Operator memo · Sellers
What the buyer sees when they open your CIM
The four variables we underwrite before we finish your executive summary, and how to score your own business before you engage a broker.
The four variables we underwrite before we finish your executive summary, and how to score your own business before you engage a broker.
We sit across the table from sellers. That is the chair Ecomma occupies: buyer, operator, acquirer of high-upside ecommerce brands. When we open a Confidential Information Memorandum, we are not reading a story. We are running a rapid-fire diagnostic on four variables, and we form a preliminary multiple before we finish the executive summary.
Most sellers assume the CIM is a marketing document. It is not. It is a diligence instrument. The buyer's analyst is already cross-referencing your channel mix against your claimed SDE, checking whether your revenue months match your add-back schedule, and flagging whether the operational layer you describe could survive your absence.
What stops most deals at our desk is not a bad business. It is a business in a metric state that prices poorly. Those are different problems with different solutions, and confusing them costs sellers real multiple.
Across our deal flow in the $250K to $5M SDE band, the spread between a mid-band and upper-band exit is rarely about revenue. It is about four factors that either hold up under diligence or collapse under it. We have run this diagnostic on every business we have acquired, and we run it in reverse on every CIM we open from the seller side.
This piece lays out what those four factors are, how buyers weight them, and how to score your own business before you engage a broker.
The conventional advice is to prep for 12 to 24 months before going to market. We have watched sellers do exactly that and still list into a mid-band or below-band LOI, because the months they spent preparing did not move the four variables buyers actually underwrite. We have also acquired businesses that had been in preparation for less than a year and cleared at upper-band multiples, because their metric state was clean.
Hold-time-to-prepare correlates weakly with exit multiple across our acquisitions. The correlation that holds is with metric-state-at-listing. A business that arrives with clean financials, documented operations, proven owned-audience density, and a buyer-specific narrative closes faster and at a better number than a business that spent two years preparing the wrong things.
Ecomma operates through the hold precisely because we know which variables move the multiple. Before we acquire, we map the gap between current metric-state and exit-ready metric-state. Then we close that gap using Operate, our Product-plus-Marketing function. The seller who runs the same diagnostic before they engage a broker gets the same intelligence we pay to create during the hold.
This is the acquire-operate-exit cycle seen from the seller's side of the table.
We use this framework as our pre-listing audit instrument. The four factors are not original to us in isolation, but the weighting and scoring are drawn from our own deal flow, not from broker-published comp tables.
We score each factor on a 1-to-5 scale at pre-listing audit. A total below 12 means the business is not ready to list at its target multiple. A score between 12 and 15 means the business will price mid-band. A score of 16 or above means the business is positioned to clear upper-band. The math is defensible across our deal flow in this SDE range.
Each of the four sections that follow addresses one factor in detail. We include the specific mechanics of how buyers test each factor in diligence, and what movement on each factor has historically meant for the multiple in businesses we have acquired and exited.
Financial cleanliness is not a differentiator. It is a floor. A business that cannot clear this floor does not get priced. It gets retraded or passed.
We have arrived at LOI on businesses with strong channel metrics and solid repeat-purchase curves only to find the financials on a cash basis with years of commingled personal expenses. That is not a clean deal. It is a diligence project that costs both sides time, and often costs the seller 0.3x to 0.5x in negotiation leverage while we work through add-backs together.
In our acquisitions, sellers who arrived with sell-side QoE closed faster and at the upper end of their comparable band. Sellers without it spent four to eight weeks defending add-backs, frequently conceding 0.3x in the process.
For deal-A, a $2.1M SDE DTC supplements brand we acquired, the financials were on a cash basis at acquisition. Restating to accrual and getting the books QoE-ready took fourteen months of operate-phase work. That restatement was necessary before the exit CIM could be opened credibly to buyers. A seller who had done that restatement pre-listing would have entered our acquisition conversation at a materially higher floor multiple.
The specific items buyers test in the financials layer: accrual-basis P&L for 24 trailing months minimum, documented add-back schedule with category and justification, clean separation of owner compensation from distributions, and a reconcilable bridge from gross revenue to SDE. Missing any one of these slows the deal. Missing two or more typically breaks it.
Financial cleanliness scores a 1 if none of the above are present. It scores a 5 if the seller has a completed sell-side QoE with no material post-review adjustments. Most businesses we see score a 2 or 3 on this factor at first conversation.
Thesis 02 from our deal experience reframes the standard channel diversification advice. The conventional rule is to keep no single channel above 60% of revenue. That is the floor. Hitting 60/30/10 earns you entry-level pricing. It does not earn you upper-band pricing by itself.
