Called It

Rehearse the message you can only send once.

Before you announce a price change, find out how each of your customer segments will actually react — which ones absorb it, which negotiate, and which quietly lapse two months later.

The problem

A price increase is a one-way door. It goes to every customer at once, it cannot be recalled, and the person writing it is guessing about how eight different segments will read the same paragraph.

The conventional way to reduce that risk is pricing research at $10,000 to $40,000, on a timeline that usually outlasts the decision.

How it works

1 — Your segments, not generic ones. Archetypes are built from your billing export, your last twelve months of churn reasons, and support tickets from your previous increase.
2 — The panel reads the announcement. Each archetype returns its predicted response, its objections, and — the part you actually pay for — what would retain it.
3 — Objections are ranked by revenue, not headcount. See below. This is the part a generic panel cannot do.
4 — Every prediction is logged before you send. Ninety days later the outcomes get marked against what actually happened.

Why revenue weighting changes the answer

Count objections by how many segments raise them and you get one instruction. Weight them by the revenue those segments carry and you frequently get the opposite one.

Segment	Share of accounts	Share of revenue
Procurement gatekeeper	6%	20%
Price-sensitive SMB	22%	4%

By headcount, the SMB objection looks nearly four times more important. By revenue, procurement matters five times more. Same panel, same output, opposite advice to the person signing off.

The weights come from your billing data. Nothing here lets a language model assert a number.

The record

Anyone can generate plausible objections. The thing worth paying for is knowing whether they were right — so every prediction is written down before the announcement goes out, and scored afterward against what happened.

Being straight about this: the public accuracy record does not exist yet. Sixteen predictions are logged and none have been marked, because no simulation has yet reached its ninety-day outcome window. When the record exists it will be published here in full, including the misses. Until then, treat this as a commitment rather than a track record — and price the engagement accordingly.

Design partners

Five slots. No charge. A full simulation of your next price change, built on your own segments — in exchange for permission to mark the outcomes at ninety days and publish the result as a case study.

You get the analysis and the retention recommendations. The record gets its first real entries. If the predictions miss, that gets published too.

Take a slot