"We're not selling because we're too expensive": what if the problem lies elsewhere?
Fabrice Decroo
Consulting Director
September 19, 2026
When sales stagnate, price is often the first thing to take the blame—it’s the simplest explanation and the one least likely to be questioned. The real problem often lies elsewhere: value that hasn’t been communicated effectively to the customer, or outdated or mismatched competitive data. Diagnosing the problem before lowering the price prevents you from sacrificing profit margins without solving the actual issue.
Price then becomes a convenient scapegoat. This guide shows that, in a significant number of cases, the real problem lies elsewhere: in the way value is communicated, or in the quality of the data used to set the price in the first place.

Price: A Convenient Scapegoat
When a sale falls through, price provides an immediate, socially accepted explanation that doesn’t call into question the sales pitch, the product description, or the data used to position the product in the market. “We’re too expensive” shuts down the discussion rather than opening it up.
This explanation isn't always wrong—a price can indeed be out of line with the market. But it's invoked far more often than it holds true. A salesperson who loses a sale rarely reports, “The customer didn’t understand what set us apart” or “Our competitive benchmarking was outdated”: these explanations require a level of self-reflection that’s harder to face than simply admitting the price was too high.
This mechanism is directly linked to the one already identified in the article on collective governance in this issue: a decision—in this case, a diagnosis—made from a single perspective, that of sales, almost always fails to capture the full picture.
This reflex is all the more tempting because, on the surface, it exonerates everyone at once: the sales rep doesn’t have to question their sales pitch, the marketing team doesn’t have to revise its messaging, and management gets a simple explanation to pass on up the chain of command. The scapegoat works precisely because it satisfies everyone in the short term—at the cost of a corrective measure that misses the mark.
The #1 Real Problem: Miscommunicated Value
A price is never judged in absolute terms. It is always judged relative to what the customer expects to get in return. When that value isn't clearly explained, the price automatically seems higher than it actually is—even if it hasn't changed by a single cent.
Many French people say they are willing to pay more for better quality—even though price remains a “fundamental” criterion for more than 70% of them. Value for money is the deciding factor in purchasing decisions for 56% of online shoppers and 59% of in-store shoppers (OpinionWay for Bonial, “The French and Consumer Behavior,” June 13, 2025, more than 10,000 respondents).
These figures paint a consistent picture: price matters, but it is almost never the sole factor in a decision—and it is consistently evaluated in light of perceived quality. A customer who finds a price “too high” is often saying—without putting it that way—that they didn’t perceive enough value to justify that price—not necessarily that the price itself is out of line with the market.
This distinction changes everything in terms of action: lowering a price doesn't solve anything if the real problem is that the value was never made visible in the first place.
Communicating value isn’t limited to a better-written sales pitch. It also involves the product description, featured customer reviews, and the clarity of a warranty or related service—everything that, even before a customer speaks with a sales representative, shapes their perception of what the price actually includes. A company that invests in its price without investing in the visibility of its value is only doing half the job.
The Real Problem No. 2: Poor-Quality Data
The second suspect—less frequently identified than the first—lies hidden within the data itself. A price deemed “too high” may simply be based on a flawed comparison: a competitor’s price that was incorrectly recorded, an outdated product benchmark, or two items mistakenly treated as equivalent when they are not.
This is the estimated average annual cost of poor data quality for an organization, across all industries—a figure that directly includes pricing decisions made based on inaccurate comparisons (Gartner, Magic Quadrant for Data Quality Solutions survey, 2020, 154 reference customers surveyed).
In retail pricing specifically, this risk takes on a very concrete form: an incorrect comparison between two products—competitive matching—can lead one to believe that a price is out of line with the market when it is not, simply because the benchmark used for the comparison was incorrect. The observed symptom (stagnant sales, a price deemed too high) is the same in both cases; the cause, and therefore the solution, are, however, radically different.
Distinguishing a genuine pricing issue from a problem elsewhere
| Observed signal | If that's really the price | If the problem lies elsewhere |
|---|---|---|
| Competitive gap | Verified using truly comparable benchmarks, with up-to-date data | Comparison skewed by an inaccurate product comparison or outdated data |
| Customer Feedback | The customer explicitly compares the product to an identified and verifiable competitor | The client never mentions the added value; it was not addressed in the presentation |
| Volume by Segment | The decline is affecting all customer segments equally | The decline is concentrated in the segments that are least familiar with the product |
To put it this way: a true assessment takes multiple indicators into account before reaching a conclusion—never a single isolated piece of feedback from the field. This is precisely what testing a price—a topic covered elsewhere in this report—allows us to verify objectively, rather than simply assuming it.
It really makes a difference to do your research before lowering the price
