What would do to the P&L?

For the data people and the finance people. You will want to see the math, so here it is.

FICTIONAL. These eight companies do not exist. Every person, number and result on this page is invented or modeled. This is not client data, not a result, not a forecast, not advice and not a price quote.

We built eight example companies, from a CNC shop to a Montessori school. We ran the same model on all of them. Some pay back. Some do not. We left those in.

The base case

CompanyRevenue basis ($M)Levers at 100%Year 3 net EBITDA changeYear 3 margin changePayback (months)Share needed to break even
Fenwright Logistics6.54$359,824$158,736plus 227 bps2541%
Lindqvist Precision7.34$237,765$105,075plus 68 bps2440%
The Wexmoor5.98$163,012$55,169plus 64 bpsOver 3669%
Kettle Creek Veterinary10.45$151,519$50,303plus 24 bpsOver 3670%
Mendell Property Group0.83$83,783$31,779plus 322 bps3051%
Larkhaven Montessori3.12$70,301$15,956plus 49 bpsOver 3694%
Quillback Marine Supply2.57$54,245$3,687plus 6 bpsOver 36115%
Talus Yard Climbing2.02$49,639($5,734)minus 53 bpsOver 36167%

Revenue basis is net revenue for the broker and fee revenue for the property manager. Margin change is measured on that basis. Payback includes the build. No baseline growth is modeled.

Three cases

CaseShare of modeled value that landsCompanies paying back in 36Year 3 margin change, range
Conservative35%0 of 8minus 104 to plus 100 bps
Base60%3 of 8minus 53 to plus 322 bps
Stretch85%5 of 8minus 3 to plus 537 bps

The one formula

Lever value = volume x change x unit value x flow-through.

Annual net change = lever total x realization x ramp, minus annual program cost.

Ramp is 40%, 80%, then 100%. Saved hours count at 50%, because saved hours are not saved dollars. Nothing compounds.

Program costs are invented too. These are not our prices.

What we saw

  • Repetitive work with money attached pays first. Fenwright's billing paperwork and margin per load carry that model.
  • Fixed cost decides small companies. Quillback's levers are real and still barely cover what it costs to run.
  • Demand has to be the constraint. Larkhaven has 300 to 400 inquiries for 40 seats, so more leads are worth almost nothing. We modeled 2 added students.
  • Time is the soft number. About a third of the value here is freed time. It only counts if it turns into a skipped hire, less overtime or more work.

Every assumption is labeled

Each of the 160 inputs in the sheet carries one of four labels.

  • Fixture: read from the company data we already built.
  • Benchmark: from a public source we checked.
  • Derived: calculated from fixtures.
  • Invented: our judgment. Shaded yellow. Challenge these first.

Most inputs are invented. That is why this is a model and not proof. Change any blue cell and it recalculates.

The experiment

Now we try to recreate this with real clients.

  1. Register first. Fill in the model before go-live, then freeze it.
  2. Baseline from the books. Trailing 12 months, from the ledger.
  3. Measure quarterly. Same formula. Measured change over modeled change, lever by lever.
  4. Publish the misses. A lever that underdelivers stays in the table.
  5. Validated means something. 12 months of data, tied to the books, at least 3 clients, median attainment at 60% or better. Until then the word is modeled.

No client appears here, named or recognizable, without written approval.

Reminder: these companies are fictional. Download the sheet and break it.

Open the sheet