The owner's reeve · diligence for e-commerce acquisitions

Know what it's worth today. And what it's worth with you.

For PE firms, family offices, search funds and strategic acquirers. We rebuild a brand's economics from its own data: the earnings worth paying for, what the seller's numbers hide, and what the business can become under you, whether that's growth or a fix. In a deal, everyone wants it to close. You need one person who only wants you to get it right.

What it's worth today, and with youSample brand B · $M, indicative
Indicative value todayadjusted EBITDA $2.10M11.1
If nothing changescash builds; older customers fade+3.7
Spend set by what customers are worthacquisition run to the true-LTV cap+7.1
Fixes in placeleaks fixed; retention and cost levers+5.6
Indicative value at month 3627.5

Fictional sample. Steps are the model's three scenarios at month 36. Multiples are placeholders until set from current market data for the deal.

01Two numbers for every deal

The price is one number. Your return is the other.

A seller's deck blends them: today's earnings, dressed up, plus value you would have to create. We separate them, so you pay for what's there and plan for what you'll build.

Number one

What to pay for

The business as it stands, with the seller's story taken out.

Earnings, from the source data

EBITDA tied to the target's orders, ad accounts and invoices; add-backs tested; owner pay at market rate. Alongside your accountants' QoE, not instead of it.

What customers and units really cost

Customer value from the order history, not the seller's LTV slide; unit cost from invoices, not the price list.

Earnings dressed for the sale

Ad spend cut before a sale lifts EBITDA while new customers quietly fall. Cohorts show it.

Concentration and contracts

One channel, platform, product, supplier or founder; who owns the ad accounts; notice periods.

So you don't pay for earnings that aren't there.

Number two

What you can make

The business under you: fixed, grown, and funded.

Leaks to fix after close

Each ranked by EBITDA and value: discounting, fees, fulfillment, products that lose money.

Growth its customers can pay for

What a customer can cost against what the brand pays, the first step, and how far it can go.

If it's broken: fixable or not

What to stop on day one, how much time that buys, and whether a different model would work.

Cash, scenarios and value

The cash each move needs, three futures side by side, and the value at exit.

So you don't pay the seller for value you'll create.

Sample brand C · customer value against cost, as presented and from its orders

3.6x 0.56x

The deck's LTV is revenue over three years. The orders give contribution over one. Same brand, same customers: one number says scale it, the other says it loses money on every new customer.

02A modelled example

Broken isn't always a no.

The best deals are sometimes brands that don't work yet. The question is whether they can, what it would take, and what that's worth paying today.

$9.5M in sales and a growth story in the deck. The seller shows customers worth 3.6 times what they cost. The orders show 0.56: every new customer loses money, and the brand loses $1.1M a year with seven months of cash.

Most buyers walk. Some should buy, at the right price, with a plan.

Customer value against cost (LTV:CAC)reported 3.6xreal 0.56x
Cost of a new customerreported $45.44real $71.27
EBITDA, last 12 months−$1.12M

Reported: the seller's deck and the ad platforms. Real: the target's own orders and invoices.

Indicative value at month 36, three futures

Do nothingCash runs out in month 7−$3.7M
Cuts onlyLosses stop, sales shrink$0.4M
Cuts, then the new modelProfitable in all three years$4.9M
VerdictFixable, at the right price. Pay for what's there: about $1.2M of stock and cash, less debt. Fund the first months of the plan. Don't pay for the growth story.

Sample brand C is not a real target. It's a fictional brand we built and ran through our engine. Every figure is model output; the plan's levers are assumptions to test, not results. Values are indicative, with placeholder multiples. Profit eases in years two and three because the model holds prices flat while ad costs rise 5% and overheads 3% a year: any price rise is upside, not assumed.

03How we work

Screen. Diligence. Monitor.

Built around your deal timeline. Fixed fees, agreed before we start, and nothing tied to whether the deal closes.

01Screen

Before the LOI. Is it worth diligence, and if it's broken, is it fixable?

  • From whatever the seller has shared
  • Red flags, each with its effect on price
  • A first read on growth, or on whether it can be fixed
5 business days

Red Flag Screen

Deals under $10M$5,000
Deals $10M+$7,500

Rush in 3 days, +25%. Fee credited toward diligence on the same deal.

See the Red Flag Screen

02Diligence

After the LOI. Both numbers, from 24 months of source data.

  • What to pay for: earnings, customers, unit cost, risks
  • What you can make: fixes, growth, cash, value at exit
  • Alongside your accountants' QoE, not instead of it
About 30 days

Commercial Due Diligence

Deals under $10M$25,000
Deals $10–30M$35,000
Deals $30M+Quoted

Reeve Live deal view from the day the data room is complete.

See due diligence

03Monitor

After close. The value plan, tracked every week.

  • Reeve Live on every brand you own
  • Reviewed with your deal team, weekly or monthly
  • Early warning when a brand drifts
No minimum term

Portfolio monitoring

Per brand, per month$2,000
Setup per brand$2,500
After our diligenceSetup included

Your operators do the work; we keep the numbers honest.

See portfolio monitoring

04Reeve Live for deal teams

The deal, live. From diligence to exit.

