How Online Shopping Makes Suckers of Us All
Will you pay more for those shoes before 7 p.m.? Would the price tag be different if you lived in the suburbs? Standard prices and simple discounts are giving way to far more exotic strategies, designed to extract every last dollar from the consumer.
Will you pay more for those shoes before 7 p.m.? Would the price tag be different if you lived in the suburbs? Standard prices and simple discounts are giving way to far more exotic strategies, designed to extract every last dollar from the consumer. As Christmas approached in 2015, the price of pumpkin-pie spice went wild. It didn’t soar, as an economics textbook might suggest. Nor did it crash. It just started vibrating between two quantum states. Amazon’s price for a one-ounce jar was either $4.49 or $8.99, depending on when you looked. Nearly a year later, as Thanksgiving 2016 approached, the price again began whipsawing between two different points, this time $3.36 and $4.69.
We live in the age of the variable airfare, the surge-priced ride, the pay-what-you-want Radiohead album, and other novel price developments. But what was this? Some weird computer glitch? More like a deliberate glitch, it seems. “It’s most likely a strategy to get more data and test the right price,” Guru Hariharan explained, after I had sketched the pattern on a whiteboard. The right price—the one that will extract the most profit from consumers’ wallets—has become the fixation of a large and growing number of quantitative types, many of them economists who have left academia for Silicon Valley.
It’s also the preoccupation of Boomerang Commerce, a five-year-old start-up founded by Hariharan, an Amazon alum. He says these sorts of price experiments have become a routine part of finding that right price—and refinding it, because the right price can change by the day or even by the hour. (Amazon says its price changes are not attempts to gather data on customers’ spending habits, but rather to give shoppers the lowest price out there.) It may come as a surprise that, in buying a seasonal pie ingredient, you might be participating in a carefully designed social-science experiment. But this is what online comparison shopping hath wrought...
- Tags:
- Amazon
- Amazon Selling Coach
- Benjamin Shiller
- big data
- Bonnie Patten
- Boomerang Commerce
- data collection
- eBay
- Eric Schmidt
- Everlane
- Faisal Masud
- Gabriel Tarde
- General Motots
- Google AdWords
- Guru Hariharan
- Hal Varian
- Hariharan
- Jeff Bezos
- Jerry Useem
- John Nash
- John Wanamaker
- machine learning
- Marc Ecenbarger
- Michael Preysman
- Netflix
- online shopping
- Overstock
- predictive software
- price discrimination
- Price Perception Index
- radical transparency
- Robert Dolan
- Rowland H. Macy
- Steve Tadelis
- Thomas Nagle
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