Private Equity
How PE operating partners can identify revenue growth constraints in a portfolio company
10 mins read
KEY TAKEAWAYS
Start with the four drivers behind revenue (opportunities, deal value, win rate and cycle length), not the revenue line.
The symptom rarely sits where the constraint does. A sales problem often starts outside sales.
In week one, ask for the data that exists, not the data that should exist. A missing dataset is a finding in itself.
Compare what leadership and frontline teams tell you. The gap between them is usually where the constraint hides.
Quantify what fixing each constraint is worth before you choose a fix, then focus on the few that matter.
PE operating partners can identify revenue growth constraints by working in a fixed order. Rebuild the baseline from the four drivers behind revenue, find which driver moved, then test across the whole commercial system for the cause. Confirm the constraint with evidence from more than one function, and quantify what fixing it is worth before choosing a fix.
That order matters because the symptom a board sees is rarely where the constraint sits. Below is the method in detail: the data to request in week one, a table of common symptoms and where they usually lead, and the mistakes that send operating partners after the wrong problem.
What a revenue growth constraint is, and why it is hard to see from the board
A revenue growth constraint is the one factor holding the number down. It might be weak qualification, the wrong segments, a pricing problem, a renewal process nobody owns or a sales leadership gap. Fixing anything else first keeps people busy without moving the number.
It's hard to see from the board because revenue is a lagging indicator. Board packs report what has already happened, usually as totals. By the time revenue misses, the cause happened months earlier, often somewhere the board pack doesn't look.
Why the symptom is almost never where the constraint sits
In Merlin5 Presents episode 1, Martin Hess and Nigel Kirkham discussed two businesses that show the problem. One was a global business losing three and five-year contracts at term end, and nobody inside could say why. The other was an advisory firm full of strong experts that could not expand a single client relationship.
Both looked like sales problems. Neither was caused by the sales team alone. A sales problem frequently starts outside sales: in how the product is delivered, how accounts are managed, how pricing is set or how leadership sets priorities. Most leadership teams will recognise three or four likely causes. The work is establishing which one is actually holding the number down.
Why the cost of a wrong diagnosis has gone up
Operating partners have less room for error than they used to. Bain's 2026 Global Private Equity Report found that typical deals now need around 10% to 12% average annual EBITDA growth to deliver a 2.5 times return over five years, against about 5% in the 2010s. Buyout holding periods at exit are now around seven years.
Plans are also hard to deliver. Alvarez & Marsal's 2025 European value creation survey of 200 PE executives and portfolio managers found that most recent programmes remain far from fully realised. Its 2026 North American report found that 41% of respondents had realised less than 75% of their planned value creation over the previous 12 months.
A quarter spent fixing the wrong constraint is time the plan doesn't get back, and with higher growth targets and longer holds there is less of it to spare.
Step 1: Rebuild the baseline with the four sales velocity drivers
Start with the drivers behind revenue rather than the revenue line itself. Sales velocity combines four of them:
Opportunities × average deal value × win rate ÷ sales cycle length
Rebuild each driver for the last 24 to 36 months, by segment, and look for which one moved. A business whose revenue has stalled because win rate fell needs a very different response from one where the pipeline dried up or deals started taking twice as long.
Agree the definitions before you analyse anything. Who owns each dataset, which fields count, how duplicates are handled and whether sales, marketing and finance are working from one dataset. If they aren't, that is your first finding. Our sales velocity formula guide explains how to define each input and build the calculation from a CRM export, and Sales Velocity Analysis™ does it for you.
Step 2: What to request in week one
Ask for what exists, not what should exist. A missing dataset is a finding in itself. Cover 24 to 36 months so trends and cohorts show.
Finance
Monthly revenue by customer, product or service line and segment, split into new, expansion, contraction and churn.
The revenue assumptions in the investment case and value creation plan, against actuals to date.
Forecast against actual for the last six quarters.
