Across roughly 100 commercial assessments over five years, the constraint on growth has most often sat in the same place: the proposition. Markets moved, customer segments and needs changed, and the business did not adapt with them. In most of those cases the management team believed they had a sales problem — and in most of those cases they were about to spend a year fixing it.
The symptom appears in sales because sales is where the number is missed. The cause is usually upstream, in whether the right customers still want what is being sold.
What this is, and what it is not
Before the finding, the honest framing, because it determines how much weight it deserves.
This draws on around 100 commercial assessments run by Altius over five years, mostly in B2B services, technology, and industrials and production. That figure is an estimate rather than a tally. Each assessment applied the same 23-topic framework, which is what makes them comparable at all: the same questions were asked of every business rather than whatever seemed interesting at the time.
It is practitioner observation, not a controlled study. The pattern below is reported as we have seen it, not as a percentage, because we are not going to manufacture a precision we did not measure. Where we say most often, we mean most often.
Two limitations worth stating plainly, because they change how you should read it:
- The sample selects for difficulty. Businesses that commission a commercial diagnostic are disproportionately ones where growth has already stalled or where a buyer is unconvinced. This is not a cross-section of mid-market companies. It is a cross-section of mid-market companies with a question mark over them.
- Sector mix is not neutral. B2B services, technology and industrials behave differently, and the pattern below is an aggregate across all three.
We would rather publish a limited finding accurately than a striking one loosely.
Where the constraint actually sits
Most often in group one of the framework: proposition, pricing and product-market fit.
The specific shape recurs with unusual consistency. The market moved — sometimes slowly, sometimes because a category reset what buyers expect as standard. Customer segments shifted, or the economic buyer moved from one function to another with different priorities and a different budget. What customers needed changed. And the business did not adapt with it, because from the inside there was no obvious moment at which to notice.
That last clause is the whole difficulty. Fit does not fail in a way that announces itself. Existing customers renew, because switching is expensive and the product still does what it always did. The core segment keeps converting, because the sellers who know it keep working it. Revenue grows, a little more slowly each year, and each year’s slowdown has a specific and plausible local explanation.
The signals that would reveal it sit outside the reporting anyone looks at: the ratio of competitive losses to no-decision losses, win rate cut by customer profile over time, the vocabulary prospects use in discovery compared with the vocabulary in the pitch. None of those appear in a board pack.
Why it presents as a sales problem
In most of the cases where the constraint was upstream, management believed the problem was in sales. This is the most consistent secondary finding in the whole set, and it is not a criticism of the teams involved. The misdiagnosis is structurally almost inevitable.
Three reasons it happens:
- Sales is where the number is missed. Whatever the cause, the shortfall appears in one place, on one dashboard, owned by one function. Attention follows the symptom.
- Sales is the most measured function in the business. Pipeline, conversion, attainment, cycle time. When something goes wrong, the function with the most data attracts the most scrutiny, regardless of whether the data contains the answer.
- Proposition has no owner. Pricing sits between finance, product and sales. Fit sits nowhere at all. No function reports on whether the market still wants what the business sells, so no function raises it.
Once the problem is labelled a sales problem, the remedies follow: more sellers, more pipeline, more process, a new CRO. Each is reasonable against an execution problem. Against a fit problem, each one adds cost and depresses productivity per head, producing metrics that look even more like a sales management failure — which attracts more of the same intervention.
The most common finding is not the binding one
Worth separating two things that get conflated. The constraint — the thing actually holding growth back — most often sits in proposition. The most common finding, the problem we observe most frequently across assessments, sits somewhere else entirely: in group five, people, data and cadence.
Specifically, and repeatedly: the wrong people in the wrong roles, without a clear enough definition of what the role is for that they could succeed in it even if they were the right person. Commercial teams assembled by accretion rather than design. Someone hired to run a function that had not been specified, inheriting a remit nobody wrote down, measured against a number whose drivers they do not control.
This shows up almost everywhere. It is not usually the binding constraint, which is why it is listed second here rather than first — fixing role clarity in a business whose proposition has drifted produces a well-organised team selling something the market has moved past. But it is the most widespread single weakness we see, and it has a compounding property that makes it worth attention early: almost every other improvement depends on someone owning it.
The practical consequence is that role and ownership clarity belongs near the front of a plan for reasons of sequence rather than impact. It is rarely the biggest prize. It is frequently the prerequisite for collecting any of the others.
What the misdiagnosis costs
The direct cost is the wasted intervention. The larger cost is time, and in a private equity hold, time is the scarce input.
The sequence we see repeatedly runs about eighteen months. Two quarters of adding capacity and tightening process. Two more establishing that it has not worked. Then a leadership change, which resets the clock and buys the new leader their own grace period. By the time the actual question — do the right customers still want this, at this price, in this package — gets asked, a third of the hold has gone.
And it is genuinely recoverable if caught early. Proposition problems are not fatal; they are correctable through repositioning, repackaging, segment focus or pricing structure. What makes them expensive is not their difficulty. It is that they are usually diagnosed last.
