CPG commercial due diligence is the process an investor or acquirer uses to test whether a consumer brand's revenue is real, repeatable and growable before committing capital. It sits alongside financial, legal and operational diligence, but it answers a different question. Financial diligence asks whether the numbers are accurate. Commercial diligence asks whether they will still be there in three years, and why.
Brand Refinery is a CPG consulting firm that supports private equity firms, family offices and strategic acquirers on commercial diligence for food, beverage, beauty and household brands, and that helps founders prepare for the same process from the other side of the table. This guide explains the questions a diligence team is trying to answer, the data it will ask for, the tests it will run, the findings that reduce valuation or kill deals, and how a founder should prepare twelve months before a process.
What Commercial Diligence Is Trying to Prove
Every commercial diligence engagement on a consumer brand reduces to five questions.
- Is the demand real? Do consumers choose this brand repeatedly, or did the revenue come from distribution gains and promotion?
- Is the growth repeatable? Can the next three years of the plan be delivered with the retailers, channels and capabilities the brand has, or does the plan assume accounts that have not been won?
- Is the margin structural? Will gross margin hold as the brand scales, as trade spend normalises, and as retailers negotiate?
- Is the brand defensible? What happens when private label or a better-funded competitor enters the set?
- Is the management plan credible? Does the team know its numbers at the level the diligence team will test them?
A brand that can answer all five with data trades at a premium. A brand that answers them with narrative trades at a discount, if it trades at all.
The Data Request
A commercial diligence team will ask for the following within the first week. Founders who can produce it cleanly send a strong signal before any analysis begins.
Revenue by retailer, by channel and by item, monthly for at least 24 and ideally 36 months, with gross-to-net bridges that show list price, trade spend, deductions and chargebacks separately.
Syndicated scan data from Circana, NielsenIQ or SPINS, depending on the channel, covering the brand and its category for the same period. Our guide to CPG retail data explains what each source measures and where it is blind.
Distribution and velocity history by retailer and item: store count, total distribution points, units per store per week, and the timing of each gain or loss of distribution.
Promotional calendars and lift analysis showing base versus incremental volume for each major event.
Retailer scorecards and category review outcomes, including any items discontinued and the stated reason.
Consumer data where it exists: household panel repeat rates, loyalty card data from retailer portals, DTC cohort data, and any brand tracking or consumer research.
Cost data by item: cost of goods, co-packer agreements, freight, 3PL and distributor terms, and the volume breaks in each.
The Tests a Diligence Team Runs
Velocity versus distribution
The first analysis separates growth from distribution gains and growth from velocity. A brand that tripled revenue by going from 500 to 1,500 stores at flat velocity has proven it can win buyer meetings. A brand that grew velocity in the same stores has proven consumers want the product. Investors pay for the second and discount the first, because distribution gains stop when the obvious retailers are won.
The test also looks at what happened after launch promotions ended. If velocity held once the introductory TPRs and displays came off, the demand is real. If it fell back to the category average, the plan is buying volume.
Repeat and household penetration
In consumable categories, repeat purchase is the clearest measure of product-market fit. Diligence teams look at the share of buyers who purchased again within the period, how many times, and whether repeat is improving or decaying across cohorts. A brand with high trial and low repeat is a marketing engine, not a franchise, and its growth will cost more each year. Where panel data is unavailable, retailer loyalty data and DTC cohorts are used as proxies, with appropriate scepticism about how representative they are.
Gross-to-net and trade spend
Trade spend in U.S. consumer goods commonly runs 15 to 25 percent of gross sales for emerging brands and can be higher during retail launches. Diligence rebuilds the gross-to-net bridge from source documents to confirm that net revenue is what the brand says it is, that deductions are reconciled, and that the plan's margin expansion is based on specific actions rather than on an assumption that trade spend will fall. Our article on trade marketing strategy describes how disciplined trade spend looks in practice.
Customer concentration and retailer risk
A brand with 40 percent of revenue in one retailer carries a single-decision risk that will be priced into the deal. Diligence teams review the health of each major account: recent category review outcomes, item count trends, relationship depth below the buyer, and the terms of any supply agreement. They will also form a view on the retailer's own trajectory. A brand concentrated in a retailer that is rationalising stores or pushing private label harder faces a different risk than one concentrated in a growing format.
Channel mix and channel economics
Retail, DTC, Amazon, club, foodservice and international each carry different margins, working capital profiles and growth ceilings. The diligence team models each separately and tests whether the mix in the plan is achievable. Heavy reliance on Amazon or DTC invites analysis of advertising cost of sales, return on ad spend and contribution margin after fulfilment, because growth that is bought with paid media at negative contribution is not growth an acquirer wants to fund.
