One model of the destination as an investor sees it. It holds every route and its seat capacity, every hotel market with supply and rate, and the event calendar. It adds the demand from each origin market, with its search interest and sentiment. Signal137 shows what the destination already delivered to the assets in it. Demand137 runs the base, downside, and diversification cases for the next asset, with the access ceiling as the honest cap. The fund’s advisers would use the same model, so the prospectus holds up in due diligence.
What the destination delivered to the assets already in it: rate, occupancy, and spend attributed to the events, routes, and origin markets that drove them, year over year. Which markets and events the returns leaned on. What new supply did to the comp set. GVA, tax, and jobs the assets added to the place. Displacement and counterfactual stated. A track record on one method.
The investment case for the next asset: base, downside, and diversification scenarios on one model. Demand by origin market and season with the interval stated. The access ceiling for the market: seats, rooms, last mile. What the case depends on and what happens if one route or one event is lost. Every number marked observed, derived, or inferred, so a projection is never presented as a measurement.
| Product | Your question | You get | What it changes |
|---|---|---|---|
| Demand137 | What should the prospectus lead with? | A demand case broken out by origin, route, timing and purpose, not a single arrival total | The prospectus opens with the evidence a committee looks for first |
| Demand137 | Which sites or sectors to prioritise for inbound capital | Demand and dependency mapped across the destination's asset classes and locations | Outreach and incentives aimed at the opportunities the evidence supports |
| Demand137 | How do we answer due diligence without losing momentum? | A traceable evidence base the destination can hand over intact | Investor questions answered from a base already prepared |
| Demand137 | What does the investor's own analyst see? | The dependency and downside test the committee will run, run in advance | Investor questions answered before they are asked |
| Demand137 | Does an evidence-led range strengthen the prospectus? | The range the evidence supports, stated, even where it sits below the ambition | A prospectus that holds up in due diligence is one a committee acts on |
| Signal137 | How do we show the local return the investment is meant to deliver? | GVA, employment, and fiscal return net of leakage and displacement, not gross activity | The public benefit case defended to ministers, media, and the investor together |
| Signal137 | What did the last investment we attracted actually deliver? | Occupancy, rate, retained value, and local jobs against the case that drew it | The track record the next prospectus is built on |
| Signal137 | How much of the value stayed in the country? | Retained value by sector around the asset, with leakage named | The benefit to the country, measured |
| Both | Can this go straight into a prospectus or a data room? | Built to be handed over intact, assumptions and uncertainty stated | One evidence base, ready before due diligence starts |
| Both | Do you need our negotiation or investor terms? | No. Public and licensed market data plus the destination, sites, and investor type | Negotiation terms stay with your own team |
Demand by origin, event calendar contribution, route network, competitive supply, and projected return. The case stated in the terms an investment committee paper requires, not a destination brochure.
Performance benchmarked on the same method: demand growth, occupancy, rate, and economic return. The investor sees a like-for-like comparison.
Events mapped against FDI target sectors and origin markets. A congress that brings decision-makers from target investment markets creates pipeline beyond the event week.
Stress scenarios with the assumptions stated. The floor, the trigger, and the recovery path visible before the capital is committed.
Living Lab provides the demand evidence, the economic model, and the scenario framework. The destination supplies the opportunity.
A hotel, a resort, or a mixed-use scheme fails underwriting when a single route, a single annual event, or a single source market turns out to be carrying more of the demand case than the committee realised. The dependency is the risk, and it can be measured before signature.
None of the three states what it includes, what period it covers, or whether the money stayed. A footprint figure is only useful when it carries its own definitions, and it is only defensible when it is kept separate from impact.
International arrivals to the United States fell 4.2% in 2025 while worldwide travel grew about 4%. Living Lab’s displacement model puts the forgone spending at roughly US$50bn, and about US$10.6bn of it within reach of five economies. Each is limited by a different constraint.
At the Italian Grand Prix, the fleet of guest vehicles arrives on German plates with German drivers. The hospitality guests do not sleep in Monza, which hosts the race. They sleep in Milan, which does not. The town that pays captures a fraction of what the event generates.
We turn messy event and tourism data into decisions that help communities grow. Bring curiosity and rigour. We will hand you questions nobody has answered yet.
