Price differences across channels:
consistency, not uniformity

Photo of Ludovic Shum

Ludovic Shum

Sales Director

September 3, 2026

A price discrepancy between a marketplace, a brand’s own website, and a physical store is not automatically a mistake: price consistency does not require uniformity. It becomes a problem only when no one can explain why it exists.

There are four factors that make a price difference legitimate: channel positioning, competitive intensity, local demand, and cost structure. Everything else must be managed, not simply accepted.

Marketplaces, e-commerce sites, and brick-and-mortar stores: the proliferation of sales channels complicates price management, and customers can compare offers across channels with just a few clicks. When a discrepancy is detected, the most common reflex is to treat it as an anomaly that needs to be corrected immediately. This is a misdiagnosis: a price discrepancy between channels is neither automatically a mistake nor automatically a strategy—it is a decision that must be made, documented, and owned.

Three storefronts linked by a single pricing structure, symbolizing price consistency across channels

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Just ten years ago, comparing the price of the same product across a marketplace, an e-commerce site, and a brick-and-mortar store required real effort: traveling to different locations, making phone calls, and opening multiple tabs. That effort involved in comparing prices has all but disappeared. Today, a customer can compare three offers in a matter of seconds on their phone—often right there in the store—and they focus on the price difference, not the reasoning behind it.

This transparency is not a marginal phenomenon: it has become the default purchasing behavior, even for purchases that are still made in-store.

85%

This is the percentage of French people who say they use online tools to compare prices before making a purchase, even when the final purchase is made at a physical store (Fevad, Key E-commerce Figures 2025).

For the retailer, the consequence is clear: a price discrepancy across channels is no longer confidential information confined to a single channel. It becomes visible, comparable, and potentially a source of confusion or mistrust if no one can explain the reasoning behind it—with a direct impact on the retailer’s perceived value. This is what drives many pricing teams to instinctively want to align all channels at a single, uniform price. This is a flaw in reasoning, which is discussed in the following section.

Confusion between these two concepts is at the root of most poorly calibrated multichannel pricing policies. Uniformity requires a strictly identical price across all channels, regardless of the context. Pricing consistency, on the other hand, allows for variations, as long as they remain aligned with the brand’s positioning, its level of competition by channel, and its profitability goals.

In practical terms: a higher price on a brand’s own e-commerce site than on a third-party marketplace is not, in and of itself, an inconsistency if this difference reflects the actual cost of the channel (logistics, customer service, commission charged by the platform) and remains within a tolerance range accepted by the brand. What does constitute an inconsistency, however, is a price difference that varies erratically from week to week, from one team to another, or from one product to another without any identifiable logic.

The question to ask, therefore, is never “Are our prices the same everywhere?” but rather “Do our price differences, where they exist, reflect a decision that we could explain to a customer who asked us directly?” Effective pricing in the full sense of the term does not aim for uniformity: it aims for consistency—that is, prices that remain aligned with the brand’s positioning, price image, competitive intensity, and profitability, channel by channel.

A price difference is justified when it is based on one of these four principles—rarely just one at a time, but more often a combination specific to each product category.

Positioning

The Intended Role of the Channel

A marketplace can be positioned as a sales channel or a customer acquisition channel, with a margin policy that differs from that of the brand’s own website, which serves as its showcase.

Level of Competition

The pressure specific to the channel

An online marketplace displays prices from dozens of sellers on a single screen: the pressure to compare prices isn't the same there as it is in a physical store.

Local demand

The catchment area

A brick-and-mortar store faces competition from nearby businesses specific to its area: the relevant price depends on the local context, not solely on the national market.

Cost Structure

The Actual Cost of the Canal

Marketplace commissions, e-commerce logistics, rent, and in-store staff: each channel has a different cost structure, which can account for a discrepancy.

These four reasons have one thing in common: they can be substantiated. A pricing team that can explain, category by category, why a discrepancy exists has nothing to fear from a customer who notices it. It is the lack of an explanation—not the discrepancy itself—that erodes trust.

One might think that price differentiation between online and physical channels has become the norm, driven by the logistics costs specific to each channel. Academic research suggests the opposite: the majority of large multichannel retailers deliberately choose to maintain near-uniform pricing, precisely to preserve a price image that is perceived as reliable.

2/12

Of the 12 major multichannel retailers studied, only two practiced structured price differentiation between online and in-store prices for their best-selling categories; the majority deliberately maintain consistent pricing (Kiczmachowska, de Pourbaix & Jemielniak, MINIB, 2023).

This result does not mean that price differentiation should be ruled out: the four reasons mentioned above remain entirely valid. It does, however, show that most retailers who have tested price differentiation on a large scale for their best-selling items have either abandoned the practice or never rolled it out across the board: the perceived risk to their price image carries more weight in their decision-making than the hoped-for margin gain. Poorly calibrated price differentiation therefore potentially costs more in terms of customer trust than it yields in margin gains, hence the importance of managing it methodically rather than letting it take hold by default due to a lack of a consolidated view of what is actually happening channel by channel.

The danger almost never comes from a deliberate deviation. It comes from the deviation that creeps in through the accumulation of local decisions made independently of one another: a marketplace team that adjusts a price to remain competitive against a third-party seller, an e-commerce team that launches a flash sale without informing the store, a regional management team that adjusts a price to match local competition without reporting the information to headquarters. Each of these decisions, taken in isolation, is perfectly rational. Taken together, however, they create a discrepancy that no one has addressed at the corporate level—and that no one can explain if a customer or a journalist notices it.