Price realisation, discounts by deal and gross margin by product or segment.
Sales and CRM
A full opportunity export for 24 months, won and lost, with created date, stage history, value, source, owner, segment and any close date changes.
The open pipeline with the date of last activity.
Written stage definitions and exit criteria, if any exist.
Recorded win and loss reasons.
Quota and attainment by seller for eight quarters, with headcount, tenure and ramp time.
Current sales compensation plans.
Marketing
Lead and opportunity volumes by source, with the definitions in use.
The documented ideal customer profile and target segments.
Customers and accounts
The renewal schedule for the next 12 to 18 months.
Retention by cohort, and the revenue trend for the top 20 accounts.
Account plans for key accounts, and any customer feedback.
Leadership and governance
The last three board packs and the current value creation plan.
The commercial organisation chart.
One question for each executive, asked separately: what is limiting growth?
Step 3: Read each symptom against its likely constraint
Use the table below to turn what you see into a hypothesis you can test. Treat each row as a starting point to test. The evidence column is what confirms or rules it out.
What you see | Where the constraint often sits | Evidence that confirms or rules it out | The tempting wrong fix |
|---|---|---|---|
Pipeline coverage looks healthy but the quarter still misses | Qualification and stage criteria; data quality | Age of open deals by stage; deals with no recent activity; close dates pushed more than once | Demand more pipeline |
Win rate is falling | Wrong-fit opportunities, or value not made clear to senior buyers | Win rate by segment, source, deal size and seller; the stage where deals are lost; conversations with lost buyers | Generic sales training |
Deals take longer to close | Decision process not mapped; senior stakeholders reached late; buyers researching alone | Time in each stage for won and lost deals; when a senior buyer was first met; stakeholders engaged per deal | Quarter-end discounts to pull deals in |
The board no longer trusts the forecast | Stages, forecast categories and revenue definitions not agreed | Forecast against actual by category; whether sales and finance report the same number; written exit criteria | A new forecasting tool |
Renewals lost at term end, and nobody can say why | Value delivered to the customer; account management | Retention by cohort, product and owner; renewal pipeline 12 months out; conversations with lost and retained customers | Retention discounts |
Strong experts and a good reputation, but key accounts stay flat | Expansion planning; the commercial conversation isn't happening | Three-year revenue trend for the top 20 accounts; services bought per account; whether account plans exist and are used | Hire more new business sellers |
Discounts creeping up and margin eroding | Value articulation; pricing and segment fit | Discount spread by seller, segment and quarter end; approval trail; price realisation against list | A blanket price rise |
Results vary widely between sellers or teams | Manager coaching and ramp; no common process; territory design | Attainment spread; ramp time of recent hires; stage conversion by team | Replace the bottom performers |
How buyers behave now makes some of these rows more common. Gartner's 2026 survey of 646 B2B buyers found that 67% would prefer a buying experience without a sales rep. When buyers research alone for longer, a lengthening cycle can reflect how buyers buy, not how hard the team sells.
Step 4: Test across functions, and look for the gap between leadership and the front line
If only one function's data points to a constraint, treat it as a hypothesis. When finance, sales, marketing and customer data agree, you have a diagnosis. Test the strongest hypotheses across the whole commercial system: strategy and alignment, how the business puts the customer first, go-to-market, the way the team sells, data and insight, and talent, leadership and enablement.
Pay close attention to where the answers split. Leadership teams often see one reality while frontline teams experience another. The gap between the two is usually where the constraint is hiding. Ask the same questions of both groups and compare the answers.
This is how our Growth Assessor™ works. It combines leadership interviews with a cross-functional workshop of around 80 questions, takes two hours of the team's time and reaches recommendations in three weeks at most.
Step 5: Quantify and rank before you prescribe
Once the constraint is confirmed, put a value on fixing it. Model each possible fix against the velocity baseline from Step 1, so the board can compare a two-point gain in win rate with a 15-day cut in cycle length on the same footing. Note which fixes only work together, such as a new sales process and the CRM changes that enforce it.
