Personalized Pricing in Ride-Sharing: How Algorithms Create Different Prices for the Same Service
By
bobbiechen
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Summary
The article describes a personal experience where the author and his wife received dramatically different price quotes ($28 vs $47) for the same Uber ride at the same time and location. The author explores potential reasons for this price discrimination, including user profiling based on spending habits, payment methods (gift card vs regular payment), and algorithmic pricing strategies. The piece examines the behavioral and ethical implications of personalized pricing in digital platforms, highlighting how companies use data to maximize revenue through individualized pricing.
Key quotes
· 4 pulledMy wife's Uber app quoted her $28, while mine gave me $47. Same app, time, and place - but two wildly-different prices.
I'm usually more willing to spend than she is, and I bet that's represented on my user profile.
I was paying with a gift card, which surely contributes.
Maybe it was a price scraping update, comparison shopping detection, or a system that explores 'face-in-the-door' high prices before backing down.
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