A sale process can slow down or lose value in due diligence without the business being weak. It happens when the company cannot answer four questions about its own data quickly and in one voice: what is revenue, do customers come back, what does it cost to acquire a customer, and what happens to reporting if a key person leaves. An advisor who knows those answers before the investor does has time to fix the gaps, or at least to explain them. An advisor who learns about them mid-process negotiates from a defensive position.
This article is a checklist to run through with a client before the process starts. Each question comes with a simple test you can do in an afternoon.
What a data mismatch looks like from the advisor's side
The story below is an illustrative scenario, a typical situation rather than a description of a specific project.
An e-commerce company, a few dozen people, solid growth. The founder has decided to sell, the advisor has prepared the materials, and early conversations with investors go well. In week three of due diligence the buyer asks for revenue for the last twenty-four months, broken down by customer.
Finance sends one number. The store system shows another. The monthly report the board gets from the marketing team shows a third. Each has a sensible explanation: a different moment of recognizing the sale, returns booked in a different month, manual adjustments. None of them is an error. But nobody in the company can show, within a day, how to get from one number to another.
The investor does not assume bad faith. The investor assumes risk. They ask for more time, more explanations, access to raw data. The process stretches, the advisor loses momentum, and the founder loses negotiating leverage, because every extra week of questions is an argument for the buyer.
Why investors ask about data before they ask about strategy
A buyer pays for future profits they cannot see. The only way to check whether the forecast holds up is data from the past. If that data is inconsistent or cannot be reproduced, the buyer has several ways to protect themselves: a lower price, part of the price deferred or tied to results, a longer verification period, or extra clauses in the agreement. Each of them costs the seller.
This is the mechanism we call Data Debt: a debt in the data that does not show on the balance sheet until an outsider starts repaying it on the seller's behalf, in the form of a discount. I wrote about how that debt translates into valuation in Data Debt and company valuation. Here the question is more practical: how to check whether your client has that debt before the buyer does.
An investor does not punish messy data. They punish the fact that nobody can say what the mess costs.
These four questions are not an exhaustive list. They are the ones that come up most often, because they touch the four things a valuation rests on: the size of the business, its repeatability, the efficiency of its growth, and its resilience to changes in people.
The order is not accidental. You start with scale (revenue), then check the quality of that revenue (repeat purchases), the price of winning it (acquisition cost), and finally how well the whole setup survives a change of people. If the answer to the first question is ambiguous, a buyer usually does not move on calmly to the next ones. They go back to the first with new questions. So it is worth walking through them in the same order.
Question 1: What is revenue, as one number?
It sounds trivial. It is the most common place where a mismatch begins.
Test: ask finance and the person responsible for sales, separately, for revenue for the same month under the same definition (say, net sales after returns). Compare the results.
If the numbers differ and the explanation starts with "it depends how you count it," you have your first red flag. The differences usually come from a few places: sales recognized at the moment of order, shipment, or payment; returns and corrections booked late; different exchange rates; tax included in one report and not in another.
Differences alone are not the problem. The problem is the absence of one written definition and of a path that shows how to turn figure A into figure B. A buyer who receives three versions of revenue may default to the most conservative one, and then ask what else is not exact. Why a leadership team in that situation reaches for the number that suits it, I described in the piece on the Single Source of Truth. In due diligence it is the buyer who picks the number that suits them.
Question 2: Do customers come back?
Revenue tells you how much the company sold. Repeatability tells you whether it is a business or a series of transactions. That is why an investor asks about the second purchase and about customer lifetime value, meaning how much a customer brings in over the whole relationship with the company.
Test: ask for the share of customers from the first quarter of last year who bought again within twelve months. Measure how long it takes to get the answer and how many sources it has to be assembled from.
Why it is hard: the same customer may appear in the store under one email address, in the newsletter under another, and in the payment system as a guest without an account. If the company cannot recognize that this is one person, repeat behavior looks lower than it is, or higher than it is. The buyer does not know which, so they take the more cautious version.
The red flag is not a low repeat rate. It is the inability to calculate it.
Question 3: What does it cost to acquire a customer, and does it pay back?
This is where the investor checks the efficiency of growth. If a company grows because it spends more and more on advertising, and each new customer takes longer to pay back, the growth is expensive rather than valuable.
Test: ask for customer acquisition cost in the last quarter and for the time after which the margin from that customer covers the cost. Check whether ad spend can be linked to specific orders.
The typical mismatch: advertising platforms report their own sales, each one claims credit for the same order, and the sum of those reports is clearly higher than sales in the store. Management knows this and "keeps a correction in their head." The buyer does not know the correction and has no reason to trust it.
When acquisition cost does not match actual payback, the buyer starts asking how much the growth the company presents as its strength is really worth.
Question 4: What happens to reporting if a key person leaves?
The investor asks this directly, because it concerns risk after the transaction. If all the knowledge about where the numbers come from sits in one analyst's head, the buyer is buying that risk too.
Test: ask who in the company can reproduce the monthly management report without the person who produces it today, and whether there is a description of how that report is built. Then add: "and if that person does not show up tomorrow?"
If the answer is silence, or "we'd call Mark," that is your finding. I covered the consequences of this dependency in why one analyst leaving can bring a company to a standstill for a week. In due diligence the same dependency becomes an argument for a lower price, or for a clause that ties that person to the company after closing.
The one-day test: the simplest way to check a client
If you do only one test with a client, do this one. Pick one of the four questions and measure how long it takes to answer from data alone, without calling people and without "let me check in Kate's spreadsheet."
| Investor question | What should be possible | Red flag |
|---|---|---|
| What is revenue? | One number, one definition, a path to the accounting books | Several versions and "it depends how you count it" |
| Do customers come back? | Share of returning customers by period | No way to recognize the same customer |
| What does acquisition cost? | Cost and payback tied to specific orders | Ad platform reports that do not match sales |
| What if a key person leaves? | Documented way reports are built, a second person who can rebuild them | Knowledge in one head |
If answering any of these takes several days and several people, the buyer will see the same thing, only under time pressure.
What to do when there is no answer
Right before a process is the wrong moment to rebuild anything. Changes to systems made in a hurry tend to become a new source of inconsistency. A more sensible sequence looks different.
First, diagnosis: where exactly the numbers diverge, which gaps are harmless and which a buyer will treat as risk, and what each of them may cost in valuation or in the length of the process. Only then a decision on what to fix before launch, what to explain in the investor materials, and what to leave for after closing.
This is what a short, fixed-scope data audit before due diligence is for. It ends with a report: a map of where the numbers diverge, a target picture of how information should flow, and a roadmap ordered by what costs the most. The roadmap can be carried out by the company's own team or by an external firm. The report does not depend on who does the work, so the advisor recommends an independent diagnosis to the client, not a vendor of implementation.
For the advisor there is one more advantage: you enter the process knowing the company's weak spots instead of hearing about them from the other side of the table. Negotiating position changes when the seller is the first to say where the data needs explaining, and shows how it is already secured.
Four questions to ask this week
You do not have to commission anything to start. At your next meeting with a client who is thinking about a sale, ask these four questions and measure how long the answers take. If all four come back within a day, as one number with a documented source, the client is well prepared. If not, you have a concrete list of the things an investor will ask about before they ask about strategy.
CTA: If you want to see how these four questions look for one of your clients, book a 15-minute call.