Picture yourself standing in an electronics store, holding a laptop you have been eyeing for weeks. Out of habit, you pull out your phone and check the same retailer’s website. The online price is forty dollars lower. Now you are stuck. Do you buy it here, or order it online and wait for delivery? And why are the prices different in the first place?
That small moment of friction sits at the center of a question many retailers face as they knit together their physical and digital storefronts. Should a company charge the same price everywhere, or keep prices flexible across channels to chase different kinds of shoppers? A study published in the Journal of the Academy of Marketing Science offers evidence on what happens when a retailer makes the switch to one consistent price, and the answer turns out to depend heavily on timing.
Two ways to set a price
For years, many retailers have used what the authors call channel-specific pricing. The idea is to charge different prices for the identical product depending on where it is sold. A store might post a higher price in person, where shoppers are less likely to comparison shop, and a lower price online, where price-sensitive buyers can easily click away to a competitor. This approach lets a firm squeeze more value from customers who are willing to pay more while still attracting bargain hunters.
The alternative, uniform pricing, sets the same price across every channel. The appeal is consistency. When a shopper knows the price will be identical whether they buy online or in the store, they no longer feel the need to double-check across channels or worry they are being treated unfairly. The authors note that uniform pricing has been gaining ground, rising from about 21% of retailers in 2013 to roughly 50% by 2018.
Despite that trend, surprisingly little research had directly compared how the two strategies actually affect sales. Mengzhou Zhuang of the University of Hong Kong, along with Eric Fang of Lehigh University and Peijian Song of Nanjing University, set out to fill that gap. The team’s central interest was not just whether the switch helps or hurts sales, but why, and how the effects unfold over time.
A natural experiment hiding in a retailer’s books
The researchers found an unusual opportunity at a large Chinese consumer electronics and home appliance retailer, comparable to Best Buy. The company sold all of its products through both online and physical stores, but it managed inventory in two different ways behind the scenes.
Some products were what the firm called “heavy assets,” meaning the retailer bought the inventory outright and owned it. Others were “light assets,” meaning the manufacturer still owned the goods and the retailer sold them on consignment. This distinction was invisible to shoppers and had been decided years earlier through negotiations, based on accounting and operational factors.
In June 2013, the retailer imposed uniform pricing on all of its heavy-asset products, tagging them with a “same-price guarantee” label. The light-asset products kept their channel-specific pricing because the retailer did not have the contractual authority to unify those prices. This created a clean setup: a treatment group that switched to uniform pricing and a control group that did not, with the split determined by something unrelated to the pricing decision itself.
The team analyzed roughly 2.2 million daily records covering 4,150 products over 18 months. To make the comparison fair, they used a statistical matching technique to pair treated and untreated products that looked similar on measures like average sales, price, popularity, and competition. They then tracked how weekly sales changed after the policy shift, comparing the two groups using a difference-in-differences design, a method that isolates the effect of a change by looking at how one group’s trajectory diverges from a comparable group’s.
A slow start, then a payoff
Over the full period after the switch, uniform pricing was associated with higher sales in both channels, with online sales rising about 1.31% and offline sales rising about 3.56%. But that tidy summary hides a more interesting story underneath.
When the researchers broke the results down quarter by quarter, they found that the switch initially dragged sales down. In the first three months, online sales fell by 5.64% and offline sales dipped by 1.78%. Then the picture reversed. By the fourth quarter, online sales were up 9.20% and offline sales were up 8.00%. The retailer, in other words, went through a rough patch before the benefits arrived.
The authors trace this pattern to two opposing forces pulling in different directions and on different schedules. The first is the loss of price discrimination. Unifying prices forces a retailer to adjust some prices up or down, and any increase in a channel full of price-sensitive shoppers tends to send them looking elsewhere right away. This effect is immediate because a price change is a concrete number customers can see and react to instantly.
The second force is reduced cross-channel search cost. When shoppers can trust that the price is the same everywhere, they stop spending time and effort comparing the retailer’s own channels against each other. The authors argue this benefit is delayed because customers need to experience the consistency firsthand, verify the guarantee, and build trust before they change their habits. Over time, this growing benefit overtook the early sting of price adjustments, flipping the overall effect from negative to positive.
The online channel reacted more strongly in both directions, suffering a larger initial drop and posting a larger eventual gain. The researchers link this to the fact that online shoppers find it easier to compare prices across competitors, making them more sensitive to price changes, while also gaining more from being spared the harder task of checking offline prices in person.
A tale of two customer groups
To understand who was driving these shifts, the team analyzed individual shopping behavior and found the customer base split into two camps. Roughly 77.4% of consumers responded negatively, cutting their purchases by about 12.54%. These tended to be the more price-sensitive shoppers who could no longer exploit price gaps between channels.
The remaining 22.6% responded positively, increasing their purchases by about 39.89%. This smaller group appeared to value the ease and consistency of the experience. When the researchers compared the two groups, the positive responders tended to be longer-tenured, older, higher-membership-level customers who had ordered more before the change. The overall sales lift, then, was powered by a loyal minority spending more, eventually outweighing the pullback from the price-sensitive majority.
What it might mean for retailers
The authors frame their findings as a tradeoff across time rather than a simple yes-or-no verdict. Their short answer for retailers considering the switch is “yes, but” with a warning about patience. A post-hoc analysis suggests a “breakeven” point that arrives faster for retailers with more offline sales. By their estimates, a retailer relying entirely on offline sales might see cumulative gains after about 24 weeks, while one relying entirely on online sales might wait around 43 weeks.
The size of the required price adjustment also matters. The transition tended to go most smoothly when the original gap between online and offline prices was small. Modest price increases under 10% had a manageable effect, while increases above 20% led to sales drops the consistency benefits could not offset within the year studied.
A few caveats deserve attention. The study examined a single retailer in one product category and one country, so the patterns may not transfer everywhere. The authors also caution that they could not measure effects on product returns, inventory, or other operational costs that shape overall profit, and that customers who reduced purchases may have shifted to competitors, bought other products, or simply bought less. As the researchers note, the relative strength of these forces is likely shaped by the broader competitive and technological context, including how easily shoppers can compare prices across rival retailers.
