Problems › We Cannot Tell If the Strategy Is Working › Insurance Brokers
A strategy that names neither the required shift from carrier commissions to fees nor the renewal accounts that must be replaced cannot be checked, and most broker strategies are written so that they cannot be wrong. 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.
A strategy that names neither the required shift from carrier commissions to fees nor the renewal accounts that must be replaced cannot be checked, and most broker strategies are written so that they cannot be wrong. 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.
The usual reason a strategy cannot be evaluated is that it was never stated in a form that could fail. 'Grow fee revenue' or 'improve risk-control' produces no observation that would contradict it, so the plan survives indefinitely even when the CFO sees 47.8 million dollars in total revenue from commissions and fees staying flat.
A checkable strategy names the mechanism — this action on captive feasibility or standard commissions produces this change in renewal retention by this date — and the observation that would say the mechanism is not working. That second half is what converts a plan into something the CFO can manage against using the actual numbers.
The other frequent cause is lag. Strategies operate on horizons longer than reporting cycles, so the honest response is to identify leading indicators that move early and to state in advance what they should read on the 19.0, 91.2, 664 and 31 metrics.
These three together are the signature. One on its own usually points somewhere else.
✓ The written plan contains no sentence that states what reading on renewal retention or contingent commissions would prove the chosen path false.
✓ Weekly or monthly reports list completed risk-control visits and captive feasibility studies without any tie to the accounts that must be replaced or the margin impact.
✓ The CFO and producers hold differing views on whether the commission mix is moving, and no shared data set resolves the disagreement.
The move that usually makes it worse. Adding more reporting on completed activities, which increases the volume of numbers without making the required commission shift or account replacement falsifiable.
It is for you if you run or finance an insurance broker and the strategy has no failure condition written anywhere. 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 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.
Excerpt from a real Percision run · Pricing Strategy · sample company profile
The move. Convert 460 commission accounts to fee retainers, funding a $3-5M digital workbench from productivity gains while staying inside the $4.8m investment ceiling.
| Investment required | $3.0-5.0M total (base $3.0M, upside $5.0M for accelerated digital workbench) |
| Expected return | 3.2-4.8× over 36 months on $3-5M investment, based on +$4.2-8.5M incremental fee revenue at 35-45% gross margin versus current 19% operating margin. |
| Revenue, year 1 | $50.1-51.8M total revenue (+$2.3-4.0M incremental fee) |
| Revenue, year 2 | $54.4-57.9M total revenue (+$6.6-10.1M incremental fee) |
| Revenue, year 3 | $58.2-64.8M total revenue (+$10.4-17.0M incremental fee) |
| Exit criteria | Strategy should be reversed if, within 12 months, pilot conversion rate falls below 15% OR incremental churn exceeds 5% OR producer productivity drops below $600k average; OR if, within 24 months, cumulative fee revenue does not reach $6.6M incremental run-rate. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Proprietary EFF Methodology, 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.
The mechanism it depends on, not the outcome it promises. Outcomes lag; mechanisms move early and tell you sooner whether the causal claim holds.
Decide before starting, and tie it to the mechanism's natural cycle. Deciding afterwards guarantees the timeline is chosen to fit whatever result arrived.
That is usually a sign the strategy was not specific enough to produce a clean test. Narrow it until one number would settle the argument.
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.
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.
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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