What the plans contain, and how much actually gets done
The workstreams that come out of these assessments cluster tightly. Five recur more than any others: offer design, understanding market segments, prioritisation, pricing, and org build.
That list is worth reading against the finding above, because it is internally consistent in a way we did not engineer. Offer design, segmentation and pricing all sit in group one, which is where the constraint most often is. Org build sits in group five, which is where the most common weakness is. Prioritisation cuts across everything. The plans concentrate almost entirely in the two places the assessments keep pointing to.
Then the uncomfortable part. In the first year after a deal, most businesses complete one or two of them.
Not because the plans are wrong or the teams are weak. Because a commercial team that is already missing its number is simultaneously being asked to rebuild the process by which it misses it, during the most disrupted year in the company’s recent history. Capacity, not analysis, is the binding constraint on execution.
More than one or two workstreams only really lands where there is a project management office, or simply a person whose job is running the plan. Not a sponsor, not a steering committee — someone with the time to chase, sequence and unblock. It is the least glamorous line in any value creation budget and, in our experience, the one that most reliably determines how much of the plan survives contact with year one.
The practical implication for anyone writing a plan is to size it to the capacity that will exist, not the ambition that exists today. A plan of nine workstreams handed to a team with no dedicated resource is a plan for one or two workstreams and seven disappointments. Either fund the coordination or cut the plan to fit.
How to tell the difference
Five tests separate the two, and none requires a research budget. All draw on evidence the business already holds.
| Test | Points to sales execution | Points to proposition |
|---|---|---|
| Variance between sellers | Wide. Strong performers still win consistently. | Narrow. Even the best have stopped winning. |
| Where deals die | Late. Price, procurement, competitive bake-off. | Early. Discovery does not convert to a second meeting. |
| Loss reasons | Named competitors. | No decision, or a workaround the customer already owns. |
| New logos vs the base | Both moving together. | Base holds, new logo acquisition falls away. |
| Customer language | They chose someone who did it better. | They no longer frame the problem the way you describe it. |
The first row is the fastest and the most reliable. If your best salespeople have stopped winning, no amount of sales management will fix it, because the constraint is not something a salesperson can control.
The last row requires talking to people rather than reading data, and it is the most conclusive. When a prospect describes their problem in vocabulary the proposition does not use, the gap is not in how it is being sold.
What this means for underwriting
For anyone pricing a deal, the practical implication is narrow and specific.
Where a growth case assumes better commercial execution — higher win rates, more productivity per head, a bigger team converting at the historic rate — that assumption rests on the proposition still fitting. If it does not, the plan does not underperform slightly. It inverts, because added capacity against a fit problem makes the numbers worse rather than flat.
Neither a quality of earnings analysis nor a market-facing commercial due diligence tests this. A QoE confirms the historic revenue was real. A CDD confirms the market is attractive and the company is regarded within it. Both can be entirely correct while the specific question — do the right customers still want this, at this price, in this package — goes unasked.
It is a cheap question to answer. Closed-lost records, win rate by segment over time, and a handful of conversations with customers and prospects will settle it inside two weeks. It is simply not on most diligence lists, which is the reason we keep finding it.
Frequently asked questions
What is the most common cause of stalled growth?
In our work across roughly 100 commercial assessments, the constraint has most often sat in the proposition: the market, customer segments or customer needs changed, and the business did not adapt with them. It presents as a sales problem because that is where the number is missed.
Why do management teams usually think it is a sales problem?
Because the shortfall appears in sales, sales is the most heavily measured function so it attracts the most scrutiny, and no function owns the question of whether the market still wants what is being sold. The misdiagnosis is structural rather than careless.
How can you tell a proposition problem from a sales problem?
The fastest test is variance between sellers. If the strongest performers are still winning consistently, it is execution. If even the best have stopped winning, the cause is upstream. Early-stage no-decision losses point the same way.
What is the single most common weakness you find?
The wrong people in the wrong roles, without a clear enough definition of what the role is for. It is not usually the binding constraint on growth, but it is the most widespread finding, and it matters early because almost every other improvement depends on someone owning it.
How many workstreams does a business actually complete in year one?
In our experience, usually one or two. More than that tends to require a project management office, or at least one person whose job is running the plan rather than sponsoring it. Capacity rather than analysis is what limits execution in the year after a deal.
Is this based on a formal study?
No. It is practitioner observation across approximately 100 assessments run on the same 23-topic framework over five years, in B2B services, technology and industrials. It is reported qualitatively rather than as percentages, and the sample selects for businesses where growth was already in question.
How long does it take to test the proposition?
Two to four weeks, using evidence the business already holds: closed-lost records, win rate by segment over time, discovery notes, and a small number of customer and prospect conversations.
Ready to aim higher?
If growth has slowed and the working diagnosis is a sales problem, that assumption is worth testing before you spend a year and a headcount budget on it.