Lowering a price without first diagnosing the problem is like treating a symptom without knowing the underlying cause. If the real problem is communicating value, lowering the price doesn’t fix anything—it sacrifices profit margin while leaving the real problem intact, ready to resurface with the next product. If the real problem is skewed data, the price cut may even exacerbate an already poorly calibrated price-perception imbalance.
Conversely, a diagnosis that identifies the true cause opens the door to solutions that are less costly than lowering prices: strengthening the value proposition, correcting an erroneous product positioning, and updating a competitive benchmark. These corrective measures preserve margins while addressing the root cause rather than the symptom.
There is also an organizational benefit to this analysis, beyond the individual case being addressed. A company that makes a habit of verifying facts before reaching a conclusion builds, decision by decision, a culture in which price cuts are no longer the default response to poor performance—which ties directly into the concept of collective governance discussed elsewhere in this issue.
Pricing Optimization Software : Diagnose before adjusting
The Pricing Optimization Software cross-references margin, competitive positioning, and benchmark performance to distinguish a genuine price discrepancy from an issue elsewhere in the decision-making chain. When paired with GENIUS Link—whose matching capabilities rely on NLP for product description recognition—it ensures the reliability of competitive comparisons before they are mistakenly used as a justification for price cuts.
The goal is never to rule out price as a possible cause—it’s to verify it before taking action. Check out the platform on our Booper page atPricing Optimization Software .
The Mistakes That Keep the Scapegoat Alive
- Accept only one piece of feedback from the field as evidence. A sales representative who says, “We’re too expensive,” is reporting a perception, not necessarily a diagnosis based on verifiable, comparable data.
- Never check the comparison data. An outdated competitive benchmark can create a price gap that does not actually exist.
- Lowering prices as a default response. It's often the quickest solution to implement, but rarely the least costly in the long run if it addresses the wrong problem.
- Never follow up with sales after a diagnosis. If the real problem is communicating value, the sales teams need to be equipped accordingly—not just told that “it’s not about the price.”
This rigorous analysis aligns with the reasoning already set forth in the flagship article of this special report: a price that is taken seriously is guided by data, not by the first explanation that comes to mind.
A Checklist Before Quoting a Price
- Was the competitive gap verified using truly comparable products?
- Is the comparison data up to date, or could it be outdated?
- Does the sales pitch clearly explain the value before mentioning the price?
- Does the decline in volume affect all segments, or just some of them?
- Was a less costly solution than a price reduction considered before resorting to it?
Want to identify your real pricing issue?
Spend 30 minutes with our team to distinguish—using data—between a genuine price discrepancy and a communication or data issue.
FAQ
Because it’s the simplest explanation to give and the hardest to challenge head-on—a salesperson who says, “We’re too expensive,” ends the discussion, whereas an issue with communicating value or data quality requires a more in-depth investigation.
By cross-checking several indicators before drawing a conclusion: Is the price truly out of line with the market for comparable products, or is it merely perceived as such because its value hasn’t been clearly explained? Is the data used to compare prices reliable and up-to-date?
It’s the ability to explain—even before discussing price—what the customer gets in return: quality, service, reliability, and a warranty. An OpinionWay study shows that the majority of French consumers say they are willing to pay more for perceived higher quality.
Poor-quality data—such as an inaccurately recorded competitor’s price or an outdated product reference—can lead one to believe that a price is out of line with the market when it is not. The observed symptom is the same, but the cause and the solution are radically different.
No. Lowering a price without first identifying the real cause of the stagnation is like treating a symptom without knowing the underlying condition—it sacrifices profit margins without any guarantee that the problem will be solved.
Booper's " Pricing Optimization Software " module analyzes margin, competitive positioning, and benchmark performance to distinguish a genuine price discrepancy from an issue elsewhere in the decision-making process, before a price adjustment is implemented based on unverified intuition.
Also in this series
- Why Do So Few Companies Actually Manage Their Prices?
- Testing Your Prices Without Losing Customers: The Method
- Pricing: Why Pricing Decisions Should Never Be Left to a Single Person
Sources: OpinionWay for Bonial, “The French and Consumer Spending,” press release dated June 13, 2025 · Gartner, “Magic Quadrant for Data Quality Solutions,” 2020

Building a high-performing pricing team requires adopting a hybrid model that combines central strategy with local agility. This transition replaces intuition with data-driven decisions, orchestrated by expert roles and strict governance.
This proactive management directly transforms financial performance, targeting profitability increases of 100 to 500 basis points.

Key takeaways: building a high-performing pricing team requires adopting a hybrid model that combines central strategy with local agility. This transition replaces intuition with data-driven decisions, orchestrated by expert roles and strict governance. This proactive management directly transforms financial performance, targeting a profitability increase between 100 and 500 basis points.

Key takeaways: building a high-performing pricing team requires adopting a hybrid model that combines central strategy with local agility. This transition replaces intuition with data-driven decisions, orchestrated by expert roles and strict governance.
This proactive management directly transforms financial performance, targeting profitability increases of 100 to 500 basis points.
