Should We Raise Our Prices?
in Banks & Financial Services

The short answer

The question is never whether to raise rates or fees in general. It is which deposit segments and loan products, by how much, and what origination volume or deposit beta you expect to lose. The version of this question that applies to banks and financial services firms is not the generic one. The branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement — so an answer that ignores efficiency ratio will be confidently wrong. The analysis has to start from cost of funds and origination per banker rather than from revenue.

Rate and fee changes are the fastest lever in any bank because they require no new branches, no hiring, and no product development, and they appear in the next reporting period. They are also the lever operators touch last, which is why margin compression from underpriced commercial loans and low-beta deposits is more common than the reverse.

A useful rate analysis does not produce one target margin. It produces a segmentation: which commercial borrowers sit below the risk-adjusted return they generate, which deposit relationships already sit at the ceiling of what the relationship can bear, and where origination per banker shows pricing being set deal by deal rather than by policy.

The uncomfortable part is that a good rate change deliberately loses some price-sensitive depositors and borrowers. If the change costs you nobody, it was too small.

How to tell this is actually your problem

These three together are the signature. One on its own usually points somewhere else.

✓ Nearly every commercial loan request is approved and funded at the quoted rate with little negotiation.
✓ Fee waivers and rate concessions appear on most new originations and are applied differently by each banker.
✓ Net interest margin has stayed flat or declined while the efficiency ratio has risen and cost of funds has increased.

The move that usually makes it worse. A uniform rate increase across the entire lending book, which compresses volume from the price-sensitive segment while still leaving the strongest relationships underpriced.

Who this is for — and who it is not

It is for you if you run or finance a bank and almost every deal closes, and closes quickly. 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.

What this looks like when the analysis is actually run

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.

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Pricing & Revenue Optimization, 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.

Questions people ask about this

How much can I raise prices without losing customers?

There is no general answer, and the useful analysis is per segment. What can be said is that the loss you fear is usually concentrated in a group whose economics you would improve by losing them.

Should I raise prices for existing customers or only new ones?

New first is safer and slower; existing is where the money is. A defensible sequence is to move new-customer pricing, watch win rate for a quarter, then bring existing customers up at renewal with notice.

What if my competitors are cheaper?

Then you are selling against them on something other than price, or you are not — and that is the real question. Competing on price without the cost structure to support it is the most reliable way to lose money at increasing volume.

Is this different in banks & financial services than in other industries?

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.

What data do I need before this analysis is worth running for a bank?

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.

When is Percision the wrong tool?

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.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

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.