Problems › We Do Not Know Which Products Make Money › Fintech
Every business has a line that everyone assumes is profitable, and it is usually the one being subsidised. This page works through it for fintech companies specifically — including an unedited excerpt from a real analysis of a fintech.
Every business has a line that everyone assumes is profitable, and it is usually the one being subsidised. The version of this question that applies to fintech companies is not the generic one. Lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple — so an answer that ignores blended take rate will be confidently wrong. The analysis has to start from charge-off rate and contribution margin rather than from revenue.
Product-level profit is genuinely hard because most costs are shared, and the usual allocation — by revenue — quietly guarantees the answer. Allocating overhead in proportion to revenue makes high-revenue lines look expensive and low-revenue lines look efficient, which is precisely backwards when the low-revenue line consumes disproportionate attention.
A workable approach allocates only what is genuinely traceable and leaves the rest unallocated. You end up with contribution by line and one honest pool of shared cost, which is far more useful than a fully-absorbed number that nobody trusts.
The result is usually uncomfortable. In most portfolios a minority of lines carries the whole thing, and at least one long-standing line has been losing money for years with everyone assuming otherwise.
These three together are the signature. One on its own usually points somewhere else.
✓ Product profitability is quoted as a company-wide gross margin
✓ Nobody has discontinued anything in years
✓ Two people give different answers about the same product line
The move that usually makes it worse. Fully absorbing overhead into product lines, which produces a precise number built on an arbitrary rule and gets defended because it looks rigorous.
It is for you if you run or finance a fintech and product profitability is quoted as a company-wide gross margin. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a fintech. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Verrano Pay, a sample company profile used for testing rather than a customer — $84M net revenue, 28,000 merchants, $9.4B of payment volume.
Excerpt from a real Percision run · Quick Market Scan · sample company profile
The move. Scale lending book from $110M to $260M advances using existing distribution and data assets while maintaining charge-off rate below 9.0% covenant.
The leak it closes. Reduces 26% partner rev-share leakage by increasing merchant stickiness through lending relationship
The assumption it rests on. Platform partners maintain 180-day termination clauses without exercising exit — the engine put the probability at 0.7.
| Investment required | $0 incremental equity |
| Expected return | 4.5x |
| Revenue, year 1 | $24.1M lending revenue (30% growth) |
| Revenue, year 2 | $31.3M lending revenue (30% growth) |
| Revenue, year 3 | $40.7M lending revenue (30% growth) |
| Exit criteria | Terminate if charge-off rate exceeds 8.7% for two consecutive quarters OR if any platform partner terminates contract |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Matrix Strategy, one of 29 engagements the platform runs. For fintech companies it works through blended take rate, charge-off rate, contribution margin and CAC by channel, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Almost never for the decision at hand. Traceable costs plus an unallocated pool gets you the ranking, and the ranking is what you act on. Full ABC is a project that frequently outlives the decision that prompted it.
Say so explicitly and price the support. A loss-making line that genuinely pulls profitable revenue is a marketing cost with a name, which is a fine thing to be — as long as somebody decided it.
Annually, and after any significant mix change. The ranking is more stable than the numbers, so the exercise gets cheaper each time.
Materially, yes. Lending fixed the P&L and converts revenue worth a 7x multiple into revenue worth a 2x multiple — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are blended take rate, charge-off rate, contribution margin, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on blended take rate and charge-off rate. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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