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Tactical · prose B15 For Buyers · Carrier Premium Mapping

Loss-ratio blending — the 60% gate on the combined book.

The carrier premium map's most dangerous line is the loss ratio, because the 60% contingency gate is binary and it applies to the combined book at the agency-code level. Blend a high-loss acquired book into a clean one and the gate can spring — forfeiting contingency on the whole merged book, not just the acquired piece.

Tier-jumping is the upside a carrier premium map reveals; loss-ratio blending is the downside it must check first. The contingency gate is binary and merciless — and crucially, it's applied to the combined book at the agency-code level, so a high-loss acquired book doesn't just lose its own contingency, it can drag the buyer's clean book over the gate and forfeit contingency on everything. The map is where a buyer catches this before merging the codes.

§ 01 · The 60% gateBinary, at the code level.

Combined loss ratioContingency outcome
59%Qualifies fully
61%Forfeits all contingency — no partial credit
Enforcement levelAgency code — carrier blends consolidated books before applying the gate

The 60% loss-ratio gate is the standard contingency ceiling, and two features make it dangerous. It's binary — 59% qualifies fully, 61% forfeits all contingency with no partial credit, so the gate is a cliff, not a slope. And it's enforced at the agency-code level — if two agencies' books report under one consolidated carrier code, the carrier blends them before applying the gate. That second feature is the whole trap: a buyer's clean 40% book and a target's high-loss book, merged under one code, are tested as a single blended ratio. So the code-architecture decision (consolidate versus keep separate) directly controls whether the trap can spring, which is the subject of agency-code architecture. The premium map's job here is to model the blended ratio per carrier before the codes merge.

§ 02 · The blending scenariosWhere the trap springs.

Journal axiom · 1 of 2

The trap springs on volume-weighted blending. A $10M buyer at 40% absorbing a $2M target at 80% blends to 46.7% (safe); even a $2M target at 110% blends to 51.7% (safe). But a $5M target at 110% blends to 63.3% — over the gate — forfeiting contingency on the entire combined $15M book. The result is negative synergy: the combined entity less profitable than the two standalone agencies the day before closing.

The blending math is what the map computes, and it shows that the danger is volume-weighted, not just loss-ratio-weighted. A buyer at $10M and a 40% loss ratio has enough clean premium to absorb a small high-loss book: a $2M target at 80% blends to 46.7% (paid claims $5.6M ÷ $12M premium), and even a $2M target at a brutal 110% blends to only 51.7% — both safely under the gate. The trap is when the high-loss book is large: a $5M target at 110% blends the combined $15M to 63.3%, over the gate, and contingency is forfeited on the entire merged book. That's the negative-synergy phenomenon — the combined entity earns less contingency than the two agencies did apart, the day before closing. A buyer who runs the blend on the map sees it; one who credits the tier-jump without checking the gate books a synergy that the gate erases. The synergy-lens framing of this trap is in the loss-ratio trap.

§ 03 · Three trap patternsHow a clean ratio hides it.

The trap is dangerous because a clean book-level loss ratio can hide it, and three patterns are the usual culprits. The concentration trap — a clean overall ratio masks one carrier (say 35% of premium) running at 85%, so the agency-level number looks fine while the carrier-level number is over the gate. The volume-imbalance trap — at a carrier where the target dominates the premium weight, the target's loss ratio effectively becomes the combined ratio, so the buyer's clean book can't dilute it. And the pending-claim trap — a large reserved-but-unpaid claim doesn't yet hit the paid loss ratio, but it's the carrier's own forward forecast, so it springs the gate next year. A reserved claim over $100,000 deserves a documented narrative (claimant, event, expected resolution timing), because a single large reserve can tip the next year's ratio over the gate. The map has to be built per carrier, not just at the agency level, to catch all three.

§ 04 · The loss-run disciplineWhat to pull, what it must show.

Catching the trap requires the right data: carrier-issued loss runs covering 3–5 years, from every carrier writing 5%+ of the book (a lower threshold for concentrated books). The mandatory columns are paid claims, reserved claims, claim frequency, the 3-year trend, and carrier commentary — because the reserved column and the carrier's commentary are where the forward-looking risk lives, invisible in a paid-only ratio. With those loss runs, a buyer builds the combined loss ratio per carrier and tests each against the 60% gate before deciding how to architect the codes, which is the only way to see the concentration and volume-imbalance traps. The discipline is straightforward but non-negotiable: pull the loss runs early, model the blend per carrier on the premium map, flag any reserved claim over $100K, and let the gate test drive the code-architecture decision. Skip it, and the tier-jump synergy the map promised can be erased by a gate the buyer never modeled. The lookback discipline behind the loss runs is in the three-year lookback.

Terminology on this shelf

The 60% gate
The binary contingency ceiling — 59% qualifies, 61% forfeits all, no partial credit.
Agency-code enforcement
The gate is applied to the blended book when two agencies report under one code.
Negative synergy
The combined entity earns less contingency than the two standalone agencies the day before closing.
Three trap patterns
Concentration (a hot carrier hidden in a clean average), volume imbalance, and pending claim.
Reserved-claim narrative
Any single reserved claim over $100K warrants a documented forward-looking narrative.
Loss-run discipline
3–5 years from every 5%+ carrier, with paid, reserved, frequency, trend, and commentary columns.

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