Consumer Due Diligence: Brands, Channels and Stores

Introduction

Every acquisition rests on the assumption that the target's recent results are a fair guide to the future. In consumer businesses, that assumption can fail in ways that are hard to see from the financial statements alone: a brand losing households while raising prices, retailers holding more stock than shoppers are buying, promotions whose cost has not yet been booked, or a store fleet whose newest units are quietly underperforming. Consumer due diligence is the work of finding those problems before the purchase price is agreed.

The risks are not hypothetical. In February 2020 the Securities and Exchange Commission found that employees of Diageo North America had pressured distributors to buy products in excess of demand to meet internal sales targets, which allowed Diageo to report higher growth in key performance indicators closely followed by investors; Diageo agreed to pay a $5 million penalty without admitting or denying the findings, according to the SEC's announcement. The general diligence process is covered in the blog post on the due diligence process in M&A; this article covers what is particular to brands, channels and stores.

The first question is whether the brand is getting stronger or weaker with consumers, separate from what the income statement shows. Sales can rise for a year or two on price increases while the number of households buying the brand falls, and that combination usually ends badly. Diligence therefore looks for evidence of consumer pull, the demand that brings shoppers to the shelf, rather than relying on the company's own sales figures.

Brand tracking surveys add the consumer's own view: whether shoppers know the brand, would consider it and associate it with the qualities it claims. Commercial diligence advisers often run their own surveys of the target's buyers and lapsed buyers, asking why people switched in or out, which gives a buyer evidence the company's data cannot supply.

Household Penetration

The share of households in a market that bought a brand or category at least once during a period, usually measured through consumer panel data. Together with purchase frequency and spend per trip, it shows whether a brand is growing by winning new buyers or by selling more to existing ones.

Measuring brand health

Buyers build a picture of brand health from several measures, each from a different source:

Each measure is read as a trend over three years or more rather than as a single reading, and by channel and region, since a brand can be gaining in one channel while losing in another. Buyers also compare the target with the category: a brand losing share in a growing category is in a different position from one holding share in a shrinking one.

The most useful finding is the combination. A brand gaining penetration and holding its price premium is healthy; one gaining share only through deeper promotion is buying volume it may not keep. How brands earn and lose pricing power is covered in brand equity, pricing power and price elasticity.

Promoted versus base volume

Scanner data separates base volume, what a brand sells at its regular price, from incremental volume sold on promotion. A target whose growth comes mainly from promoted volume is more fragile than one whose base volume is rising, because a buyer that reduces promotional spending to lift margins may see sales fall faster than expected. Diligence teams compare promotion depth and frequency with category norms and with the target's own history, and estimate the brand's promotional elasticity: how much volume each point of discount buys. A brand whose volume collapses whenever promotions pause has weak base demand, whatever its headline growth.

Insurgent brands

For young brands sold mainly online or through a few retailers, standard scanner data may cover little of the business. Buyers then rely on the brand's own customer data: cohort retention, repeat purchase rates, customer acquisition costs and sell-through at the retailers that carry it. Social media followers and engagement are useful signals of awareness, but buyers look for evidence that attention is turning into repeat purchases. A brand whose online customers rarely reorder, or whose retail velocity falls after the launch period, is a weaker asset than its growth rate suggests.

The next question is whether what the company ships matches what consumers buy. Reported sales are shipments to retailers and distributors; consumption is what shoppers take home.

Sell-Through

The rate at which products sold to retailers or distributors are bought by end consumers. Comparing a supplier's shipments (sell-in) with sell-through shows whether retailers' inventories are rising or falling, and whether reported sales growth reflects real consumer demand.

Diligence teams reconcile the target's shipments with retail scanner data and, where available, retailer point-of-sale data over several years. Gaps are normal for a quarter or two, because of promotion timing and retailer inventory policies, but a persistent excess of shipments over consumption suggests inventory has been loaded into the channel and will have to unwind. The Diageo case shows why investors and regulators care: shipments in excess of demand flatter today's growth and borrow from tomorrow's.