Then focus on the few actions that create the greatest impact. The sequence is what is happening, then why, then what to change. Most organisations skip straight to the change.
As Mark Ingleby, CRO of Littlefish, put it about working with Merlin5: "Their approach quickly identified the areas limiting growth."
Five mistakes that send operating partners after the wrong constraint
Replacing the sales leader first. Sometimes right, often a symptom. If the constraint sits in segments, pricing or delivery, the next leader inherits it.
Buying a tool. A forecasting or AI tool can't fix stages nobody has defined or data nobody owns.
Adding headcount. More sellers into a broken process produce more of the same results, at a higher cost.
Buying more leads. If conversion is the constraint, more leads lower the win rate and lengthen the cycle.
Trusting pipeline totals or a single narrative. Totals hide stale deals, and one executive's explanation is a hypothesis until the data agrees.
When to bring in outside help, and what good looks like
Bring in outside help when the internal view is split, the data is unreliable or the board needs an independent answer quickly. Options include the fund's own operating team, strategy consultancies, go-to-market specialists and interim or fractional commercial leaders.
Whoever you choose, look for four things:
People who have carried a number and run sales organisations themselves.
Evidence from across the business, beyond the sales team.
An answer within weeks.
A diagnosis kept separate from the delivery contract, so the recommendation isn't shaped by what the adviser sells next.
Marc Serra, Chief Strategy and Transformation Officer at BPP, described the outcome he wanted as "Diagnosis to action, without a lengthy programme." That is a good test for any partner. Find out more about how we work with private equity firms.
Frequently asked questions
What does an operating partner do in private equity?
An operating partner works with portfolio companies to deliver the value creation plan, usually bringing operating experience from running businesses. Revenue growth is now a large part of the role, because funds rely less on leverage and multiple expansion for returns.
How long does it take to find a revenue growth constraint?
If the data is accessible, a first evidence-based view takes weeks, not months. The Growth Assessor™ reaches recommendations in three weeks at most, with two hours of the team's time in a workshop.
How is a post-deal commercial diagnostic different from commercial due diligence?
Commercial due diligence tests the growth thesis before the deal. A post-deal diagnostic finds what is limiting delivery of the plan after it. The questions overlap, but the diagnostic has full access to the data and the people, so it can go further.
Can you diagnose revenue constraints without undermining the CEO?
Yes, if it's run as a shared, evidence-based exercise rather than an audit. Agree the questions with the CEO, involve the leadership team in the workshop and present findings as evidence, not judgement.
Who helps PE portfolio companies improve go-to-market execution?
The fund's operating team, strategy consultancies, go-to-market specialists and interim or fractional commercial leaders all do this work. Look for people who have run sales organisations, who use evidence from across the business and who keep the diagnosis separate from what they sell next.
Sources
Bain & Company, Global Private Equity Report 2026, press release, 23 February 2026. https://www.bain.com/about/media-center/press-releases/2026/private-equity-resurgence-gathers-steam-as-new-era-challenges-firms-to-enhance-value-creationbain--company-global-pe-report/
Alvarez & Marsal, Private Equity Value Creation Report Europe 2025, 20 May 2025. https://www.alvarezandmarsal.com/insights/private-equity-value-creation-report-europe-2025
Alvarez & Marsal, North America Value Creation Report 2026, press release, 28 May 2026. https://www.alvarezandmarsal.com/press-release/alvarez-marsal-north-america-value-creation-report-2026
Gartner, sales survey of 646 B2B buyers, press release, 9 March 2026. https://www.gartner.com/en/newsroom/press-releases/2026-03-09-gartner-sales-survey-finds-67-percent-of-b2b-buyers-prefer-a-rep-free-experience
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WRITTEN BY
Chris Thomas