Where Should We Invest Next?
in Insurance Brokers

The short answer

Capital allocation goes wrong when the commission book that renews without effort absorbs the next dollar instead of the line whose return on incremental spend stays highest after the 142-account replacement cost. What makes this harder for insurance brokers is structural: 71 percent of revenue flows through carrier commissions while shifting an incremental 8 percent to fees would require replacing 142 renewal accounts and cut near-term margin by 1.8 to 2.3 points. Any credible answer therefore has to hold 19.0 and 91.2 in the same view, which is exactly where most internal analysis stops because the two live in different systems.

Allocation follows the renewal book and the producer who brings the largest standard commissions, so the 71 percent carrier commission share keeps receiving the increment while fee-based lines stay small even when they would lift total revenue above 47.8 million dollars.

Each line must be ranked on return on the next dollar after the 1.8 to 2.3 point margin reduction from moving to fees and on how long that return holds before renewal retention falls, because a line that clears 19.0 this year but drops to 31 retention in two years differs from one that sustains 91.2 durability over the same period.

The output is a sequence with a stopping rule, not a budget split: which line receives the first dollar, what captive feasibility or risk-control work it funds next, and the observation on 664 accounts that would show the sequence is wrong.

How to tell this is actually your problem

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

✓ The renewal retention report shows the same accounts funding the same standard commission lines each quarter with no change in mix.
✓ No one can produce a ranking of lines by return on incremental investment after the fee-shift margin impact.
✓ Investment cases are defended by reference to contingent commissions or strategic importance rather than by the arithmetic on 91.2 versus 31.

The move that usually makes it worse. Spreading the next dollar evenly across contingent commissions and standard commissions to avoid producer conflict, which leaves the line that would have compounded after 142 replacements permanently underfunded.

Who this is for — and who it is not

It is for you if you run or finance an insurance broker and budgets are set by last year plus a percentage. 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 an insurance broker. 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 Kesterline Risk Partners, a sample company profile used for testing rather than a customer — 47.8 million dollars in total revenue from commissions and fees.

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 Growth Portfolio Framework, one of 29 engagements the platform runs. For insurance brokers it works through 19.0, 91.2, 664 and 31, 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 do I compare investments with different time horizons?

Price the durability explicitly. A return that decays needs a stated half-life; once each option carries one, options with different horizons become comparable rather than a matter of taste.

Should I invest in the strongest part of the business or fix the weakest?

Usually the strongest, because that is where a marginal dollar compounds. Fixing the weakest is worth doing when it is a constraint on the strongest, and not otherwise.

What if the numbers are close?

Then decide on reversibility. When two options return similarly, take the one you can stop, because the value of the information you buy exceeds the difference in the estimates.

Is this different in insurance brokers than in other industries?

Materially, yes. 71 percent of revenue flows through carrier commissions while shifting an incremental 8 percent to fees would require replacing 142 renewal accounts and cut near-term margin by 1.8 to 2.3 points — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 19.0, 91.2, 664, 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 an insurance broker?

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 19.0 and 91.2. 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.