Claira Travel Research
Claira publishes transparent planning benchmarks around the problems that make group travel hard: uneven flight burden, changing headcount, and costs that move when one assumption changes.
Modeled studies are labeled as synthetic or standardized where applicable. They are not presented as live prices, surveys, or forecasts unless the underlying source actually supports that claim.
2026 industry context
Compare traveler surveys, observed multi-day booking data, and Claira's modeled planning benchmarks without treating them as the same kind of evidence. The synthesis labels geography, sample scope, and whether each number is survey-based, observed, or modeled.
Read Group Travel Statistics 2026 →Original research
Multi-origin flights
9 of 12 modeled scenarios
Tests when the lowest average airfare is not the fairest group-flight plan once maximum fare, nonstop coverage, arrival spread, and travel-time equity are considered.
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Changing headcount
$151 median modeled impact
Measures how one traveler dropping out can raise the remaining travelers' share of fixed lodging and other shared trip costs across 18 standardized scenarios.
Read the study →Trip costs
6 destinations compared
Applies one standardized planning model across popular group-trip destinations so readers can see which assumptions drive the cost spread.
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Ski travel
6 ski destinations compared
Compares standardized ski-trip scenarios while keeping the evidence type explicit: modeled planning assumptions rather than live resort quotes or observed traveler spending.
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Formula 1 travel
6 race weekends compared
Models the group-travel economics of six Formula 1 race weekends, including the effect of fixed shared costs when fewer travelers split the bill.
Read the study →For journalists and researchers
Each flagship study links to its canonical article, underlying modeled CSV, methodology, and Claira-owned research graphic where available. When citing a modeled result, please identify it as a standardized Claira planning model rather than observed traveler spending, live pricing, or a market average.
Claira Travel Research, study title, publication year. Include the canonical study URL and preserve the evidence-type qualifier shown on the page.
For source questions, scenario tables, correction requests, or media-use questions about a Claira graphic, email chris@getclaira.app.
How to read Claira research
Synthetic scenarios are useful for isolating a planning tradeoff, but they should not be mistaken for current airfare, historical market data, or survey evidence.
When a benchmark uses a score, the components and weights are published so readers can understand what drives the result and disagree with the assumptions if needed.
Editorial research models are not silently presented as Claira's production ranking logic. The live app can consider a broader set of traveler, inventory, budget, and preference signals.
The research methodology explains source hierarchy, update dates, modeled estimates, commercial relationships, and how to report a correction.
Benchmarks explain the tradeoffs. Claira's planning tools apply the same group-first mindset to your actual travelers, shortlist, budget, flights, and itinerary.