A hotel or venue asset is a bet on what the city has coming. Living Lab shows what the calendar, the routes, and the origin markets delivered to the asset, and what they will deliver over the hold, on the same numbers.
One model of the demand around the asset. It covers every event on the city calendar, every route in and its seat capacity, the hotel supply and rate in the market, and the search interest and sentiment in each origin market. Signal137 measures what the asset and its market actually delivered against the case. Demand137 runs the base, downside, and diversification cases on the same model, with the access ceiling as the honest cap. The investment committee reads a forecast it can audit.
What the asset and its market delivered over the hold: rate, occupancy, and spend attributed to the events, routes, and origin markets that drove them. Where the case held and where it depended on a single route or a single event. What new supply did to the comp set. Displacement and counterfactual stated. Year over year, on one method, so the exit case is a track record.
The access ceiling for the market: the seats, the rooms, the last mile. What happens to the asset if one route or one event is lost. Demand by origin market and season with the interval stated. New supply in the pipeline tested against the calendar. 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 | Whether to commit capital at the proposed price | Demand vectorised by origin, route, timing, and price, with a downside case, not a single growth line | An entry price and hold thesis on a stress-tested demand base |
| Demand137 | How exposed is the asset to one route, one market, or one event? | Connectivity and dependency mapping across routes, source markets, and the calendar | Mitigation, phasing, or covenant required before commitment |
| Demand137 | Does the hold period price in climate and transition risk? | Scenario testing across the expected hold, not the current operating year | Price, structure, or exit timing adjusted ahead of the market |
| Demand137 | What is diversification worth against the downside it removes? | A second market and route modelled over the hold, net of the cost of building them | Resilience carries a price |
| Demand137 | What happens if we walk away? | Base, downside, and supported scenarios with a stated counterfactual | The cost of not investing is visible alongside the cost of investing |
| Signal137 | Did the asset perform as underwritten, and if not, why? | Occupancy, rate, and value against the forecast, with the driver attributed | The hold review starts from evidence, not from a fresh assumption set |
| Signal137 | How much of the asset's value stays in the destination? | Retained value against leakage, by sector, around the asset | The ESG mandate tested on the same evidence as the return |
| Signal137 | When to hold, refinance, or exit | The same demand model re-run against current conditions | The decision timed against evidence the next buyer can also test |
| Both | Can this go straight into a committee paper or lender pack? | Every scenario states its assumptions, counterfactual, and uncertainty range | Open to testing by your risk function, a co-investor, or a lender |
| Both | Do you need our transaction data or fund systems? | No. Public and licensed market data plus the asset details and scenarios to be tested | No connection to fund or portfolio systems is needed |
Living Lab prices it against the demand that fills it. An asset dependent on three event weekends a year carries different risk from one with diversified corporate and leisure demand.
Demand by origin mapped against the route network. The exposure to a single route or market quantified before the investment.
Event-driven demand separated from organic leisure and corporate demand. For example, a resort that derives 40% of its peak-season occupancy from a neighbouring circuit or convention centre has a dependency the market report may not flag.
Performance attributed to named drivers: event calendar changes, route capacity, competitor openings, and origin market shifts. The asset manager sees whether the gap is structural or cyclical. It also shows whether management or the market caused it.
Downside scenarios with the assumptions stated. The investment committee sees the floor, the trigger, and the recovery path.
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.
A race track, an arena, a stadium: each is built for a peak it reaches a few dozen times a year. The gap between peak and off-peak operational need is the commercial challenge behind every sports-anchored development, and the reason mixed use is the answer rather than the fashion.
Manchester United’s proposed stadium is a £2bn, 100,000-seat ground by Foster + Partners, with a target opening of 2030-31. The club and the regeneration case cite £7.3bn a year for the economy and 92,000 jobs. Those are the promoters’ projections. Here is what to test before believing them.
The owners of the Bulls and the Blackhawks are putting a reported US$7bn into 55 acres around the United Center: housing, a music hall, a hotel, retail, a park. The arena already hosts more than 200 events a year. The question a developer should ask is what the other 165 nights are worth.
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.
