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Check the dataWe analyze revenue, direct and variable costs, acquisition channels, repeat purchases and retention.


GTM for IT products → Unit economics
Unit economics calculation: CAC, LTV, margin, payback period, break-even point and maximum affordable cost per lead. Find out whether your model works before you invest in traffic.
Discuss your projectOverview
Revenue growth doesn't always mean profit growth. If acquisition cost, margin and payback period aren't linked in one model, a bigger budget can just make you lose money faster. We define the decision boundaries: how much you can pay per customer, what sales volume you need and what to change before scaling.
Solution architecture
We start with the quality of the source data and finish with the conditions under which growth doesn't destroy profit and cash flow.
We analyze revenue, direct and variable costs, acquisition channels, repeat purchases and retention.
We define the unit of calculation and link acquisition cost, customer value, margin and payback period.
We build base, target and stress scenarios and test sensitivity to price, conversion and retention.
We set the maximum affordable cost per customer and per lead, the required sales volume and the payback period.
We show what can be scaled, what to improve first and which data to collect regularly.
Unit economics and ROI
Unit economics keeps your budget from scaling a loss-making model. The team sees not just total revenue, but customer cost, margin and payback time by product and channel.
The effect comes when budget shifts to sustainable channels, price and margin are adjusted before growth, and decisions rely on acceptable thresholds rather than business-wide averages.
Result
You get a model with documented sources and assumptions that your internal team can update on its own.
Comparison of approaches
The same revenue can hide either sustainable growth or mounting losses.
| Approach | Based on | Main risk | Output |
|---|---|---|---|
| Increase the budget without calculations | Overall sales trend | Scaling the losses | More traffic and more uncertainty |
| Look at averages | Business-wide results | Missing a weak product or channel | The big picture |
| Calculate unit economics | Customer, product and channel | Requires high-quality data | Decision thresholds and scenarios |
Limitations and risks
Unit economics is useful once you have real sales data. Without it, precise formulas create false confidence.
Without proven demand, you first need to test the value and willingness to pay.
With so little data, you can't tell a pattern from a random result.
If metrics can't be split by product or channel, you first need to set up proper accounting.
A good fit
Not a fit
Frequently asked questions
No. The ratio has to be assessed together with gross margin, payback period, churn and the cash cycle.
We use the verified part, record the assumptions explicitly and show which metrics you need to start collecting. If there aren't enough facts, we say so directly in the conclusions.
Unit economics looks at a single customer, order or product. A financial model shows the business as a whole. RevOps turns revenue and pipeline metrics into an ongoing management process.
A calculation model, a list of sources and assumptions, scenarios, decision thresholds and recommendations for further data collection.
The cost depends on the number of products, segments and channels to compare and on the quality of the source data. We fix it after an initial data review, once it is clear how many metrics will have to be reconstructed manually.
In a subscription model the unit is usually a customer or an account. We connect acquisition cost, monthly revenue, gross margin, churn and payback period. This shows how many months it takes a customer to pay back the investment and at what churn level the model stops working.
It depends on the number of products and channels and on how ready the data is. If revenue and costs have to be pulled from different systems, most of the time goes into verifying the source numbers. We give a realistic timeline after an initial data review.
Revenue by customer or order, direct and variable costs, marketing and sales spend by channel, and data on repeat purchases, renewals and churn. For SaaS and apps, exports from billing, the CRM and product analytics are especially useful.
Yes. For an app we calculate the cost per install and per paying user, conversion to payment, cohort retention and revenue per user after app store fees. This shows which acquisition channels can be scaled and which are losing money.
