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Marketing for M&A: what changes in due diligence in 2026.

PwC counted 111 megadeals above US$ 5bn in 2025 — a 76% jump from 2024. Bain reports US$ 1.3 trillion in PE dry powder. In parallel, due diligence got "deeper and more data-driven" — and marketing became a central item, not peripheral. This essay covers what changed, what buyers ask on day 1, and how to prepare your company in 6-36 months.

TL;DR
  • M&A in 2025 got selective: $1.3T in dry powder + 111 megadeals + deeper CDD. Marketing became a multiple gatekeeper, not a peripheral item.
  • Buyer pulls 3 datasets on day 1 of CDD: CAC payback by segment, attributed pipeline, NRR with channel context. Without those, the multiple drops.
  • The real gap: Rule-of-40 companies trade at 9.4x revenue (Bessemer). Bottom quartile sits at 2-3x. For a $6M ARR B2B SaaS, that's $24-36M of enterprise value.
  • Ideal preparation window: 18-24 months before the process starts. Less than that and you document in retrospect — buyers discount more.
  • 5 numbers your finance team should be able to pull in 60 minutes, at the end of the article.

The main point

In 2025 the global M&A market went through a clear divergence: deal volume stayed flat, but value spiked. PwC counted 111 transactions above US$ 5 billion — a 76% jump versus 2024. Total value crossed US$ 1.1 trillion. Bain caught another angle: US$ 1.3 trillion in global buyout dry powder, almost a quarter of it waiting for deployment for over four years.

Money is there. Defensible assets are not. The operational consequence: buyers got more selective, due diligence got deeper. Why does this matter to you, founder or CEO of a B2B mid-market company? Because you are exactly the asset size that capital is hunting.

And here's the point nobody discusses over coffee: marketing became a commercial due diligence (CDD) item. It's no longer a light check of "do you have an agency? do you have a brand? do you have a site?". It's a deep audit of your unit economics. PwC calls the shift "deeper and more data-driven" — AI ingests CRM exports, ad platforms, and dashboards in days, not weeks.

Why marketing entered the CDD room in 2025.

Commercial due diligence itself isn't new. Bain, McKinsey, L.E.K., Roland Berger, OC&C and the Big 4 have run CDD practices for 20+ years. What changed in 2025 is the depth.

Three forces combined to drive this turn:

  1. AI changed what's auditable. What used to take 2 weeks of a 4-consultant team to map is now done in 3 days by an LLM ingesting CRM + analytics + ad accounts. The buyer discovers everything. There's no more "hiding the mess" in the pitch deck.
  2. Selective capital needs a clear thesis. With $1.3T in dry powder waiting on deployment for 4+ years, GPs don't buy promised growth. They buy documented predictability. Marketing is where predictability lives or dies.
  3. Benchmarks went public and standard. Benchmarkit, Bessemer, OpenView, SaaS Capital. The buyer arrives at the table with the ruler already calibrated. There's no more "this sector is different, you can't compare."

The practical consequence: if your marketing doesn't have CAC payback documented by segment, NRR by cohort, and attributed pipeline, the CDD report is already written — and not in your favor.

3 questions, 3 datasets.
Without them, multiple discount.

Every serious CDD team — internal at PE, outsourced to Big 4, or a strategic acquirer — will pull three things on day one. Each one has a public benchmark in 2025. You need to be able to deliver and defend all three.

.01 CAC PAYBACK BY SEGMENT

CAC payback period = how long the customer's gross margin takes to pay back the acquisition cost. Benchmarkit 2025: median B2B = 15 months, best-in-class < 12. ScaleXP segments it by ACV: SMB SaaS 8-12 months, mid-market 14-18, enterprise 18-24. Above 24 reads as a red flag.

More importantly: the buyer doesn't want blended. They want segmented. CAC payback by ICP, by channel, by product line. That granularity is what separates "marketing that returns" from "marketing that looks like it returns but actually captures cheap customers while burning cash on expensive ones".