The actual edge is owned-audience density: the percentage of revenue sourced from email, SMS, and organic, combined, with documented cohort-level LTV data behind it. Two businesses with identical 60/30/10 channel splits price differently when one has named LTV cohorts broken out by acquisition channel and the other carries only blended trailing-twelve numbers.
Deal-A illustrates the first version of this. At acquisition, that $2.1M SDE supplements brand ran 78% Meta paid. We spent twelve months in operate-mode building email and SMS to 35% of new-customer revenue, qualifying a second manufacturing source, and rebuilding the channel mix to roughly 45% Meta paid, 25% email and SMS, 20% organic, 10% Amazon. The channel diversification work added approximately 1.0x to the exit multiple versus the acquisition price, far exceeding the operating cost to execute it.
Deal-B tells a different part of the story. That $680K SDE Amazon-FBA outdoor gear brand ran 92% Amazon at acquisition. We did not attempt to de-Amazon-ify the business. The deal thesis was channel ownership, not channel replacement. We built the email list to 22,000 active subscribers in eleven months via Amazon insert cards and on-store popups. At exit, Amazon was still 78% of revenue. The email list and the proven secondary-channel revenue added measurable multiple even though the channel itself remained small by revenue share.
The lesson from deal-B: buyers post-2024 want to see the secondary channel as proven revenue, not aspirational signups. A list of 22,000 active subscribers with documented open rates and attributable revenue is a different asset than a list of 22,000 cold names. Owned-audience density requires both the audience and the revenue proof.
For deal-C, a $1.4M SDE subscription beauty brand, the cohort LTV data we built during operate-mode surfaced that organic-acquired subscribers had 3.2x the LTV of paid-acquired subscribers. That single data point became the largest line item in the buyer's IC memo. Most sellers in this band do not have cohort-level LTV segmented by acquisition channel. Building it pre-listing is a high-return analytical investment with no capital cost.
Founder-dependency is the most common reason we apply a discount at LOI. It is also the most common thing sellers tell us is not a problem, right up until we ask them to walk us through what happens operationally if they stop responding for 90 days.
The 90-day window is the test buyers run mentally on every business. Can this operation run without the founder for 90 days without material degradation? Not smoothly. Not perfectly. Just without material degradation. If the answer is no, the business is priced as a job, not an asset, and the multiple reflects that.
In deal-A, removing the founder from daily decisions was one of three major operate-phase priorities. That transition took nine months to execute properly: one General Manager hire, two specialist hires, and a structured handoff that gave the new ops layer real decision-making authority before the exit process started. The buyer's Investment Committee memo cited founder removal from daily decisions as the single most significant factor in their underwriting confidence. Not channel mix. Not revenue growth. Operational independence.
In deal-C, the founder's brand identity was fused with the business social presence. We hired a creative director and migrated the brand's social accounts from founder-personal to brand-owned over eight months. There was measurable subscriber attrition during that migration. We accepted it. A brand whose reach depends on a founder's personal credibility transfers at a material discount, or does not transfer at all. Doing the migration twelve or more months before exit, accepting the attrition early, is the correct trade.
For the Multiple-Driver Four-Factor score, operational independence earns a 4 or 5 only when the ops layer has been running without founder involvement for 90 or more days before the listing date. Documentation of SOPs is necessary but not sufficient. Buyers want the SOPs tested in production, not written and filed. A binder of documented procedures with no runtime behind them scores a 2, not a 4.
The operational independence question also covers supplier relationships. In deal-A, the founder held two key supplier relationships as verbal agreements and personal contacts. We formalized both into written agreements and qualified a second factory for 25% of unit volume. Those three items eliminated what would have been four standard diligence questions from the buyer, compressing the diligence timeline and keeping price discipline intact.
We use the Buyer-Thesis Match framework to rank buyers before LOI, not after. The four axes we score are: whether the channel mix matches the buyer's category strength, whether the operating-leverage opportunities the business carries are ones the buyer can execute, whether the risk profile fits the buyer's portfolio diversification, and whether the hold horizon matches the buyer's fund timeline. A buyer with a high match score on all four axes typically closes cleaner, moves faster through diligence, and applies fewer post-LOI price adjustments.
Deal-A's seller chose our LOI over a competing offer that was 5% higher in headline price. The competing offer structured a significant portion of proceeds as an earnout tied to 12-month post-close revenue targets. Ours was a clean 100% cash close. Net-present-value analysis showed our offer was higher in realized proceeds, even at the lower headline. The seller's decision to apply a match-score buyer ranking lens rather than a headline-price lens captured that difference.
