What an offer pre-check cannot see

It is worth being precise about what this class of tool does, because the gap is where expectations break — and in promotional pricing, broken expectations get measured in campaigns that get challenged after they have already been seen by thousands of customers.

What it catches

Patterns and arithmetic that published guidance can be quoted against: former-price vocabulary ("was", "regularly", "compare at", "list price") with the reference price extracted from the actual text; discount-percentage claims recomputed against the parsed price pair, with a tolerance band so that rounding differences on display prices are not flagged as contradictions while real detachments ("90% off" on a 76% discount) are; "free" constructions whose disclosed conditions are missing or contradicted by the price movement around them, per the pattern documented in §233.3; scarcity and urgency asserted as fact ("only 3 left", "today only", "while supplies last") ranked by how categorical the claim is phrased; and material-terms context — where a quantified or absolute claim appears in a marketing frame versus an informational one, escalating severity accordingly. The price parsing handles both US thousands-comma and EU decimal-comma money formats, and when a price pair cannot be parsed at all, the arithmetic check is skipped and the report says so — an unparseable claim is never silently guessed. These are checkable against the pasted copy, so they are checked against the pasted copy — deterministically, with quoted evidence for every finding, and the same result every run. The reference lists are derived from the factors documented in the Guide Against Deceptive Pricing (16 CFR Part 233) and the deception policy at Part 251, snapshot-dated in the engine version rather than claimed to be live-synced.

What it cannot catch

• Clean math and a fabricated history. A draft can pass every arithmetic check — "Was $120, now $90, save 25%" computes perfectly — and still be deceptive if the item was never openly offered at $120 for a reasonable period, which is the exact representation §233.1 cares about. No parsing makes an invented reference price true.
• The price history itself. Your actual prior offerings, the duration at the reference price, and the bona fide market at any "compare at" figure decide most real-world exposure. None of it lives in the pasted text, and none of it is looked up: OfferPrecheck never connects to your store, your marketplace account, or any price-tracking service. An honest pre-check lists substantiation as an advisory checklist item and explicitly refuses to claim it verified it — pretending to check ledgers you cannot see is how tools become noise.
• The inventory behind the urgency. "Only 3 left" is checkable as a claim; whether three are left is a warehouse question. Same for "today only" against an auto-renewing countdown. The scan sees the sentence, never the system behind it.
• The rest of the program. Which jurisdictions your customers sit in, what your ad platform's own commerce policies say about strikethrough pricing, and whether the landing page delivers the price the ad promised all sit outside the paste. A plain-text scan of what you typed cannot see what the storefront actually rendered.
• The reviewer's private mind. Enforcement — by an agency, a marketplace, or a platform's ad review — runs on discretionary models nobody publishes. The guides describe the neighborhood; the exact weighting of intent, materiality, and remedy is not a formula. The same sentence draws a warning for a first-time storefront and a takedown for a repeat one. Nobody — least of all a word-list engine — gets to promise what the final reviewer will do.

Why the boundary matters

A tool that claimed legal compliance would be claiming something nobody outside the regulator can deliver, and merchants would find that out at the worst possible moment — mid-campaign, with the promotion live. Stating the limit up front is what lets the check get trusted for the things it genuinely knows: that the sentence matches a published factor, that the percentage contradicts the pair beside it, that the fix is a rewrite or a disclosure, not a dice-roll. The honest claim is narrower and more useful than the fake one: a scored pre-check moves the odds, per sentence, before publishing. The human marketer stays exactly where an offer pre-check should leave them — holding the context the machine cannot see: the history, the inventory, the market, the offer.

How to use the boundary productively

A pre-check is the first layer of a pricing-governance stack, not the whole stack. Layered deliberately, each layer covers what the one before it cannot: the mechanical scan catches published-factor patterns and arithmetic detachments at draft speed; the substantiation pass — run by you, in your own order history, because this tool deliberately never does it — confirms every "was" number was openly offered for a real period; the inventory pass confirms that any stated scarcity or deadline is what the fulfillment system will actually honor; the disclosure pass confirms "free" and "up to" claims carry the conditions the guides expect; the legal pass owns jurisdiction interpretation, including the EU, UK, and Australian consumer-law regimes this build flags only as context advisories — their primary texts were unreachable from the environment that produced the rule set, and the exclusion is documented in the same public registry the US guides came from, referenced from the sources log. Buying these layers separately is how most serious teams already operate — the mistake is treating any single layer as covering the others. The scan's job is to make sure you never bring a known, mechanical, avoidable problem into the expensive layers.

The correct mental model

Treat a pre-check the way pilots treat the before-takeoff checklist. It does not make the flight safe; it catches, mechanically and repeatably, the handful of items whose omission turns a routine departure into an incident. The judgment — is this reference price real, is this stock claim true, is this offer a good send today — remains entirely human. An offer pre-check is a pricing-factor scan with memory: every draft gets the same published patterns and the same arithmetic applied, every time, at paste speed, and every finding cites the sentence it came from. It is decision support, not a decision. Anyone selling the decision is selling something that does not exist. The teams that get the most from a bounded tool keep the boundary visible: scan early, escalate what the scan flags, and hold the judgment the scan deliberately declines to make.

Heuristic pre-check only — not a pricing-law certification or legal advice. Challenge and enforcement outcomes depend on regulators, marketplaces, and platforms; whether a reference price or scarcity claim is true cannot be measured from the pasted text; regulated-pricing questions belong to a lawyer.