We've sat on both sides of commercial due diligence — as commercial leaders being evaluated and as advisors doing the evaluation. The experience of being on the receiving end changed how we think about what CDD should actually examine.

Here's what typically happens. A PE firm hires a strategy consultancy to assess a target. The consultancy produces a 60-page deck covering TAM, competitive positioning, customer concentration, and market trends. It's thorough. It's well-formatted. And it answers the wrong question.

The question it answers: Is the market big enough?

The question that actually determines whether the investment thesis holds: Can this commercial organization capture it?

Those are two very different questions. The first one lives in market research. The second one lives in pipeline reviews, CRM data, rep behavior, pricing discipline, channel governance, and the service attach rate nobody's measuring. And the second one is where most post-acquisition surprises come from.

What standard CDD misses

Standard commercial due diligence is good at top-down analysis. Market size. Growth rates. Competitive dynamics. Customer interviews. It gives the investment committee confidence that the market exists and the product is competitive.

What it almost never examines is the commercial operating infrastructure — the systems, processes, and human behaviors that determine whether revenue is actually capturable, predictable, and expandable.

We've seen this gap play out repeatedly. A target has strong product-market fit, loyal customers, and a growing market. The CDD comes back positive. The deal closes. And then the operating partner discovers that the sales team doesn't use the CRM, the forecast is a fiction, 40% of revenue comes from three accounts, the service business is a cost center running on tribal knowledge, and the channel strategy is whatever the most senior rep decided was convenient.

None of that was in the diligence report. Not because the consultancy was lazy, but because they weren't looking for it. They don't know what a pipeline review looks like when it's working versus when it's theater. They haven't sat in the chair where you have to explain to a board why the forecast missed by $800K.

Five things operator-lens CDD examines differently

Revenue quality, not just revenue level. Total revenue is one number. What matters more is how it decomposes. What percentage is recurring versus transactional? What's the service attach rate on the installed base? How concentrated is it — if the top 5 accounts represent 60% of revenue, that's a risk the market analysis won't flag but the post-close reality will expose. What's the gross margin by revenue type, by channel, by product line? Revenue quality tells you how defensible and expandable the topline actually is.

Forecast reliability as a proxy for commercial maturity. Ask for the last 12 months of forecasts versus actuals. If the variance is consistently above 15%, the commercial infrastructure is immature regardless of what the revenue number says. It means leadership can't predict performance, which means they can't manage it. After a close, you're inheriting a commercial function that will surprise you — and not in the good way.

CRM data quality as a leading indicator. Pull the CRM and look at it yourself. Not a summary — the actual data. How many open opportunities have close dates in the past? How many have no next step logged? What percentage of accounts have been touched in the last 90 days? How many custom fields exist versus how many are actually populated? The CRM is the commercial organization's nervous system. If it's unreliable, everything built on top of it — forecasts, territory plans, coverage models — is unreliable too.

Channel dependency and transition risk. A company doing 70% of revenue through manufacturer reps has a different risk profile than one doing 70% direct. Neither is inherently better, but the post-close playbook is completely different. And if the investment thesis assumes a rep-to-direct transition, the diligence needs to assess how realistic that is — how much of the customer relationship lives with the rep versus the company, what the contractual exit terms look like, and whether the target has the internal infrastructure to handle direct coverage. We've watched companies lose 25% of territory revenue during botched rep transitions. It's avoidable, but only if you assess it before close.

The commercial team itself. This is the one most CDD processes skip entirely or handle with a brief interview. The operating partner will spend more time with the sales leader than with almost anyone else in the portfolio company. The diligence should assess: Does this person manage with data or intuition? Do they run a disciplined cadence or react to whatever's urgent? Can they present to a board without the CEO holding their hand? Have they built commercial infrastructure before, or have they only inherited it? The answer to these questions determines the first 100 days post-close more than any market analysis will.

What this means for the investment thesis

The point isn't that standard CDD is useless. It's that it answers the "market attractiveness" question well and the "commercial executability" question poorly. And for PE-backed industrial companies, the second question is usually where the thesis lives or dies.

The revenue growth assumption in most industrial PE models isn't predicated on market expansion. The market is the market — it grows at 3-5% per year for most industrial segments. The thesis is built on commercial improvement: better coverage, higher attach rates, improved pricing discipline, cross-sell into the installed base, channel optimization. Those are execution plays. And execution plays depend entirely on the quality of the commercial infrastructure.

If the diligence doesn't assess that infrastructure — honestly, with operator-level pattern recognition — you're making a capital allocation decision based on half the information you need.

A different approach

What operator-lens commercial due diligence adds to the standard process isn't a replacement. It's a layer. The market analysis still matters. Customer interviews still matter. The financial model still matters.

What gets added is a ground-level assessment of the commercial machine: Can it do what the thesis says it needs to do? Where are the gaps? What does the build look like to close them? How long will it take? What does it cost?

That assessment should take 2-3 weeks and cost a fraction of the standard CDD engagement. And it should be done by someone who's actually managed a P&L, not someone who's analyzed one from a distance. The difference in what gets surfaced is substantial.

We wrote this because we've been in the room when the 100-day plan hit reality and the reality didn't match the diligence. It's fixable — commercial infrastructure is always buildable — but it's cheaper to know what you're buying before you sign.

If you're in diligence on a target right now and the commercial infrastructure question hasn't been examined at this level, that's worth a conversation.