What if an online price is not only describing the product—but estimating how urgently you need it?
This investigation follows Maya, a disclosed fictional composite, through one late-night search. Then it separates three systems that are often confused: dynamic pricing, segmented offers, and personalized pricing. Using current Federal Trade Commission material, we examine what pricing intermediaries can infer from location, browsing history, abandoned carts and other behavior—and what remains unknown.
Important context: the disturbing examples discussed by the FTC are hypotheticals, not findings that a named retailer committed those acts. The proposed August 2026 enforcement policy is not a universal ban. Its central focus is clear disclosure when personal data shapes a price consumers would reasonably expect to be generally available.
00:00 Maya's late-night price mystery
00:59 The price tag that knows too much
01:04 Dynamic price or personal price?
02:09 The intermediaries between you and the seller
02:55 The FTC's disturbing hypotheticals
03:43 What we still do not know
05:00 The proposed disclosure policy
05:40 What honest personalization would look like
06:47 Four ways to keep comparison possible
07:11 What the price tag may reveal about you
