precisely and ensuring robust enforcement mechanisms, including a private right of action, to protect consumers from discriminatory and opaque pricing. Consider how specific exemptions can prevent unintended consequences while upholding the core principle of privacy as a fundamental right.

Key insights

Surveillance pricing, customizing product costs based on personal data, harms privacy, equity, and transparency, necessitating legislative bans.

Principles

Method

Surveillance pricing involves collecting browsing, location, and transaction data, sorting customers into groups, and then dynamically adjusting product prices based on these profiles.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Legal Professional, Policy Maker, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Deeplinks.