Making sense of dynamic pricing
Making sense of dynamic pricing
Dynamic pricing is coming to the 2026 World Cup鈥攁nd fans are already crying foul, reports. No sooner was the announcement made by FIFA, the international governing body of soccer, than Zohran Mamdani, the leading candidate for mayor of New York City and a democratic socialist, said he had to press FIFA to drop the and 鈥減ut game over greed.鈥
One price for all
Is FIFA鈥攁nd every other practitioner of dynamic pricing from Uber and Amazon to Marriott, Delta, and Target鈥攔eally playing dirty? Are they price-gouging their customers, or are they improving their bottom line while offering a better overall deal to consumers?
Dynamic pricing is very different from uniform pricing, where a product or service has one price, no matter who鈥檚 buying or when (apart from discounts, introductory offers, and other sales campaigns).
As used to it as consumers are now, uniform pricing was once an economic innovation as radical as dynamic pricing seems today. A single good , depending on the quality of the specific item, which before mass production could vary greatly. And under the , those with less leverage were at a disadvantage.
In the mid-1800s, department store innovator John Wanamaker took the one-price-for-everyone approach credited to the Quakers, who believed haggling over price was unfair. And he became something of an 鈥渆vangelist for the price tag,鈥 according to the 鈥溾 podcast host Jess Jiang. Wanamaker saw both the branding benefit of uniform pricing鈥攊t appeared equitable to customers鈥攁nd its practical benefit in speeding up transactions.
The adoption of uniform pricing grew in tandem with the rise of the department store, from its birth in the mid-1800s to its gradual decline starting about 100 years later, when these stores were outcompeted by discounters and other retailers with lower cost structures. Today, consumers consider uniform pricing normal, if not always fair.
And yet, one price for all isn鈥檛 necessarily fair, either to businesses or consumers. In fact, there were always good intuitive counterexamples to uniform pricing. To take just one, a room at a resort is worth much more in peak season than in the offseason鈥攁nd prices reflect this reality.
If, for some reason, that resort can鈥檛 adjust its prices, it has a very difficult decision on its hands: Charge for the peak times and price itself out of business the rest of the year, or charge at consistent, below-market rates and risk not bringing in enough revenue to meet its costs. Potential guests would suffer, too: Either fewer would be able to afford to stay, or a flood of guests would have an increasingly bad experience, as the resort couldn鈥檛 afford to adequately pay its workers and service and maintenance would suffer.
If the price people are willing to pay falls on a curve, as some of us learned in economics class, a uniform price can meet demand at only one point on that curve. Dynamic pricing can theoretically meet at many points along that curve:
鈥淒ynamic pricing helps match supply to demand more efficiently,鈥 as a by the Mercatus Center at George Mason University puts it, 鈥渂y incentivizing consumption during low-demand periods and disincentivizing it when there is an excess of demand relative to supply.鈥
The rise of dynamic pricing.
Uniform pricing standards first began to loosen in the airline industry. After the industry deregulation of the late 1970s, competition began to intensify as discount providers such as People Express entered the space. In response, American Airlines, a , cut prices on tickets purchased far ahead of time and charged as high a price as demand could support on tickets purchased days before departure.
The adjacent hotel and rental-car industries soon followed. What is utilized to inform their pricing decisions? Data. For airlines, it was centralized reservation systems such as , Apollo, and others, which . Hoteliers had built similar systems in-house. All these systems contained real-time data on future demand鈥攃rucial for dynamic pricing.
With improvements in technology and computational power, as well as the rise of the internet, this data advantage has exploded. Businesses were gaining on buyers, transactions, inventory, and competitor pricing鈥攁s well as the interactions of these elements with one another.
In the last decade, artificial intelligence has added predictive power to the mix of tools businesses now can use in adjusting prices to demand. Today, dynamic pricing isn鈥檛 just about incorporating past data into prices, but also predictions about future demand. Dynamic pricing is one of the , according to the consulting firm Deloitte.
This has helped businesses recapture the value lost in traditional transactions. Amazon taps its own historical price data, drawing inferences from past price changes and sales, predicting future demand鈥攁nd changing prices on , . Dynamic pricing may have in some years by as much as 25%, according to a 2016 DZone analysis.
But the value-capturing improvements of dynamic pricing don鈥檛 come easy. Such pricing data comparisons across many customer and competitor dimensions, the development of algorithms, and testing before the pricing system goes live. It鈥檚 also a big investment in people and technology.
Theory meets human.
Dynamic pricing is a true balancing act鈥攂ecause it involves people, with all their biases, notions of fairness, and tendencies toward irrationality. Consumers generally understand they鈥檒l have to pay more for a snow blower in January than in July. But they , as Harvard Business Review writers Marco Bertini and Oded Koenigsberg , or when frequent price fluctuations make life harder. Dynamic pricing is also 鈥渁 massive communications effort,鈥 the authors write.
Consumers generally default to skepticism, as Wendy鈥檚, JetBlue, and Legoland found out following announcements about adopting dynamic pricing. They may confuse it with the practice of 鈥攗sing personal information, such as a customer鈥檚 home address, to determine what price they鈥檒l be charged. Or they may experience Uber surge pricing during a snowstorm and feel it鈥檚 simply price gouging.
As economics writer James Surowiecki puts it, 鈥渆xpands the number of people who are actually able to get a ride鈥 by offering a higher price to get more Uber drivers (who are contractors to be persuaded, not employees to be ordered around) out on the road picking up customers.
鈥淐ustomers pay more, but they also get a ride that they otherwise would not have gotten. This is exactly how a market is supposed to work: higher demand induces more supply.鈥
The accusation that FIFA is price gouging might appeal to consumers鈥 default assumption that they鈥檙e one transaction away from getting ripped off, but dynamic pricing allows prices to fall when demand falters. For example, dynamic pricing was used during the recent FIFA Club World Cup tournament, and ticket prices for a semifinal at New York鈥檚 MetLife Stadium between Chelsea and Fluminense .
A lower, fixed price for World Cup tickets might allow more deserving New Yorkers of modest income to get tickets鈥攊f they can get them. Because, as The Athletic鈥檚 Henry Bushnell observed, lower prices also create an 鈥攁 problem FIFA is trying to solve in part with dynamic pricing. A ticket scalped several times over benefits no one but the scalpers, not working-class New Yorkers, much less the average consumer.
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