Unit economics
Unit economics, read the way a board reads them
Growth charts flatter you. Unit economics tell you the truth. Most founders track revenue and headline growth, but cannot say cleanly what one more customer adds to the bottom line, what it cost to acquire them, or how long until that customer pays back. Alfred sits with your numbers and answers the only question that compounds: does each incremental unit make you money, and at what scale does that stay true.
What unit economics are, and why they decide everything
Unit economics are the profit and cost of a single unit of your business, usually one customer or one order. They strip away the noise of total revenue and ask a sharper question: after the cost of goods, the cost to serve, and the cost to acquire, what is left. A business can grow fast and still be losing money on every customer it adds. Without this view, you are scaling a leak.
The numbers that matter are concrete: contribution margin per unit, customer acquisition cost (CAC), lifetime value (LTV), the LTV:CAC ratio, payback period, gross margin per order, and how each cohort behaves over time. Read together, they tell you whether more spend buys profit or buys distance from it.
The point is simple: more spend, less guesswork, real control over whether your next customer is worth winning.
What you get
Contribution margin per unit
Alfred works out what is genuinely left after the cost of goods and the cost to serve, for one unit and one order. Not blended averages that hide the losers, but the real margin on each line so you know which products and segments actually fund the business.
CAC, honestly counted
Most CAC figures are too kind because they leave costs out. Alfred loads in fully: paid spend, the people behind it, tooling, and the discounts that quietly buy the sale. You get a true cost to acquire, split by channel, so you stop overpaying for customers you cannot keep.
LTV and the LTV:CAC ratio
Alfred estimates lifetime value from your real retention and margin, not a hopeful multiple, then sets it against CAC. Below 3:1 and growth is fragile; well above it and you are likely underinvesting. You get the ratio that tells you whether to push harder or hold.
Payback period
How many months until a customer returns the cost of winning them. Alfred shows the payback curve so you can see how long your cash is tied up before a customer turns profitable, and whether your runway can carry the acquisition pace you are running.
Cohort economics
Averages lie; cohorts confess. Alfred tracks each monthly cohort of customers over time so you can see whether retention and margin are improving or quietly decaying. A worsening cohort is the earliest signal that your economics are turning before the headline numbers admit it.
Gross margin per order
Order-level margin after discounts, payment fees, fulfilment and returns. Alfred finds where margin leaks: the promotion that buys revenue at a loss, the small-basket order that costs more to ship than it earns, the return rate eating a category alive.
The path to profitable scaling
Knowing your numbers is half the job; knowing what to do with them is the rest. Alfred maps where profit improves as you grow and where it breaks, so you spend into the segments that compound and pull back from the ones that look like growth but are really subsidised volume.
Numbers you can defend
Every figure Alfred gives you is traceable to its inputs and assumptions, stated plainly. When an investor or your board pushes on a CAC or an LTV number, you can walk through how it was built and stand behind it. That is the difference between a slide and a position.
How Alfred works
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1. Phase
Frame the question
What are you really trying to decide? Whether to spend more, raise prices, cut a channel, or rethink a product line? Alfred starts by pinning the decision down, so the analysis answers a real question rather than producing a dashboard nobody acts on.
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2. Phase
Pull the real numbers
Alfred takes what you have: revenue, costs, ad spend, retention, refunds, fulfilment. He flags what is missing or unreliable rather than papering over it, because economics built on soft inputs mislead with confidence. You end with a clean, honest base to reason from.
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3. Phase
Build the unit model
Contribution margin, CAC, LTV, LTV:CAC, payback and gross margin per order, computed per segment and per cohort. Alfred shows the working, not just the answer, so each number is something you can interrogate and trust rather than take on faith.
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4. Phase
Pressure-test the scenarios
What happens if CAC rises 20 percent, retention slips, or you raise price five points? Alfred runs the scenarios so you see where the economics hold and where they snap, and you make the call knowing the downside, not just the pitch-deck case.
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5. Phase
Decide and watch the trend
Alfred gives a clear recommendation, the reasoning behind it, and the one or two metrics to watch from here. Available at any hour, he stays with the numbers as they move, so the call you make this quarter is reviewed against what actually happens next.
Who this is for
Founders raising or about to
Investors will test your CAC, LTV and payback line by line. Alfred makes sure you walk in with numbers you built yourself and can defend under questioning, instead of figures you hope no one probes.
Teams scaling paid spend
When you are pouring money into acquisition, the difference between profitable and ruinous growth is a few points of margin and payback. Alfred tells you which channels and segments earn the next dollar and which quietly burn it.
Subscription and recurring models
Where churn, expansion and retention drive the whole P&L, cohort economics decide your fate. Alfred reads how each cohort retains and expands over time, and turns that into an LTV you can actually bank on.
Multi-product or multi-segment businesses
When blended margins hide which lines carry the business and which drag it, you need the breakdown. Alfred shows margin per product and per segment, so you double down on what funds you and fix or cut what does not.
What it costs
Single decision
from 25.000 EUR
One sharp question answered: a clean unit model and a clear recommendation.
Full unit-economics review
40.000–80.000 EUR
The complete picture: CAC, LTV, payback, cohorts, margin by segment, with scenarios.
Standing board seat
80.000–150.000+ EUR
Alfred stays on as a continuous read on your economics, with ongoing oversight for 500–2.000 EUR per month depending on scope: monitoring, monthly cohort reviews, and counsel before every spend, pricing or raise decision. It reads like a lot until you weigh it against one acquisition channel run at a loss for a year.
Why Pennyworth Co?
Board-level, not bookkeeping
Alfred does not just tabulate your numbers, he reads them the way a seasoned board member would: what they imply, what they hide, and what to do next. The output is judgement, not just a spreadsheet.
Your business, not a template
No off-the-shelf benchmarks pasted over your reality. Alfred models your actual costs, customers and margins, so the conclusions fit your business rather than an industry average that may not describe you at all.
Available whenever you need it
The decision that matters rarely waits for a scheduled meeting. Alfred is there at any hour to run a number, stress a scenario, or talk through a call, with the same standard of rigour every time, not a rushed reply between other clients.
Calm under pressure
When the numbers turn and the instinct is to cut everything or spend through it, Alfred holds the line: precise, unflustered, and honest about what the economics actually say. The counsel you want in the room is the counsel that does not panic with you.
FAQs
How quickly will I see the numbers?
A first clean read of contribution margin, CAC, LTV and payback typically takes days, not weeks, once your data is in front of Alfred. Cohort trends sharpen over the following months as more data accrues. The constraint is rarely Alfred; it is how complete and reliable your inputs are.
What if my data is messy or incomplete?
That is the normal starting point. Alfred works with what you have, names the gaps explicitly, and makes reasoned assumptions where a number is missing rather than pretending it is exact. You always know which figures are solid and which are estimates, so you never act on false precision.
What does ongoing oversight cost?
It depends on scope: continuous monitoring, monthly cohort reviews, and counsel before each major decision usually runs 500–2.000 EUR per month. Or you take a one-off review and come back only when a real decision is on the table. Either way you pay for judgement, not for hours.
Will the numbers hold up in front of investors?
That is the point. Every figure is traceable to its inputs and assumptions, so when an investor pushes on your CAC, LTV or payback, you can walk through exactly how it was built. Defensible numbers you understand beat impressive numbers you cannot stand behind.