Reeve Live switches on as soon as the data room is complete. During diligence it runs on the target's data: what customers are really worth, what units really cost, the leaks ranked by value and the forecast to month 36, updated as data arrives. After close it becomes the brand's monitoring.

Reeve Live summary on a phone, fictional sample brand.
Reeve Live, the real product, running on fictional sample data. Desktop and phone.

During diligence

  • Both numbers, live as the data room fills
  • Red flags raised in the weekly review as they're found
  • Every assumption labelled, every check visible
  • Shared only with your deal team

After close

  • The value plan tracked weekly against reality
  • Early warning when a brand drifts
  • Each brand on the same dashboard; a deal-team view across brands is in development
  • Your operators do the work; we keep the numbers honest

Portfolio monitoring Tour Reeve Live

05Who we are

Twenty-five years on the operating side of commerce.

Wholesale, international trade, omnichannel retail and direct-to-consumer. We've launched and advised several brands selling into the US, Canada, the UK, the EU and Australia, so we know where a P&L hides its problems, and where a brand's real upside sits.

Hamed Derakhshan, founder of Reeve

Founder

Hamed Derakhshan

Founded iCowhide in 2018 and built the brand from scratch to more than $36M in direct sales. Twenty-five years running operations and growth in e-commerce and home goods, with more than $66M in sales directed. Has helped launch several DTC brands past $1M. Computer science background; built Reeve's engine.

He has been the founder across the table: he knows which numbers a seller's deck flatters, because he spent years checking his own ad platforms against his bank account.

Hamed on LinkedIn

Why Reeve. On a medieval estate, the reeve was the owner's officer: he kept the accounts, held everyone who worked the land to what they had promised, and owned none of it. That is the job: on the owner's side, the numbers kept true, the work done by others.

Every part of the engine comes from something we got wrong, or watched someone else get wrong.

  • Wholesaletaught usMargin is made or lost before a product ships.so in the engineTrue COGS is built from every invoice, not the price list.
  • International tradetaught usFreight, duties, tariffs and exchange rates move margin more than most dashboards admit.so in the engineLanded cost covers every cost of getting a unit sellable, in every market.
  • Direct-to-consumertaught usAd platforms report what flatters spend.so in the engineTrue CAC and true LTV come from your orders, not the ad dashboard.
  • Omnichannel retailtaught usStore, ads, 3PL and accounting drift apart, quietly.so in the engineNothing reaches you until it reconciles to your books.
  • Launching and advising brandstaught usThe same leaks turn up in brand after brand, market after market.so in the engineThe engine checks for every one of them, every week.

So we built the tool we always wanted: one model of the whole business, checked every time it runs, and independent of anyone who earns from your spend.

Independence

One side of the table, always.

  • Never both sides of a deal.We don't diligence a company we advise, or advise one we've diligenced, before or after.
  • Nothing tied to the close.Our fee is the same whether you buy, walk or renegotiate.
  • Your findings stay yours.Buy-side work goes to you, not the seller, including what we see in its growth.
  • Sourced, not asserted.Every figure traces to the target's own records; every assumption is labelled; every forecast comes with a confidence level.
  • We never execute.We screen, diligence and monitor. Your operators do the work, so we never grade our own.
  • Under NDA, end to end.Deal data is used for your deal only.

06Questions deal teams ask

Does this replace a financial quality of earnings?

No, and it isn't one. A financial QoE is your accountants' work, and lenders rely on it. We cover what it usually doesn't: customers, acquisition, operations and growth, from the target's own records. Most buyers use both.

Can you tell us whether a struggling brand can be fixed?

Yes. It's the question we're built for. We say whether it can work, what it would take, what to stop on day one, and what that leaves worth paying today. If it can't be fixed, we say so.

Who sees the findings?

You. Buy-side work never goes to the seller, and the Reeve Live deal view is shared only with your deal team.

Can you work to our timeline?

Yes. The Red Flag Screen runs in five business days, or three for +25%. Diligence runs about 30 days, with red flags raised as they're found, not at the end.

Do you ever work for sellers?

Not on a deal. We don't advise a company we've diligenced, before or after, and we don't diligence a company we advise.

ReeveGo / No-Go memo · Sample brand C

Recommendation

Go, with conditions

1

Earnings

−$1.12M over 12 months; the deck leads with growth

2

Red flags

Growth bought with discounts · seven months of cash

3

Fixable?

Probably, with a different model · confidence medium

4

What to pay for

The asset floor, about $1.2M, plus funding for the plan

See the work before you call

A sample Go / No-Go memo.

On a fictional brand: the recommendation, the red flags with their effect on price, and a first read on growth or a fix.

Read the memo (PDF)

Tell us about the deal.

Start with a free 20-minute call and an honest first read. We reply within one business day with fit, timing and a fixed fee. Happy to sign your NDA first.

How it works

  1. 01Pick a timeAny 20-minute slot that suits you.
  2. 02A few detailsFirm, deal size, stage and deadline. Happy to sign your NDA first.
  3. 03A call with Hamed, the founderAn honest first read; fit, timing and a fixed fee within one business day.
Pick a time