Reading the reconciliation

A credible reconciliation follows a set order. Teams first align calendars, since the target's fiscal months rarely match the data providers' periods. They then map each data source to the channels it measures, adjust for known changes in retailer inventory policy, and only then calculate the gap between shipments and consumption year by year. A gap that appears every quarter end, or that grows ahead of a sale process, deserves the most attention; a gap explained by a new retailer filling its shelves for the first time is usually benign. The result is a consumption-based forecast that the buyer can compare with management's shipment-based plan.

Coverage gaps in the data

Scanner data does not cover every channel. Some warehouse clubs, discount chains, e-commerce marketplaces and the target's own website may be missing or only partly measured, and panel data is a sample with its own panel bias toward certain households. The share of sales in measured channels therefore varies widely from one brand to another. Buyers map which share of the target's sales each data source actually covers before drawing conclusions, a problem explained in consumer data: scanner, panel, card and foot traffic.

The third area is whether the target's earnings are stated on a sustainable basis. In packaged goods, the largest judgment is trade spend, the promotions and allowances paid to retailers, which is deducted from revenue and depends heavily on estimates. Buyers rebuild the gross-to-net waterfall by customer, test whether trade accruals cover the claims retailers will make and look at the balance of unresolved retailer deductions, the issues set out in trade spend and gross-to-net in consumer products.

The aging of deductions is a useful test. A growing balance of retailer deductions that have been outstanding for many months suggests either that the target is disputing claims it will eventually lose or that its trade accruals have been too low. Buyers compare the reserve for disputed deductions with the company's historical recovery rate and adjust earnings if the reserve looks thin.

Supplier funding and rebates

The cost side carries its own estimates. Discounts and rebates from suppliers, and vendor funding received by retailers, can be recognized too early or in exchange for commitments that are not disclosed.

The case is described in the SEC's announcement. Beyond trade and supplier terms, a quality of earnings review normalizes one-off items: pricing actions not yet matched by competitors, commodity hedging gains, unusually low marketing spending and costs a new owner will need to add. What such a review covers in general is explained in the blog post on quality of earnings reports.

Commodity and pricing normalization

Consumer margins move with input costs and with the timing of price increases. A target that raised prices just before a fall in commodity costs may show an unusually high margin that competitors will erode; one that has not yet passed through a cost increase may look worse than it will. Buyers restate recent margins on normalized input costs and check how quickly the target has achieved price pass-through of cost changes in the past.

Working capital and the peg

Consumer working capital swings with seasonality and promotions: inventory builds ahead of holidays or summer, receivables rise after big retailer orders, and trade accruals move with the promotional calendar. Diligence establishes a normal level across the year, which becomes the working capital peg in the purchase agreement, and checks whether the target has stretched supplier payments or reduced inventory before the sale to flatter cash flow. A seller that runs inventory unusually low into closing may deliver a business that needs cash to restock shortly after.

Consumer brands often depend on a handful of retailers, and that dependence shapes both risk and negotiating power. General Mills, for example, reported that Walmart accounted for 22% of its consolidated net sales and 31% of its North America Retail segment's net sales in fiscal 2025, according to General Mills' Form 10-K. For a smaller target, one retailer can account for a far larger share.

Testing the retailer relationships

Buyers test these relationships directly where they can. Customer interviews, often run by commercial diligence advisers with the target's consent, ask retail buyers how they see the brand, whether they plan to expand or cut its shelf space and how it compares with competitors and private label. Retailers' answers frequently reveal range reviews or price negotiations that do not yet show in the numbers.

Diligence on customer concentration covers the terms of the relationship as well as its size: payment terms, promotional commitments, fines for late or incomplete deliveries, upcoming shelf resets and the retailer's own private label plans in the category. Buyers also check whether key retailer agreements contain change-of-control provisions or would be renegotiated under new ownership. The wider dynamics are explained in retailer power, shelf space and customer concentration.