For sellers in the $250K to $5M SDE band, the practical application of the Buyer-Thesis Match framework looks like this: before you run a competitive process, build a short profile of each buyer's stated thesis. What categories do they operate in? What is their post-close operating model? Do they have the Product and Marketing capability to preserve and grow what makes your business valuable? A strategic acquirer in an adjacent category who can absorb your supplier relationships prices your business differently than a financial buyer who will hire a new GM and figure it out. The match matters to the multiple.
Earnout mechanics, exclusivity periods, rep-and-warranty caps, and indemnification baskets are all variables that erode the headline LOI on the path to close. A buyer whose thesis matches yours has less incentive to use those mechanics aggressively. A buyer who is stretching to justify the acquisition at their internal rate of return uses every one of them.
Ecomma's position in these conversations is direct: we tell sellers where we are a high-match buyer and where we are not. We do not compete on headline LOI to win deals we cannot underwrite cleanly.
Margin expansion signals operating leverage. Revenue growth signals market timing. At this deal size, buyers underwrite operating leverage because they are paying for a business they need to run and exit, not a market position they expect to hold for a decade. Flat or compressing margins on a growing revenue line raise a specific question: is this growth bought with margin, and what happens to SDE when the buying stops?
Deal-D illustrates the margin argument most clearly. That $3.2M SDE multi-brand portfolio carried one brand, Brand B, running at 38% gross margin when we acquired it. We eliminated Brand B's discount-channel sales and rebuilt gross margin to 51% over seven months. The 11% revenue growth in the same period contributed less to the exit multiple than the margin recovery did. Buyers examining that business at exit saw a portfolio where the lowest-margin brand had been corrected, not one where revenue had been papered over with promotional spend.
For the Multiple-Driver Four-Factor framework, the margin-trend line feeds into the financial cleanliness score but carries independent weight in how buyers model forward SDE. A seller who can present 24 trailing months of gross margin expansion, with a documented explanation of what drove it, is presenting a different underwriting case than a seller who presents 24 months of revenue growth with a blended margin line.
Two specific metrics that move this score: gross margin trajectory (month-over-month trend across trailing 24, not just TTM average) and operating leverage ratio (SDE as a percentage of gross profit, trending up). Most sellers know their TTM SDE. Far fewer have prepared the month-level margin trend chart that buyers use to stress-test the forward model.
Cost-out work, which in deal-D included renegotiating a shared 3PL contract that saved 11% of fulfillment cost across the portfolio, often returns more multiple per dollar spent than the equivalent revenue investment. We have seen this pattern consistently across our acquisitions in this SDE band: margin work outperforms revenue work in multiple impact when the business is already at scale.
The diagnostic is the same one Ecomma runs on every business before we acquire it. Run it yourself before you call a broker. Score each factor on a 1-to-5 scale.
Total below 12. Not ready to list at your target multiple. Resolve the lowest-scoring factor first.
Total between 12 and 15. Ready to list, will price mid-band. Identify which single factor is holding you below 16 and address it before engaging a broker.
Total of 16 or above. Positioned for upper-band pricing. The next question is which buyer matches your thesis at that price level.
You're a year out. Maybe two. The conversations we have most often are not with sellers under LOI. They are with founders who scored themselves an 11 on the Four-Factor as they read this and are quietly working the gap before they call anyone.
That is the right move. We've had founders email us a year before they were ready, ask three sharp questions, then disappear back into operating their business until they hit 16. We respect that pattern. It produces the cleanest exits.
So if you scored yourself somewhere on the way through this piece, here is the only thing we would tell you that the broker on the other line will not: the gap is closeable, and you have more time than you think you do. Most of the work that moves the multiple is operational, not financial. It does not require a fundraise. It requires a list of four things and the discipline to do them in order.
The piece you just read is the diagnostic. The work is yours. We are happy to compare notes.
We read every email that comes through the operator desk. Tell us what you got. Tell us which factor surprised you. Tell us which one you already knew was the problem and have been avoiding. We answer them all, in our voice, not a templated reply.
We are not a broker. We do not list and walk. We are PE-meets-tech, and we are the buyer at the table.
If you have cleaned three or more of the four multiple-drivers above, the next conversation is whether we are the right counterparty for what you are building toward. If you are not there yet, send the questions anyway. We answer those too.
— The Ecomma desk · May 2026