Which source markets are worth pursuing — and how to find out

The instinct, when a destination starts thinking seriously about source markets, is to look at where the big numbers are. China sent $196.5 billion in outbound tourism spend globally in 2023, reclaiming the top position it held before the pandemic.¹ The United States sent $150 billion. Germany, $112 billion. If you're trying to grow your destination's international arrivals, the logic of going where the money is seems straightforward.

It isn't, quite. Volume and value don't always align. And neither of them automatically aligns with what a destination is actually equipped to offer, or what it wants to become.

The variables that actually matter

Arrivals are the most commonly tracked metric, but they're a starting point rather than an answer. A fuller picture of source market value includes:

Spend per trip and spend per day. A market that sends fewer visitors but at higher daily expenditure may generate equivalent or greater economic contribution. Tourism New Zealand's strategy explicitly targets NZD 5 billion in additional revenue over 2024–2028 by seeking higher-spending visitors rather than higher visitor numbers — with business event participants recorded as spending NZD $175 per day more than other visitors, and Chinese visitors logging the highest median daily spend at NZD $368.²

Length of stay. Long-haul visitors typically stay longer, which affects how their economic contribution distributes across the destination — more nights in accommodation, more meals, more ground-level spending. US visitors to Barcelona averaged 11 days, compared to 3.8 days for European visitors, while spending around 70% more per stay.³

Growth trajectory. A market that is mid-sized today but growing fast may be more strategically useful than a mature, slow-growing market that is already competitive for your destination's profile. UNWTO flagged India's jump from 14th to 8th in global outbound spend between 2019 and 2023 as a signal of its rising importance.¹

Alignment with destination goals. This is the variable that gets least attention and matters most for destinations with sustainability commitments or community benefit objectives. The right market is the one whose motivations, values, and travel style fit what the destination genuinely offers — not just the one with the largest wallet.

The volume versus value tradeoff

The tension between total arrivals and per-visitor yield is one of the defining strategic questions in contemporary destination management, and no destination has made it more explicit than Bhutan.

Bhutan's sustainable development fee — which funds healthcare, education, conservation, and infrastructure — stood at $65 per day for roughly three decades before being raised to $200 per day on reopening after the pandemic in September 2022.⁴ The stated logic was to filter for visitors whose spending would meaningfully support the country's development model while keeping visitor numbers low enough to protect cultural and environmental assets.

The outcome was instructive. Arrivals fell to 89,326 in the period from September 2022 to October 2023, compared to 315,599 visitors in 2019.⁴ The number of licensed guides dropped from 5,600 to 3,000. The fee was reduced to $100 per day in September 2023. The Director General of Bhutan's Tourism Council, reflecting on the episode, noted that the high-value, low-volume policy had been "getting derailed."

Bhutan's experience doesn't argue against value-over-volume strategies — it illustrates that the threshold matters enormously, and that the economic reality for operators and workers in the destination has to be part of the calculation. A strategy that optimises for per-visitor yield at the cost of industry viability isn't a sustainable model.

What "high value" actually means in practice

The New Zealand research framing — developed by Schaller and Vickers in a study for the Parliamentary Commissioner for the Environment — defines visitor value by daily spend, and notes that on a per-dollar-spent basis, high-value tourists produce lower carbon intensity than budget tourists, partly because international aviation (which accounts for over 50% of tourism's total carbon footprint) is fixed regardless of visitor spend level.²

This points to a nuance that's often missed: the environmental argument for high-value visitors isn't that they travel more responsibly — it's that the fixed-cost carbon of getting to the destination is amortised across a larger per-trip economic contribution. The sustainability calculus depends heavily on what assumptions you make about what "value" includes.

What the gravity model explains

Academic research on why tourists go where they go has converged on a framework borrowed from physics: the gravity model, which predicts bilateral tourist flows as proportional to the economic mass of the origin and destination countries and inversely proportional to the distance between them.⁵

A 2022 systematic review of 143 published papers applying gravity equations to tourism demand confirmed that the most consistently significant variables across studies are GDP of the origin country, GDP of the destination, population, and geographic distance.⁵

The variables that predict flow beyond distance and income

What makes the gravity model useful beyond its basic formulation are the additional variables that have predictive power: colonial history, shared language, trade relationships, visa policy, and transportation connectivity all emerge as significant across multiple studies.⁵

Shared language explains part of why the United Kingdom and Australia perform so strongly as source markets for many African destinations — the practical friction of planning and booking a trip is lower, independent travel is more accessible, and operators can market without translation. Colonial history is uncomfortable but measurable: bilateral tourism flows remain elevated for decades after political separation, partly because of diaspora travel, partly because of established trade and airline routes, and partly because of cultural familiarity.