Private label exposure

Buyers also assess the threat from the retailers' own brands. A category where large retailers are investing in private label, or where store brands already hold a large share, limits the target's pricing power and shelf space. Diligence looks at private label share and price gaps in each category the target sells in, and at whether the target itself manufactures private label products, which can fill factories but strengthen a competitor.

Channel mix and online sales

Channel mix matters for margins and risk. Sales through Amazon or the brand's own website carry different costs, data and pricing control than sales through grocery chains; sales to club and dollar stores carry different pack sizes and price points. Buyers analyze channel profitability, since a target growing mainly in a low-margin channel may be growing less valuably than its sales suggest.

Supply chain, quality and recalls

Operational diligence covers where and how the products are made. Many smaller brands rely on co-manufacturers, whose capacity, pricing and contract terms determine whether the brand can scale; single-source ingredients or packaging create further risk. For food, beverage and personal care products, buyers review quality systems, regulatory inspection history and past recalls, and in an era of shifting tariffs they map where key inputs and finished goods come from.

For retailers, restaurants and other store-based businesses, diligence moves to the unit level, and cohort analysis becomes the central tool. Buyers ask for store-level profit and loss statements, comparable sales by store and by opening year, and the returns of recent openings, using the measures in four-wall EBITDA, new-unit returns and payback. Cohort analysis shows whether newer stores perform like older ones, and the distribution of store profits shows how many units carry the fleet.

Store profit distribution and deferred capex

A fleet average can hide a long tail of weak units. Buyers rank stores by four-wall profit and identify the tail stores that earn too little to cover their rent and share of overheads, then ask whether the forecast assumes they close, recover or carry on. They also check for deferred capital spending: stores that have missed remodels or equipment replacement to support recent cash flow will need investment after closing, a burden explained in capex in consumer: maintenance, remodels and growth.

Labor deserves the same scrutiny. Store and restaurant wages are among the largest costs, and buyers model the effect of scheduled minimum wage increases in the target's states, staff turnover and any reliance on overtime. A fleet concentrated in states with rising wage floors carries a cost increase that the historical margin does not reflect.

Lease review

The lease portfolio is often as important as the stores themselves. Buyers map lease expiries and renewal options, rent escalators, co-tenancy clauses that let a tenant reduce rent if anchor stores close, and landlord consent rights that a change of ownership might trigger.

Lease terms also affect the deal itself. Some leases require the landlord's consent to a change of control or assignment, and landlords asked for consent may seek higher rent or a guarantee from the new owner. Buyers identify those leases early, estimate the cost of obtaining consents and decide whether any are important enough to make closing conditional on them.

Diligence findings feed directly into the price and the purchase agreement. They adjust the buyer's forecast, set the working capital target, shape representations and indemnities, and sometimes lead to earnouts or a lower price.

Findings are most useful when they are quantified. A buyer that concludes shipments have run two points ahead of consumption will rebase the forecast to consumption, which lowers the starting revenue and, through operating leverage, the starting EBITDA by more; a buyer that finds trade accruals short by a known amount will deduct it from earnings and the multiple applied to them. Translating each finding into a change in EBITDA or in the price keeps the negotiation anchored in evidence.

Preparing the seller

On the sell side, the same analysis is prepared in advance. Sellers commission vendor due diligence reports on financials and, increasingly, on the commercial position of their brands, reconcile shipments with consumption, clean up trade accruals and deductions, and explain any unusual quarter before buyers find it, then organize the data room around the questions buyers will ask. A seller that can show buyers a consistent story across the income statement, scanner data and store results usually keeps more of its asking price, because it removes the uncertainty buyers would otherwise price in.

For a coverage banker, consumer diligence is where the story meets the evidence. Advising a seller, bankers prepare the brand, channel and store analysis before buyers ask for it; advising a buyer, they make sure the forecast rests on what consumers are actually doing, not on what was shipped, promoted or accrued.