QUANTIFY v3: Numbers That Land

When I started building QUANTIFY, I thought it was just about “adding numbers” to copy. Turns out, the problem isn’t missing stats. The problem is stats that don’t line up, repeat themselves, or make empty promises. Noise instead of proof.

So I built a single function that handles it all: QUANTIFY v3. One pool of truth. One system that decides which numbers go where, and forces every claim to come with receipts.

One Pool, No Redundancy

All sections pull from the same inventory: results, speed, certainty, cost, proof. If “<5 min response” shows up in the hero, it is the same in the CTA. No repeats. No contradictions.

Strict Where It Matters

Above the fold is capped: one number in the H1, two in the subhead. That’s it. Fewer numbers = heavier impact.

Proof or It Didn’t Happen

Every stat binds to evidence: reference, date window, N size. “Recover 4–6 hrs/week” only works if it is “across 148 teams, Q2 2025.” Without proof, it dies.

Determinism = Trust

Same inputs = same outputs. That makes it testable. You can A/B Result+Speed vs Result+Certainty and know why one wins. Every decision is logged. No guesswork.

Why It Matters

Pages don’t fail because they lack numbers. They fail because the numbers are sloppy. QUANTIFY forces discipline: one orthogonal, verifiable claim per section. The result? Pages that don’t just persuade, they feel inevitable.

⚡ Bottom line: QUANTIFY v3 isn’t a copywriter. It’s a cross-examiner.