Approving budget feels like a neutral act. It is not. It is the moment you authorise exposure.
The request lands with a plan, a forecast and a confident channel mix. What it does not come with is evidence that the funnel the money flows into can convert trust into revenue. Sign without that, and you have funded a hypothesis.
The real risk at approval
The spend amplifies whatever the funnel already does, including its leaks. The forecast assumes a conversion rate the funnel has never been measured against. Performance is reported after the fact. If it fails, the decision looks like preference, not due diligence.
What happens if you skip the check
You scale spend into conversion instability and call it creative. You fund the wrong milestone and call it strategy. The loss shows up as a CAC that keeps climbing and a result nobody can explain.
The standard before approval
Before marketing capital is committed, the funnel should pass Marketing Due Diligence. RAMMP is a patented quantitative behavioural diagnostic of trust in the buying journey, run before marketing budget is committed. Patent granted in Australia (AU 2021105053); patent pending in the United States. It scores trust across the six ADORE checkpoints and returns a single Brand Trust Score and a STOP, KEEP, FIX, PROVE verdict.
STOP / KEEP / FIX / PROVE
- —STOP approving spend into a leaking checkpoint.
- —KEEP funding what converts.
- —FIX the failing milestones, capped.
- —PROVE the lift with a re-score before the full budget releases.
Approve only when
The funnel has been scored, the leaking checkpoints are addressed, the forecast rests on measured trust, and you can defend the decision as due diligence.
Optimisation is not governance
Optimisation tunes a funnel that already works. Governance decides whether to fund it at all. The diagnostic measures whether the next dollar should move.
Close
If you are being asked to approve budget, you are being asked to authorise exposure. Measure it first. Organisations that measure trust before they spend get chosen, by AI and by humans.
The standard behind this → Pre-Spend Diagnostic
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