Regional Destination Intelligence Program
Destinations are data-poor. Operators rarely share commercial performance, so RTOs and DMOs steer on lagging indicators like arrivals and bed nights. This program builds a trusted, anonymised data pool across every operator sector, and turns it into a monthly read on how the region is trading.
Individual operators hold the real commercial signal, and rarely share it. Destination managers are left with lagging public data, so marketing spend, destination management and the case made to government and investors all rest on intuition.
The program closes that gap by giving operators a benchmark against their peers, and giving the destination genuine visibility from the businesses actually trading on the ground.
Each month, operators submit a short, sector-appropriate return. It is anonymised, aggregated and turned into a shared intelligence report covering capacity, occupancy, yield, revenue trends and booking-channel distribution across the region.
A short return per operator, under 10 minutes, tailored to each sector. Online form, CSV upload or a direct booking-system connection.
Identity is separated from data at submission. Nothing individual is ever published, only aggregated sector-level results.
A destination scorecard, sector deep-dives, booking-channel analysis and forward-looking demand, written for managers.
Operators are segmented into six sectors, each with its own metrics, so a winery is measured like a winery and a lodge like a lodge.
Hotels, lodges, holiday parks, serviced apartments, short-stay rentals.
Adventure, wellness and thermal, nature and wildlife, snow and mountain, cultural sites.
Restaurants and cafes, wineries and breweries, food experiences, bars.
Guided tours, scenic flights, water transport, rental vehicles, shuttles.
Visitor centres, tourism retail, equipment hire and lessons.
Venues, event operators, incentive and corporate groups.
Universal signals from every operator, plus the measures each sector runs on, all indexed so no business ever discloses a raw dollar figure.
How full the region is running, by sector, against capacity.
ADR, RevPAR and yield per visitor as an index against the prior year.
Direct, OTA, walk-up and trade, so the destination sees where demand is flowing.
How far ahead bookings are landing, as a forward read on the next 30 to 60 days.
Domestic against international, sector by sector.
Operator confidence against expectations, as an early signal of a turn.
AI search and AI trip planning are reshaping how travellers discover and book, and the shift is landing first in the booking channels.
The program tracks the split across direct, OTA and walk-up every month, so a destination gets an early, evidence-based read on how AI is changing the flow of bookings across its sectors, while the change is still happening rather than a year later.
Confidentiality is the program's foundation. It is engineered so a single operator can never be identified in a result.
Operators submit indexed values and directional signals, never absolute revenue.
No sector result is published unless at least five operators contribute to it.
If one operator would dominate a metric, it is suppressed or lifted to a higher level.
Names and contacts are split from the data at submission and held apart.
A benchmark against sector peers, so pricing, capacity and marketing decisions are made with evidence.
Real visibility from the businesses trading on the ground, to ground marketing and destination-management calls.
A destination scorecard that tracks the region's health month on month.
Evidence to advocate for the region and to support the case for investment.
A staged build that proves the model on a pilot cohort before opening to the full operator panel.
Tailor the operator taxonomy and schema, stand up the secure pipeline, recruit a pilot cohort.
Run the first monthly cycles, test collection and anonymisation, produce the first reports.
Open recruitment to the full panel across every sector and publish the first full bulletin.
Add booking-system integrations and build year-on-year trends as the data compounds.
Data Story is a tourism and experience marketing agency working with regional tourism organisations across New Zealand.
