Digital edition
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AI & tomorrow · A BOOK PROPOSAL
The Price Knows Your Name
What happens when your data helps decide what you pay?
This proposed book would open the black box between the data people leave behind and the offers they see. It would distinguish ordinary discounts, dynamic pricing, personalized recommendations, and pricing informed by personal data without treating them as identical practices. Through accessible examples, it would examine how sellers estimate willingness to pay, what researchers can actually establish, and which comparisons help consumers ask better questions about a price that appears to be just for them.
Inside the proposed edition
- One product, several possible prices
- The clues left by a shopping session
- Recommendations, discounts, and discrimination
- What pricing intermediaries actually sell
- How to compare an offer intelligently
- The argument over fair prices and privacy
The idea behind the book +
The FTC's January 2025 initial study findings describe intermediaries that can use granular consumer data to tailor prices, promotions, and product displays. The agency used hypothetical examples to protect confidential information, so the book would distinguish documented capabilities from claims about any particular retailer.
One digital copy · USD · Copyright stays with the author.