A tourism board that knows what each market and campaign returns can back the winners harder. Living Lab shows which origin markets, seasons, and campaigns are compounding, and where the next growth is, on the numbers the treasury reads.
One model of the whole destination: every route in and its seat capacity, every hotel market and its rate, every event on the calendar, and the search interest and sentiment in each origin market, week by week. Signal137 shows what last season and last campaign returned, by market and by district, so the board sees the value it built. Demand137 shows where the next visitors are coming from, how much the routes and rooms can carry, and which markets to back next.
What each origin market, season, and campaign returned: visitor spend, room nights, GVA, tax, and jobs, net of displacement and attributed to the campaign rather than the season. Which markets bring the visitors who stay longer and spend locally, so the budget goes where it compounds. It also shows which events in the calendar earn the most for the destination, and reads resident sentiment alongside. Every figure runs per market and per season against the year before.
Where demand will form next season and how much of it the destination can carry. The access ceiling by origin market: the seats on the routes, the rooms in the peak week, the last mile, and where added capacity raises it most. Candidate campaigns, events, and route incentives scored against the calendar and priced on their return, so the next investment is the one with the most headroom. Every number marked observed, derived, or inferred. The return on acting now priced alongside the cost of waiting.
| Product | Your question | You get | What it changes |
|---|---|---|---|
| Demand137 | Which source markets and segments to court next season | Demand by origin, timing, stay length, and purpose, alongside arrivals | A market plan built on value, not headline numbers alone |
| Demand137 | Where and when capacity pressure will bite next | Forward accommodation, route, and event signals by area and period | Demand managed ahead of the peak, not apologised for afterwards |
| Demand137 | Which new market is worth a modest test campaign | Modelled local value per visitor for emerging markets, with the uncertainty stated | Budget tested at small scale before it is committed at full scale |
| Demand137 | What a new route, or a lost one, does to the season | Route demand linked to hotel nights and sector spend | The aviation conversation joined to the marketing plan |
| Demand137 | What happens if we do nothing? | Base, downside, and supported scenarios with a stated counterfactual | Acting now and waiting are compared on the same terms |
| Signal137 | Is current marketing spend reaching value-creating visitors? | Spend and behaviour signals linked back to specific campaigns and channels | A campaign case that holds at the next funding review |
| Signal137 | Which visitors create local value, not only which spend the most? | Volume, stay length, retained value, and capacity pressure, market by market | High-arrivals markets and high-value markets are told apart |
| Signal137 | What did last season deliver, and to whom? | Every campaign and market ranked on retained value, on one method | The board sees where last season's value came from |
| Signal137 | How do we defend the mandate and budget to funders? | A traceable link between spend, demand shift, and local value | A funding case built on value created |
| Both | Who holds this, and where? | Model, data, and a trained team inside your jurisdiction | The capability survives the change of director or agency |
Arrivals decomposed by origin, spend, and stay pattern, so the board sees the value the growth created and where the next step is. A rise in long-stay international visitors and a rise in day-trippers compound differently, and the destination backs the one that builds most.
Each campaign attributed by segment response, incremental arrivals, and retained spend. The marketing team sees which channels and markets convert to value, and puts next season’s budget behind them.
Segments ranked by GVA, tax, and retained spend per visitor. The model identifies the segments that stay longer, spend more locally and visit in shoulder months, so next season’s investment goes where the headroom is.
GVA, retained spend, tax, and employment by segment and market. One report shows the board, the government funder and the industry the value the destination is building, each on the metric they read.
Living Lab tracks origin markets over time. The destination sees which markets are compounding, which new markets have the most headroom, and how a route or a campaign would open them.
Oman has announced plans for a high-altitude destination at Jabal al Akhdar, combining sports training, wellness, and tourism at 2,400 metres. It is the kind of project a Gulf government can commit to at once, and the kind that lives or dies on a demand case nobody has yet published.
A major event is a rallying point for civic pride, and just as easily a rallying point for protest. The difference is usually whether residents can see what the event does for their street, in terms they recognise, before the road closures start.
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.
Tourism is close to a tenth of the world’s output and employment, and almost every government still plans it in pieces. A country that governs its visitor economy as one system keeps more of what it pays for. On an illustrative US$20bn economy, five points of retention is US$1bn a year.
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.