Category and competitive position
Finally, the team places the brand in its category: category growth, the segments that are gaining, private label share and trajectory, the entry of large strategics, and the brand's price position relative to the set. A fast-growing brand in a declining category is a share story that will get harder. A premium brand in a category where private label is winning needs a defensible reason to exist.
Findings That Reduce Valuation or Kill Deals
Across diligence engagements, the same findings recur.
Velocity below category average in the brand's largest retailer, masked by distribution growth.
Trade spend that has risen every year with no plan to reverse it.
A gross-to-net that does not reconcile because deductions were never cleared.
Repeat rates that are strong in the home market and untested in the markets the plan depends on.
Co-packer agreements with no volume pricing, no exclusivity and no transition rights, which means the acquirer inherits supply risk it cannot price.
A plan that assumes entry into Walmart, Target or Costco within eighteen months with no evidence that conversations have started. Our retailer guides on Walmart, Target and Costco show how long those routes actually take.
Management that cannot explain the bridge between last year's gross revenue and net revenue without the finance consultant in the room.
How Founders Should Prepare
Exit preparation is commercial diligence run on yourself, early enough to fix what it finds. Twelve months before a process, do the following.
Buy or build the data. Subscribe to syndicated data for your category in your primary channel, and pull retailer portal data for your largest accounts. If you cannot see your own velocity against the category, neither can an investor, and the absence will be read as a weakness.
Clean the gross-to-net. Reconcile every deduction, document trade spend by event and retailer, and build the bridge investors will rebuild.
Fix concentration where you can. Diversifying from one retailer to three with real velocity in each changes the risk profile of the business more than almost anything else a founder can do in a year.
Prove repeat. If panel data is out of reach, use retailer loyalty data, DTC cohorts or a structured consumer study. Know the number before someone else measures it.
Tidy the supply chain. Renegotiate co-packer and distributor agreements so they survive a change of control, include volume pricing, and give an acquirer confidence that capacity exists for the plan. Our co-packer selection guide covers the terms that matter.
Write the plan the way diligence reads it. Each year of growth should be attributable to named retailers, named items and a velocity assumption that is defensible against history.
This article is general information, not financial, legal or investment advice.
Where Brand Refinery Fits
For investors, Brand Refinery runs commercial diligence workstreams on consumer brands: velocity and distribution decomposition, retailer and buyer referencing, trade spend analysis, category positioning and operational readiness for the growth plan. For founders, we run the same process twelve to eighteen months before an exit and then help close the gaps it finds. If you are evaluating a consumer brand or preparing one for a process, book a call with us, or read more about our advisory work on our services page and about page.
Frequently Asked Questions
What is commercial due diligence for a CPG brand?
Commercial due diligence for a consumer packaged goods brand is the investigation an investor or acquirer performs to test whether the brand's revenue is driven by real, repeatable consumer demand and whether its growth plan can be delivered with the retailers, channels and margin structure it has. It analyses velocity against distribution, repeat purchase, gross-to-net and trade spend, customer concentration, channel economics and category position, and it sits alongside financial, legal and operational diligence in a transaction.
What data do investors ask for in CPG due diligence?
Investors typically request 24 to 36 months of revenue by retailer, channel and item with a gross-to-net bridge; syndicated scan data from Circana, NielsenIQ or SPINS for the brand and its category; distribution and velocity history by retailer and item; promotional calendars with lift analysis; retailer scorecards and category review outcomes; consumer repeat data from panels, loyalty programs or DTC cohorts; and item-level cost data including co-packer, freight, 3PL and distributor terms.
Why does velocity matter more than distribution in due diligence?
Velocity, measured as units per store per week, shows whether consumers choose the product once it is on the shelf, while distribution shows only that the brand won buyer meetings. Growth from distribution gains stops once the obvious retailers have been won, and items with below-average velocity are removed at category reviews. Investors therefore pay for velocity that holds after launch promotions end and discount growth that came from store count alone.
How does trade spend affect a CPG brand's valuation?
Trade spend is deducted from gross sales to reach net revenue, and emerging U.S. consumer brands commonly spend 15 to 25 percent of gross sales on it. Diligence teams rebuild the gross-to-net bridge from source documents and test whether the plan's margin expansion rests on specific actions or on an assumption that promotional spending will fall. Rising trade spend with no plan to reverse it, or deductions that have never been reconciled, reduce valuation because they signal that reported growth is being bought.
How should a founder prepare a CPG brand for an exit?
A founder should begin twelve to eighteen months before a process by subscribing to syndicated and retailer data for the brand's primary channel, reconciling the gross-to-net and documenting trade spend by event, reducing dependence on any single retailer, measuring repeat purchase through panel, loyalty or cohort data, renegotiating co-packer and distributor agreements so they include volume pricing and survive a change of control, and writing a growth plan in which each year is attributable to named retailers, items and defensible velocity assumptions.