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

MICE economic impact measurement: turn delegate demand into value that lasts beyond checkout.

A recurring congress is judged again every renewal: by the board that funds it, the sponsors who back it, and the members who ask what three days of registration bought. See what each edition delivered, on one method, so the answer is a trend rather than a snapshot.
Forecast delegate yield, room-block needs, and host viability before the next edition is locked in. Then account for the edition that happened, on the same evidence base, so the case compounds instead of resetting every cycle.

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 MICE economic impact measurement?

MICE economic impact measurement. Living Lab connects registration, venue, accommodation, and sponsorship data across the full cycle, so a change between editions, a new host, a shifted programme, a different source-market mix, is traced through to the result rather than lost in a one-off report. Reference data is published by ICCA.

Attributes what a completed edition delivered: delegate spend, room nights, GVA, and sponsorship value, net of displacement, with the legacy indicators beside them. Tracked comparably across editions, so the board sees whether the congress is still doing what it exists to do. One evidence base for the board, the sponsors, and the members.

Forecasts delegate yield by origin, stay length, price sensitivity, and repeat-attendance pattern for each candidate host, so the next edition sits where delegates will travel rather than where the pitch was strongest. Room-block and venue terms tested before delegates register. Demand137 sets the rotation on demand, not convenience.

ProductYour questionYou getWhat it changes
Demand137Where the next edition should sit in the rotationDelegate yield forecast for each candidate host, tied to the delegate base's actual travel patternsA host sequence built on demand, not convenience
Demand137How big a room block to commit to before registration opensForecast delegate volume by origin, stay length, and price sensitivityA room-block negotiation backed by a tested forecast, with rate leverage kept
Demand137Whether to keep, retire, or relocate a recurring congressThe next edition modelled under each option, with the counterfactual statedA renewal decision the board can defend to members and sponsors
Demand137What relocating will cost in returning delegatesRepeat-attendance patterns by host, edition over editionThe relocation is priced before it is agreed
Demand137What happens if nothing changes?Base, downside, and supported scenarios with a stated counterfactualThe cost of habit is visible alongside the cost of change
Signal137What did the last edition deliver, and to whom?Attributed delegate spend, room nights, GVA, and sponsorship value, net of displacementThe board sees attributable value, not gross activity
Signal137Did the programme change buy anything, or was it the venue?Edition-over-edition comparison on one method, with the driver namedThe next programme decision is made on what worked
Signal137What do we tell sponsors and members the congress delivered?A traceable path from registration data to attributable value and stated legacyA sponsorship pitch that survives the first hard question
Signal137What did the host city gain, in terms the city will recognise?Room nights, GVA, tax, and jobs attributed to the congress, on the method cities useThe bureau and the board read from the same number
BothWho holds this, and where?Model, data, and a trained team inside your jurisdictionThe evidence survives the change of PCO or board

Make the renewal case on a cycle, not a snapshot

Calendar optimisation example

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Advancing the Tourism Industry

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