Visa policy is a lever destinations can actually pull. Relaxing visa requirements for a specific source market has a documented positive effect on arrivals from that market — and the gravity model literature provides the framework for estimating what that effect is likely to be before the policy change is made.

How long-haul and short-haul markets behave differently

Beyond spend and length of stay, long-haul and short-haul markets tend to have structurally different travel motivations and product expectations.

Long-haul visitors typically plan further in advance, commit to longer itineraries, and are more likely to use specialist operators and travel advisors — making them more responsive to trade marketing and editorial coverage, and less responsive to social media advertising targeting. They're also less price-elastic once committed to a destination: the fixed cost of the flight makes the in-destination spend feel relatively small.

Short-haul visitors plan with shorter lead times, are more likely to travel independently, and are more sensitive to seasonal conditions, political news, and exchange rate movements. They may represent a larger volume opportunity for destinations in their region but are more volatile as a market.

This doesn't make one market type better than another — it makes them different management challenges with different marketing tools and different risk profiles.

The signals you can read without a primary research study

A structured source market analysis doesn't always require a full commissioned study. Several signals are worth reading systematically before that investment is made.

Search data by geography. Google's keyword data (via Search Console for your own site, or tools like SEMrush and Ahrefs for competitive analysis) shows which countries are generating search traffic for your destination. The distribution often doesn't match the arrivals data — some markets are searching at high rates without converting to bookings, which indicates either a marketing gap or a product-market fit problem.

Operator portfolios by source market. Tour operators in your priority markets make their customer base visible through their marketing: imagery, price points, trip styles, and which travelers they're addressing. Reading across five to ten operators in a source market gives you a picture of how that market currently thinks about your destination — and how large the gap is between current perception and what you want to communicate.

Review language as a market signal. Visitor reviews on TripAdvisor and Google often include information about the reviewer's country of origin, either explicitly or through contextual signals. The language visitors use — the things they found surprising, the comparisons they make — tells you something about their frame of reference that arrivals statistics don't.

Booking lead times by origin. If you have booking data segmented by customer origin, lead time differences between markets reveal planning behaviour. A market with very long lead times is booking months in advance and is responsive to early-stage content; a short-lead-time market needs conversion-focused messaging closer to travel.

What alignment with destination goals looks like

The most strategically useful source market analysis doesn't just ask "which market sends the most money?" — it asks "which market's travel motivations fit what we're actually offering, and what we want to be known for?"

A destination with a strong community-based tourism offering is looking for visitors who will value that product, not visitors who will tolerate it as an add-on to a beach holiday. A destination with significant cultural heritage assets is looking for visitors with cultural curiosity, not just adventure seekers who happen to be flying through.

This fit question is harder to answer from statistics alone. It requires understanding what motivates travel from each source market — what the traveler is looking for, what they're prepared to pay for it, and how the destination compares to other options they're considering. That's where the research work sits: not in the arrivals numbers, but in the alignment between market motivation and destination offer.

The Bottom Line

Source market prioritisation is a decision with long lead times and significant consequences — the marketing investment, trade relationships, and infrastructure decisions that follow from it take years to build and years to unwind. Getting the decision right requires looking beyond arrivals volume at spend, length of stay, growth trajectory, and — most importantly — alignment between what each market is looking for and what the destination genuinely offers.

The signals are often already available: search data, operator portfolios, review language, and booking patterns all tell you something about which markets are actually interested and how. A formal source market study builds on those signals with primary research. But reading the signals systematically first shapes a much better research question.

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References

1. UN Tourism (2024). China recovers its position as top spender in 2023 as Asia and the Pacific reopens to tourism. https://www.untourism.int/news/china-recovers-its-position-as-top-spender-in-2023-as-asia-and-the-pacific-reopens-to-tourism ↩

2. Schaller, N. & Vickers, J., thinkstep-anz (2020). Visitor value versus volume for international tourists to New Zealand. https://www.thinkstep-anz.com/resrc/reports/visitor-value-versus-volume-for-international-tourists-to-new-zealand/ ↩

3. Mabrian Travel Intelligence (2023). Beyond borders: Rethinking the sustainability of long-haul travel. https://mabrian.com/blog/beyond-borders-rethinking-the-sustainability-of-long-haul-travel/ ↩

4. Tavassoli, N. (2023). Pricing solutions to Bhutan's sustainable tourism policy. London Business School Think. https://www.london.edu/think/pricing-solutions-to-bhutans-sustainable-tourism-policy ↩

5. Rosselló Nadal, J. et al. (2022). Gravity models for tourism demand modeling: Empirical review and outlook. Journal of Economic Surveys, 36(5), 1358–1409. https://doi.org/10.1111/joes.12502 ↩