Loading...
Loading...
Maryland has become the first U.S. state to pass a law banning “surveillance pricing,” prohibiting businesses from charging different prices or offering different terms based on consumers’ personal data or online behavior. The legislation targets practices that use tracking, browsing history, device identifiers, or other personal information to tailor prices, aiming to curb discriminatory or opaque algorithmic pricing and protect consumer privacy. Lawmakers and privacy advocates framed the bill
Retail has shifted from visible fixed pricing to a new, covert variable model: surveillance pricing. Firms now use online data—purchase histories, location, demographics and third‑party brokers—to tailor and raise prices for different consumers, extracting more consumer surplus. Historical examples include Ticketmaster’s dynamic pricing, Uber’s surge pricing, Orbitz favoring Mac users, GPS‑based markups by Staples and Target, and recent Instacart grocery price variations. The article argues surveillance pricing thrives on market failures—information asymmetries, behavioral capture, and concentrated digital platforms—and that disclosure or outright bans won’t fix the systemic problems of data brokers, targeted advertising, and algorithmic extraction. It frames the issue as a tech‑driven rollback of pricing transparency with broad consumer‑protection and policy implications.
The article argues that modern “surveillance pricing” resurrects variable pricing through data-driven targeting: firms exploit detailed consumer data—purchase histories, location, demographics—and opaque algorithms to charge different customers different prices. It traces the shift from 19th-century price tags to today’s extractive practices, citing Ticketmaster’s dynamic pricing, Uber’s surge pricing, Orbitz showing pricier hotels to Mac users, and recent grocery price disparities on Instacart. The piece warns these tactics rely on information asymmetries, data brokers, and market concentration, enabling firms to capture consumer surplus rather than replace haggling with fairness. It suggests bans on surveillance pricing are insufficient unless broader systemic issues—data opacity, platform power, and weak consumer standing—are addressed.
Maryland passed the nation’s first law banning “surveillance pricing,” prohibiting businesses from charging different prices or terms based solely on consumers’ personal data or identity. The bill, sponsored by state lawmakers and backed by privacy advocates, targets algorithmic and data-driven differential pricing tied to online tracking, purchase history, or demographics. Companies will still be allowed to offer discounts or loyalty pricing, but the law limits automated personalization that results in unfair pricing based on personal data. This matters for tech platforms, e-commerce firms, ad-tech and data brokers because it creates a legal precedent constraining data-driven personalization and could inspire similar state or federal regulation affecting pricing algorithms and consumer-targeting practices.
JetBlue said it does not use 'surveillance pricing' after a viral tweet alleged the airline tracked a customer’s phone and raised fares. The airline told TechCrunch and Reuters that it doesn’t access individual phones or specific browsing history to set prices, and that fares reflect supply-and-demand algorithms, inventory control and market factors. The episode highlights wider concerns about personalization, ad tracking and dynamic pricing across travel platforms, with passengers worried data from apps, emails or device IDs could be used to hike costs. Tech platforms, privacy advocates and regulators are watching how airlines and travel sites balance personalized offers with transparency and user privacy.
Maryland has become the first U.S. state to pass a law banning “surveillance pricing,” prohibiting businesses from charging different prices or offering different terms based on consumers’ personal data or online behavior. The legislation targets practices that use tracking, browsing history, device identifiers, or other personal information to tailor prices, aiming to curb discriminatory or opaque algorithmic pricing and protect consumer privacy. Lawmakers and privacy advocates framed the bill as a needed check on data-driven commercial models used by retailers, platforms, and ad-tech firms; businesses argue it may complicate legitimate personalization and dynamic pricing. The law could set a regulatory precedent affecting e-commerce, adtech, and data-driven pricing strategies nationwide.