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FTC moves to make retailers disclose use of ‘personalized pricing’ as technology now enables broad consumer surveillance

تكنولوجيا
فورتشن العربية
2026/08/24 - 19:40 502 مشاهدة
تحليل ذكي | AI Editorial Analysis

The Federal Trade Commission is moving to ensure companies disclose use of customers’ personal data to set prices, as technology makes it easier for retailers to tailor them to individual shoppers.

The FTC said that it is seeking public comment on an enforcement policy statement concerning “personalized pricing,” which the agency defines as using personal data to determine how much a company bel...

The proposal would warn companies that failing to disclose that they are using personal data to set prices could violate the FTC Act’s prohibition on unfair or deceptive practices.

هذا الخبر من فورتشن العربية. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

The Federal Trade Commission is moving to ensure companies disclose use of customers’ personal data to set prices, as technology makes it easier for retailers to tailor them to individual shoppers.

The FTC said that it is seeking public comment on an enforcement policy statement concerning “personalized pricing,” which the agency defines as using personal data to determine how much a company believes an individual consumer is willing to spend. The proposal would warn companies that failing to disclose that they are using personal data to set prices could violate the FTC Act’s prohibition on unfair or deceptive practices.

“When consumers see a listed price, they expect it to be the same price that everyone else sees, not the retailer’s estimate of how much they are willing to pay based on their personal data,” FTC Chairman Andrew Ferguson said in a press release. “The FTC does not have the legal authority to ban personalized pricing in all circumstances, but businesses that fail to tell consumers how their personal data is being used to set a price may be in violation of the FTC Act and other laws we enforce.”

The FTC did not immediately respond to a request for comment from Fortune. The proposal is open for public comment through Sept. 18.

The regulator’s action comes after more than two years of scrutiny into what it calls “surveillance pricing.” In July 2024, the FTC ordered eight companies involved in pricing technology to provide information about how they use customer data—including location, demographics, credit history and browsing or shopping history to help companies determine prices. 

“Americans deserve to know whether businesses are using detailed consumer data to deploy surveillance pricing,” then FTC Chair Lina M. Khan said at the time, “and the FTC’s inquiry will shed light on this shadowy ecosystem of pricing middlemen.”

The FTC’s January 2025 findings said pricing intermediaries could use information ranging from a consumer’s precise location and browser history to shopping behavior and even mouse movements to help retailers tailor prices or promotions. The agency said the companies it examined had worked with at least 250 clients, including grocery retailers.

The deep dive into personalized pricing comes after the FTC recently flagged dynamic pricing—or setting prices based on supply and demand as well as inventory levels and competitor pricing.

An FTC research document noted that companies using e-commerce websites or electronic shelf labels could potentially make price changes with similar frequency.

“Consumers expect prices for products and services to change based upon supply and demand, not their web surfing habits or buying history,” it noted. “Retailers who represent or imply that a price is static when it in fact varies by individual are at risk of misleading customers.”

The distinction is becoming more significant as consumers contend with years of elevated inflation, including higher grocery bills. In July, prices for fruits and vegetables rose 5.1% from a year ago, while nonalcoholic beverages rose 4.1%, according to the Bureau of Labor Statistics. 

Food costs also take up a disproportionate amount of spending in lower-income American households. In 2024, those in the lowest quintile spent an average $5,498 on food—equivalent to 33% of their pretax income—compared to 12.2% for households in the middle income quintile, according to the USDA.

This story was originally featured on Fortune.com

المصدر: فورتشن العربية | Source: فورتشن العربية

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة فورتشن العربية. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by فورتشن العربية. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: فورتشن العربية. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: فورتشن العربية. Tags: FTC, retail, consumer surveillance.

مقالات ذات صلة

خبر — منصة إخبارية ذكية | Khabr — AI-Powered News Platform

خبر هو أول مجمّع أخبار عربي يعمل بالذكاء الاصطناعي. نقدم تحليلات ذكية وملخصات تلقائية ورواية صوتية لكل خبر من أكثر من 700 مصدر موثوق. نضيف قيمة تحريرية فريدة من خلال أدوات الذكاء الاصطناعي التي تساعدك على فهم الأخبار بعمق أكبر.

Khabr is the first AI-powered Arabic news aggregator. We provide AI-generated editorial analysis, automated summaries, audio narration, and fact-checking for every article from 700+ trusted sources. Our platform adds unique editorial value through AI tools that help you understand the news more deeply.

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