Problems › Margins Are Shrinking › Banks & Financial Services
Margin rarely falls because costs rose. It falls because mix changed and nobody repriced. This page works through it for banks and financial services firms specifically — including an unedited excerpt from a real analysis of a bank.
Margin rarely falls because costs rose. It falls because mix changed and nobody repriced. Banks and financial services firms carry a specific bind here — the branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement. Until that is priced, efficiency ratio will keep moving for reasons nobody can attribute, and the debate about gross margin by product will stay a matter of opinion.
A shrinking margin has three possible causes and they call for opposite responses. Input costs rose and price did not follow. Mix shifted toward the things you sell at a worse margin. Or cost to serve rose invisibly — more support, more customisation, more rework — inside customers whose price never changed.
The third is the most common and the hardest to see, because it never appears as a cost increase. It appears as the same revenue requiring more of the business to deliver it. Blended margin hides it completely: two customers at 45% and 15% average to a perfectly respectable 30%.
Which is why the first useful step is almost never a cost programme. It is disaggregating margin by product, by customer and by channel until the average stops lying to you.
These three together are the signature. One on its own usually points somewhere else.
✓ Revenue is up and profit is not
✓ Margin looks fine in aggregate and nobody can name the margin on a specific account
✓ Discounting has become routine at the close of a quarter
The move that usually makes it worse. Running an across-the-board cost reduction, which cuts hardest into the profitable half of the business because that is where the capacity sits.
It is for you if you run or finance a bank and revenue is up and profit is not. 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 bank. 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 Harborline Financial Group, a sample company profile used for testing rather than a customer — $3.1B commercial lending book, $410M of deposits.
Excerpt from a real Percision run · Cost Reduction & Efficiency · sample company profile
The move. Turn the 71% overlap into a sticky, data-driven treasury platform that raises switching costs and extends the relationship moat.
The leak it closes. Reduces operating-account attrition risk by raising switching costs; offsets 34%→22% non-interest-bearing share decline
The assumption it rests on. 50 pilot customers will adopt SaaS at $180–$420/month within 90 days of launch — the engine put the probability at 0.75.
| Investment required | $2.4–3.0M development (6 FTE × 24 months) + $0.8–1.2M 2027 core-migration integration = $3.2–4.2M total |
| Expected return | Risk/Reward 7.4×; NPV $3.1–4.2M on $3.2–4.2M investment within 5 years |
| Revenue, year 1 | $180K MRR (50 pilot customers) |
| Revenue, year 2 | $720K MRR (200 customers) |
| Revenue, year 3 | $1.8M MRR (500 customers) |
| Exit criteria | Kill the move if pilot converts <25 customers or MRR <$60K by Month 9; reallocate remaining budget to SBA 7(a)/504 desk or insurance referral partnership |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Cost & Margin Improvement, one of 29 engagements the platform runs. For banks and financial services firms it works through efficiency ratio, cost of funds, origination per banker and deposit concentration, 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.
Price, if the analysis shows your realised price has drifted below the value you deliver — it arrives on the next invoice and requires no new customers. Cost, if the problem is cost to serve rather than price. Doing both at once makes it impossible to tell which one worked.
You do not need one. Take the ten largest customers and allocate the obvious variable effort — support hours, delivery exceptions, custom work, payment terms. The ranking is almost always clear long before the numbers are precise, and the ranking is the decision.
No. Deliberately buying share with margin is a strategy. The problem is drifting into it without deciding to, which is what almost always happens, because each individual discount is defensible and the pattern is invisible until the year closes.
Materially, yes. The branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are efficiency ratio, cost of funds, origination per banker, 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 efficiency ratio and cost of funds. 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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