Model every bidder,
not the three there was time to reprice.

Your methodology is already defensible. We run the same discipline across every bidder and every contract mechanic, and hold the trace back to source when a bidder disputes a finding in the room.

Bidder field × contract mechanics
30 cells
ABCDEAWP discountDispensing feeRebate floorSpecialty listExclusionsAdjudication
9

What a hand-run exercise reaches

21

Left to an assumption

The constraint

The limit is not rigor. It is how many cells fit in the hours.

Every additional bidder, and every additional mechanic within a bidder, costs hours to model by hand. So candidate lists stay short, and the long tail resolves to an assumption in an exercise where each bidder controls how their own terms get presented.

Repricing exercises based on past claims is one thing; determining the best partner and contract for the future is another.

National CooperativeRx, which also concedes that sophisticated repricing platforms “can overlook critical nuances or have underlying methodology issues”
Repricing games
documented

12 months of claims. Every bidder applies their terms to the same rows, on one template, without altering the data.

Repriced at current list prices

rather than prices contemporaneous with the claims period

bidder looks better

Rebate guarantee on a narrow drug list

quoted against a broad portfolio

bidder looks better

High-cost claims missing

carve-outs and alternative funding vendors excluded from the file

bidder looks better

Discount-card distortion

cash-card fills reported inside the guarantee

bidder looks better
3–6

bidders in a typical PBM RFP, ideally including at least one pass-through model so structures can be compared, not just prices

Milliman, PBM Best Practices Series; Prescription Benefit Solutions

12 mo

minimum claims detail the standard exercise requires

Real RFP instructions enforce this at the threat of disqualification

3–5 yrs

between full RFPs per client, which makes the annual market check the recurring deliverable

Nixon Peabody; Milliman

Methodology

What actually happens to the contract.

The contract becomes executable rules, and the rules run against the claims. Nothing here summarizes the document or forms an opinion about it.

01
rebate ≥ floor × gen_rate

Contracts compile

Definitions, discount tiers, dispensing fees, rebate mechanics, exclusions, carve-outs and adjudication order become executable logic. Terms that do not resolve to one rule are flagged rather than guessed.

02
RX-48291$118.40
RX-48302$94.10
RX-48314$212.75
27.4k rows

Claims price line by line

Every bidder's rules run against the same claims, at prices contemporaneous with the claims period rather than at current list.

03
§2.14
reading 1$74K
reading 3$338K

Ambiguity gets priced

Where a term admits more than one reading, we price every reading and report the spread. That is a finding, not a caveat, and it is not a price study.

04
−$486K
§4.2(c)
RX-48291 …

Every step holds a trace

Each figure resolves to the contract line, the clause and the claim rows that produced it. Same inputs, same output, every run.

What you can defend

Built for the moment a bidder pushes back.

The output has to survive scrutiny with the vendor in the room. That constraint shaped it.

Trace
§4.2(c)
Rebate guarantee credit−$486K
Governing rule
credit = Σ(claims where generic_rate ≥ floor) × rebate_per_script

Compiled from the clause text itself.

Claims underneath27,400 evaluated
RX-48291Autoimmune biologic$118.40

Every claim in the population opens the same way.

Same inputs, same output, every run.

Deterministic, not probabilistic

The contract is compiled to logic and the logic is executed. There is no model forming an opinion about what a clause probably means, so the same contract and claims return the same number every time.

Clause-level trace on every step

Each figure resolves to the clause, the contract line and the claim rows that produced it. It is a trace, not a citation to the document. When a bidder disputes a finding, the trace is the response.

Full coverage of the bidder field

Every bidder and every mechanic, including the ones that would have been assumed away. The marginal cost of one more bidder goes to roughly zero, which is what changes about your candidate lists.

Priced ambiguity as a separate finding

A repricing platform prices claims against a database of rates. This prices the readings a term admits when it does not resolve. Different question, different output, different negotiating leverage.

RFP and market-check clocks

Where this lands in your engagement.

Two recurring motions, not one, on very different clocks.

One client, five years
cadence
Yr 1Yr 2Yr 3Yr 4Yr 5
the engagement

Your relationship: continuous, and judged every year.

check
check
check
check
check

Market check: newly proposed rates against prior-year utilization. No RFP, no bidders.

full RFP

Full RFP: the visible deliverable, and the rarest one.

Also on the calendar
  • An RFP engagement is won

    The repricing work is now scoped and resourced against a fixed fee.

  • The annual market check

    Newly proposed rates applied against prior-year utilization. Recurring, and it needs no RFP.

  • A bidder disputes a finding

    The trace back to contract language gets tested in front of the client.

  • A capacity ceiling

    More RFP demand than senior analyst hours can cover without adding headcount.

  • An indefensible model

    A junior analyst's output produces a number the principal cannot fully stand behind.

  • A question about undefined terms

    A client asks what the ambiguity in their current contract is worth, which a rate study cannot answer.

Coverage, determinism and repricing

What we expect you to interrogate.

On coverage, not capability. Your methodology is sound; the constraint is that every bidder and every mechanic you model has marginal cost, so the field stays short and the tail gets assumed. This removes the constraint, which is a different claim from doing your work faster.

The contract is compiled into executable rules and those rules run against the claims. Same contract and same claims produce the same number every time. Nothing here is a model's opinion, and every step resolves to the clause that produced it, which is the part that matters when a bidder is arguing with you.

Two questions worth putting to your last analysis: how did it define the specialty list, and which terms in the contract were undefined? And what was that worth? If it answered both, you are in good shape.

That is the right objection, and the one we take most seriously. A repricing platform prices claims against a rate database, so it can only be as right as that database. Priced ambiguity asks something else: when a term does not resolve to a single rule, what does each reading cost? That is not a finer price study.

They are reported as unresolved and priced across their readings, never silently defaulted. An assumption that disappears into a total is the failure mode this exists to remove.

What you send

Bring one bidder field.

Send the claims file and every bidder's contract, including the ones there was no time to reprice by hand. Then check the trace on any number you doubt.

Send one file and one contract.

If it is easier to test on something you already know the answer to, send a completed engagement and compare.

Start with one contract