.02 ATTRIBUTED PIPELINE

Pipeline funnel tracked for 18+ months — MQL → SQL → opportunity → close. Each closed deal with documented source of origin, not guessed. Marketing-sourced vs sales-sourced vs partner-sourced separated.

Why this matters: the buyer wants to know if your growth is repeatable or random. If 80% of pipeline comes from CEO and Sales Director's personal relationships, the multiple prices the risk of them leaving. If it comes from predictable, tracked channels, the multiple prices predictability.

.03 NRR WITH CHANNEL CONTEXT

Net Revenue Retention = revenue this year from the same customer base last year (considering upgrades, downgrades, churn). Bessemer Cloud 100: top cohort runs NRR ≥ 110%. Below 100% reads as structural churn.

Where most companies get hurt: NRR by acquisition channel. If a customer from Google Ads has NRR 85% while a referral customer has NRR 130%, that completely changes the growth thesis. The buyer finds out. You need to have found out first.

How much, in dollars, does documenting marketing right cost?

Here the conversation gets concrete. Bessemer's State of the Cloud 2025 publishes the anchor number: public companies clearing the Rule of 40 (growth + margin ≥ 40%) trade at a 9.4x median revenue multiple. The rest of the BVP Cloud Index trades under 10x as a group — bottom quartile materially below.

Applied to your scenario (B2B SaaS, $6M ARR Brazilian / LatAm mid-market):

ScenarioMultipleEnterprise Value
Bottom quartile (CDD finds gaps in all 3 datasets)2.5x$15M
Median (some datasets ready)5x$30M
Top quartile (Rule of 40 + documented datasets)9.4x$56M
TOTAL GAP (bottom vs top)$41M

I'm not saying that documenting marketing right will single-handedly take you from $15M to $56M of EV. Many factors enter. But documented marketing is what separates "deserves bottom quartile" from "top quartile candidate".

For a $20M ARR company, multiply everything by 3x. For $2M ARR, divide by 3. But the proportion of the gap stays similar — because multiple is multiple, not absolute.

Why 18-24 months is the sweet spot to start.

The ideal window to prepare marketing for M&A is between 18 and 24 months before the sale process begins. Not arbitrary — it's the math of the data collection cycle.

  1. Months 1-3: instrumentation. Audit stack, install UTM hygiene, attribution model, executive dashboard. Without this there's no clean collection.
  2. Months 4-9: baseline + corrections. 6 months of data running. Identifies anomalies (CAC inflated by channel, hidden churn, phantom pipeline). Corrects before it becomes a CDD finding.
  3. Months 10-18: tracked history. 12 months of clean data with cohort analysis. Builds the defensible growth narrative for IM (Information Memorandum) and Q&A.

Whoever has less than 12 months before the process enters "retroactive documentation" mode — the buyer detects this and discounts more. Whoever has more than 36 months has the luxury of doing it calmly (and probably doesn't need a formal pre-CDD program; runs it as management routine).

Those between 12 and 36 months from exit are where preventive work pays the most. Every month that passes without instrumentation is a baseline month you won't have when it matters.

5 numbers your finance team should pull in 60 minutes.

Regardless of when you sell (or if you sell), these 5 numbers are the marketing health thermometer. Ask the finance or sales team to pull this week:

  1. CAC payback period by segment (SMB / mid-market / enterprise — or whichever division makes sense for your business)
  2. Pipeline coverage ratio for the next two quarters (target: 3-4x of quota)
  3. NRR trailing 12 months, broken out by cohort
  4. % of marketing-sourced pipeline (vs sales-sourced, vs partner-sourced)
  5. Rule of 40 score (growth rate % + EBITDA margin %)

If your team can pull it in an hour: you're CDD-ready. If they can't: you just found your Q3 project.

Where the numbers come from.

All benchmarks cited in the text are public and updated in 2025. Click to verify at the source:

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