3,355
quotes analysed in one diagnostic
Client work — a Christchurch trade business
Selected work Evidence, not adjectives
Live systems, measurable evidence and the operating layer underneath each outcome. Our own businesses go first because the consequence is ours.
Case studies
One diagnostic, one Christchurch trade business. The numbers below are what we found for them — a client outcome, not our own operating data.
3,355
quotes analysed in one diagnostic
Client work — a Christchurch trade business
61.2%
win rate across the ledger
Client work — a Christchurch trade business
$1.59M
a year in lost-quote exposure, quantified
Client work — a Christchurch trade business
Client engagement — a Christchurch trade business
Live customer quotes were analysed to expose the commercial pattern beneath the quoting result. No survey, no workshop — the ledger itself.
They keep the analysis: a 24-month quote-ledger model, delivered as an interactive dashboard.
Proof before promise
Every figure below comes from a business we operate. If the model is wrong, we pay for it before you do.
1,380+
clients behind the coaching model
Leads arrive already scored. Conversational questions, audience signals and hardened endpoints route intent into a personalised 0–100 score, so first contact starts at question nine.
Provisional Our own business
Longest running
5.0★
across 1,000+ Google reviews
Engineered to be the answer. One source of truth fans into structured schema, suburb pages and a durable library, so a standing machine can verify what we claim.
Own-business production evidence
32
voice and claims rules run on every page
Owning the AI answer in a regulated vertical. Schema builders, comparison content and a voice linter run against the site before release. A page that breaks the rules fails the pass.
Own-business production evidence
Inception Gym, in three states. The same business, before and after the layer beneath it was rebuilt.
Our own business — Inception Gym
Locations, hours and offers could drift wherever the same fact was written twice. Now business data compiles into JSON-LD schema, suburb pages and AI-readable files in one pass.
Review figures render only when the live source supports them. If it can't be verified, it doesn't ship.
How we stand behind a number
01
Name the outcome, the metric and the source before showing the result.
02
Capture events at the source and keep the pipeline transparent.
03
Reconcile the evidence, remove noise and mark status clearly.
04
If it is on this page, we built it and we stand behind it.
Bring the operating reality
You do not need to know the system yet. Bring the evidence, the friction and the consequence. We will help you find the first useful move.
Or write to hello@substrate.co.nz