00
A questionnaire that turns people away
A multi-step enquiry funnel that branches on the answers and shows unsuitable prospects out politely, instead of collecting them.
← All layers
00Layer 00
Enquiries that fit you — and only those.
Every enquiry that could never have closed costs advisory time. Worse, it corrupts the ad platform's learning signal, because the platform books it as a success and buys more of the same. So the funnel starts with the hardest question in the whole project — who do you actually not want?
What gets built
01
Quality checks in three tiers
It distinguishes between obviously unusable, suspicious and usable. Anything suspicious goes into quarantine and gets reviewed — never silently discarded.
02
Measurement that survives without consent
A dedicated funnel telemetry counts every step anonymously, with no personal reference and nothing stored on the device. It therefore shows drop-offs even where marketing tracking was declined.
03
Visibility and advertising
Landing pages, campaigns on Google, Meta, TikTok and LinkedIn, search and answer-engine optimisation, plus creative production — with real people in a studio or AI-generated, as required.
We do not build an enquiry funnel without the system behind it — otherwise we produce exactly the problem we are there to solve.
What it does not do
- The funnel replaces neither advice nor any professional judgement.
- The telemetry replaces neither web analytics nor consent management.
What you bring
A clear statement of who you do not want. In practice this is the hardest question in the project — and the one that makes the biggest difference.
How the work is done
Four construction decisions that were actually made this way in the system — open to questioning, not merely claimed.
No number beats a wrong number
Where the data doesn't support an answer, the system hands the case to a human instead of guessing.
Nothing is discarded silently
Anything suspicious is flagged and reviewed, not deleted. A genuine enquiry dropped in silence is the most expensive mistake such a system can make.
Automation commits to nothing
No assistant promises a price, no report changes an ad account. The model explains, the human commits.
Handover-ready from day one
Documentation is enforced, not written on the side. An outside developer understands the system in two days.
Does this fit?
It starts with a conversation about the goal, the scope and what is realistic. If the system doesn't fit, that is said at the end of that conversation — not in an invoice.