That is where the real dividing line lies—not between “identical prices” and “different prices,” but between a managed price discrepancy—one that follows a documented rule and has an identified owner—and an unmanaged price discrepancy—the result of a series of local decisions made without a big-picture view. The former protects the price image even when it creates a visible difference. The latter damages it, even when the observed discrepancy is minimal. The same principle of governance applies more broadly to any exception or deviation from a pricing policy: it is never the discrepancy itself that poses a problem, but rather the absence of a rule to govern it.

Each channel has a different interpretation of what constitutes a legitimate discrepancy and what, on the other hand, should trigger a verification.

ChannelA legitimate difference if…Warning Signal
Third-party marketplaceIt reflects the commission charged by the platform and the presence of third-party sellers not controlled by the retailerAutomatic alignment with a competitor whose positioning is not comparable
Proprietary e-commerce siteIt refers to a time-limited digital campaign or to the logistics costs specific to that channelAn operation that was supposed to be temporary but remains active beyond its scheduled time frame
Brick-and-mortar storeIt addresses the actual local competition within the store's catchment areaA discrepancy that varies from store to store without a documented regional justification

To be clear: the middle column does not exempt you from documenting the decision. It merely defines the nature of the criterion to be verified before concluding that an observed deviation is acceptable, channel by channel.

Distinguishing between legitimate price differences and unfair price discrepancies requires seeing, all in one place, what is actually happening on each channel—both your own and those of your competitors. A system that monitors only online prices provides an incomplete picture: it does not show actual in-store availability, nor does it reveal prices displayed in stores that differ from those listed on the same competitor’s website.

At Booper

Pricing Optimization Software : A consolidated view, channel by channel

The module Pricing Optimization Software combines automated online price collection (large-scale web scraping, product reference matching via GENIUS Link) with in-store surveys conducted by a network of field investigators, who alone can objectively verify what a website never shows: the actual price displayed on the shelf, availability, and local merchandising. GENIUS Monitoring then centralizes the detected discrepancies, channel by channel, so that each discrepancy can be classified before being addressed: intended price difference or price difference requiring correction. It is this consolidated view that now enables one of our clients in the food sector—a network of more than 1,700 retail locations—to manage several million prices per year while simultaneously meeting its goals for margin, competitiveness, and price image consistency, channel by channel, without resorting to forced uniformity.

  • Aim for uniformity by default, since the question of the appropriate level of consistency expected for each channel has not been addressed.
  • Let each channel make its own decisions, without a cross-functional manager to resolve discrepancies at the brand level.
  • Monitoring only online prices while ignoring what's actually happening in stores, due to a lack of on-site data.
  • Allowing an operation that is supposed to be temporary (a marketplace or a standalone website) to run beyond its intended timeframe without oversight.
  • Treat every detected discrepancy with the same sense of urgency, without distinguishing between a minor discrepancy and one that truly threatens the brand's image.

A Checklist to Consider Before Assessing Price Differences Across Channels

  • Does the gap correspond to one of the four legitimate reasons (positioning, competitive intensity, local demand, cost structure)?
  • Is this discrepancy documented and explainable, or was it simply noted after the fact?
  • Is there a designated owner, separate from the operational managers of each channel?
  • Does your pricing strategy cover all channels, including in-store, not just online?
  • Would this discrepancy still be justifiable if a customer pointed it out to you directly?

A price discrepancy across channels is therefore never, in and of itself, a sign of a flawed pricing strategy. What is a sign of a flawed strategy is the lack of a clear answer to the question: Why does this discrepancy exist, and who decided on it? Find out how Booper structures this consolidated view—from data collection to decision-making—on our page Pricing Optimization Software.

Over a short period of time and during periods of very heavy traffic, this trend becomes strikingly apparent: our guide to pricing for the 2026 back-to-school season details a 69.5% price difference between supermarkets and specialty stores—even for a shopping basket that is exactly the same.

No, not necessarily. Pricing consistency does not mean uniformity: a price difference between a marketplace, a company’s own website, and a physical store can be perfectly legitimate if it reflects the channel’s positioning, the level of competition, or local demand. The problem arises when the price difference is not the result of any deliberate decision.

Uniformity requires the same price everywhere, regardless of context. Price consistency, on the other hand, allows for variations as long as they remain aligned with the brand’s positioning and profitability goals, and are documented as a deliberate choice rather than something imposed.

Less than one might think. A 2023 study of 12 major multichannel retailers showed that only two of them practiced structured price differentiation between online and in-store prices for their best-selling categories; the majority deliberately keep prices consistent to protect their price image.

A discrepancy becomes a risk when it is neither explained nor managed: a customer who notices it without understanding the reasoning behind it will perceive it as inconsistent, or even unreliable. A discrepancy that is documented and consistent with the brand positioning, on the other hand, does not undermine trust.

A designated owner of the multichannel pricing policy—distinct from the operational managers of each channel—who makes decisions based on the brand’s overall positioning rather than solely on a channel’s local objectives.

By combining large-scale automated online price collection with occasional in-store surveys conducted by a network of field investigators—who alone can objectively assess what a website does not show: actual availability, product placement, and prices displayed on the shelves.

Sources: Fevad (Federation of E-commerce and Distance Selling), Key E-commerce Figures 2025 (fevad.com) · Kiczmachowska, E., de Pourbaix, P., & Jemielniak, D., “Price Differentiation in Online and Offline Retail: An Empirical Study of Current Practices,” Marketing of Scientific and Research Organizations (MINIB), No. 2, 2023 (minib.pl)

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