Sharpening Commercial Due Diligence Decisions

The most common belief about commercial due diligence is that a good CDD report tells you whether the target's growth is real and sustainable. That's true, but it's the wrong question to lead with.

The better question is: what commercial interventions will create the most value during the hold period, and are any of them visible before you close? Most CDD processes never get there. They spend three weeks validating the top-line growth story and two days on the commercial mechanics that determine whether the growth will accelerate or stall after acquisition.

The True Bill

A private equity (PE) fund that closes on a $85M annual recurring revenue (ARR) software business without a full price waterfall analysis is making an underwriting assumption it can't quantify. If the average realized price is 28% below list and the fund doesn't know that, it's missing a commercial improvement opportunity worth $4-6M in annual earnings before interest, taxes, depreciation and amortization (EBITDA), or $40-60M in enterprise value at a 10x multiple.

A fund that closes without decomposing net revenue retention (NRR) by acquisition channel and customer cohort is exposed to a churn risk it can't price. A 98% headline NRR that's actually 91% cohort NRR for customers acquired in the last two years, propped up by expansions from a three-year-old enterprise cohort, looks very different on exit. By the time that deterioration shows up in the reported NRR, you're 18 months into a four-year hold.

These aren't exotic risks. They're the norm in mid-market software acquisitions. The difference between funds that consistently outperform on commercial value creation and funds that don't is the quality of the commercial diagnostic work done before closing.

Execution

Three things your CDD process should produce that most don't.

Step 1: Build the pocket price waterfall during diligence. This requires access to executed contracts from the last two years. Not all sellers provide this in the standard data room. Push for it. The waterfall analysis will tell you the true average realized price by segment, the distribution of discount depth, and which deal types carry the most margin erosion. That data directly informs your value creation plan.

Step 2: Decompose NRR into gross retention, expansion, and contraction by cohort year and by acquisition channel. A headline NRR number is not enough. You need to see the NRR for customers acquired in year one versus year three. You need to see whether customers from outbound sales retain differently from inbound. These patterns predict whether the NRR will improve or deteriorate post-close based on the current go-to-market (GTM) motion.

Step 3: Assess sales capability distribution before you hire. In most acquisitions, the acquirer plans a VP of Sales assessment in the first 90 days. That's too late. A pre-close analysis of rep performance distribution, win rate by segment, and manager coaching quality gives you hiring and restructuring decisions you can execute in week one rather than week twelve.

Where It Unravels

A growth equity investor closed on a payroll technology company at $58M ARR with a 109% headline NRR and strong top-line momentum. The CDD report validated the market opportunity and noted the NRR as a positive signal. No further decomposition was performed.

Six months post-close, the NRR began deteriorating. A post-close audit revealed that the 109% NRR was built on a single large expansion deal from one enterprise customer that had since plateaued. The underlying cohort NRR, excluding that expansion, was 97%. New customers acquired in the most recent two cohort years were running at 91% NRR.

Before: $58M ARR, 109% reported NRR, single expansion propping up the metric, underlying cohort NRR at 91% for recent vintages. CDD report validated headline growth, no waterfall or cohort analysis performed.

After (what a deeper CDD would have shown): The value creation plan would have prioritized building an expansion motion for recent cohorts before close, rather than discovering the problem in month six when the metric had already started to move.

Move This Week

If you have a software acquisition in process, add three data requests to your diligence checklist: executed contracts for the last 24 months (for the waterfall), NRR broken down by cohort year and acquisition channel, and rep-level bookings and win rate distribution for the last eight quarters.

Assess Your Commercial Health to build a pre- or post-close commercial diagnostic for your current deal.

Related reading: The Operator's Guide to Private Equity Value Creation and Why Your Instincts Are Wrong About EBITDA Improvement.