More than 700 events Ā· 14m room nights Ā· US$12bn GVA Ā· 49 countries Ā· 180 cities Ā· in the past 12 months

DMO performance measurement: know which visitors create value, where pressure builds, and what to change next.

Arrivals and spend are outputs, not decisions. See demand by origin, stay, timing, and purpose, so the board knows which markets create retained value and which only add volume in weeks that are already full.
Test next season's markets, segments, and campaign mix before the budget is committed, then account for last season on the same evidence base. One method, so a campaign case survives the next funding review.

A tenth of the world's output and employment depends on the visitor economy

Living Lab’s first economic model was for the Singapore Grand Prix in 2012. In 2025 we became a software platform: government-grade intelligence for the visitor economy

In the last 12 months we have deployed at more than 700 events. They delivered 14 million room nights and over US$12bn in gross value added

What does Living Lab do for DMO performance measurement?

DMO performance measurement. Living Lab turns a visitor count into a demand vector: where they came from, how long they stayed, what they spent, and whether the destination could absorb more of them, so a DMO can plan the season on value rather than on headline numbers alone. Reference data is published by UN Tourism.

Attributes what a past campaign, season, or event did to visitor value: which markets and campaigns moved retained value, net of displacement, and which only moved arrivals. Reports on demand for any market, season, or campaign, on one method. The case for value separated from the case for volume, so a dip in one does not read as failure in the other.

Forecasts demand by origin, timing, stay, and purpose for the season ahead, and tests which markets, segments, and campaigns to target before the budget goes out. Capacity pressure by area and period, so growth is aimed at the weeks the destination can absorb. Base, downside, and supported cases with the counterfactual stated.

ProductYour questionYou getWhat it changes
Demand137Which source markets and segments to court next seasonDemand by origin, timing, stay length, and purpose, alongside arrivalsA market plan built on value, not headline numbers alone
Demand137Where and when capacity pressure will bite nextForward accommodation, route, and event signals by area and periodDemand managed ahead of the peak, not apologised for afterwards
Demand137Which new market is worth a modest test campaignModelled local value per visitor for emerging markets, with the uncertainty statedBudget tested at small scale before it is committed at full scale
Demand137What a new route, or a lost one, does to the seasonRoute demand linked to hotel nights and sector spendThe aviation conversation joined to the marketing plan
Demand137What happens if we do nothing?Base, downside, and supported scenarios with a stated counterfactualThe cost of waiting is priced alongside the cost of acting
Signal137Is current marketing spend reaching value-creating visitors?Spend and behaviour signals linked back to specific campaigns and channelsA campaign case that survives the next funding review
Signal137Which visitors create local value, not only which spend the most?Volume, stay length, retained value, and capacity pressure, market by marketA high-arrivals market and a high-value market are no longer treated as the same success
Signal137What did last season deliver, and to whom?Every campaign and market ranked on retained value, on one methodThe board sees more than a rear-view number
Signal137How do we defend the mandate and budget to funders?A traceable link between spend, demand shift, and local valueA funding case built on value created, not visitor count alone
BothWho holds this, and where?Model, data, and a trained team inside your jurisdictionThe capability survives the change of director or agency

Plan next season on value, not volume

Calendar optimisation example

USE CASES

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Advancing the Tourism Industry

Show me the evidence

Tell us the question. We'll bring back the answer.

Come and show your working

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.