Journey Based Measurement · Worked example
Tourism Fiji doesn't need a new platform. It needs the one you have — Where Happiness Comes Naturally — to convert. This is what our measurement system would look like pointed at your funnel: the leaks we've already found, and the dashboard you'd track them on, month over month.
The operating rhythm
We start with your target, work backward to the data, find the opportunity, and every month we measure whether we moved the needle. Not every move does — the system finds what works cheaply, then we push it hard.
Pull your full digital footprint into one customer-journey model. Baseline every stage.
Locate where the journey leaks and which fix moves a commercial target.
Test the highest-leverage fix — SEO, GEO, CRO, CRM — smallest bet first.
Attribution shows what worked. Keep it, scale it, or drop it. Repeat.
The map · Fiji today
Every finding below is from our public audit of fiji.travel — no access to your analytics needed. Each leak is a measurable target, and the RFP already sets the number.
Where we'd start
Iterative, not rip-and-replace. We'd test these before anything expensive, because each moves a named target and needs no rebuild.
Add + track operator and Fiji Airways lead journeys so the biggest KPI is finally measurable. Attribution before optimisation.
Connect inspiration pages to booked-intent capture and a working offers layer — the dream-to-book bridge.
GEO + SEO on the inspiration and comparison demand Fiji ranks zero for, so fiji.travel enters the answer.
Trade a seasonal guide or planner for the sign-up; progressive profiling to grow the database toward 80k.
The instrument
A single view of every RFP target, the channel driving it, and where AI is (or isn't) recommending Fiji. Baselines and targets are your real RFP numbers; progress and the GEO scoreboard are illustrative until connected.
Goal-first. Every tile is an RFP §7 target. Progress bars sample only — populate with live GA4 / CRM / lead data on connection.
Share of voice by job, vs rival destinations · 7 engines, AU/NZ/US · illustrative pending the live LLMRefs run
Where measured lead value originates · illustrative sample
The point of the panel isn't the numbers — it's that every one becomes knowable once the journey is instrumented. Today, most of this is invisible.
Goal-first
Your page-10 targets, each mapped to the fix and the audit evidence behind it. Financial-year phasing to confirm.
| Target | Baseline → target | Our lever | Evidence |
|---|---|---|---|
| Leads · operators + Fiji Airways | 48,492 → 75,000 | Instrument + connect lead paths; attribution. Connect the funnel | No Fiji Airways link; untracked paths |
| Database signups | → 80,000 | Value-exchange signup; progressive profiling. Grow & know | 7-field form, no incentive |
| Website sessions | 13.4m → 20m | GEO/SEO on category + NA inspiration demand. Own the answer | Absent from category demand |
| Unique visitors | 7.7m → 14m | Reach new markets/segments via GEO. Own the answer | NA discovery invisible |
| Conversion rate | baseline + lift | Test–measure–learn CRO on the funnel. Connect the funnel | Orphaned funnel |
| Sentiment + consideration | ≥3% / market | Own cultural-depth + stewardship narrative in AI. Own the answer | AI reproduces "beaches + friendly" |