Which Markets Actually Deliver ROI for Spanish Hotels?
Introducing the Search-to-Arrival Conversion Index
Every hotel marketer eventually faces the same question: where should I really invest my marketing budget?
Search volume alone doesn't answer it, and intuition rarely helps. High traffic numbers often look convincing on dashboards, but they hide very different types of behavior — from casual inspiration and price comparison to genuine booking intent.
To get closer to an objective answer, we analyzed over 700 million search demand signals derived from Google searches related to travel to Spain and compared them with 85.7 million actual tourist arrivals, broken down by origin market.
What we found challenges how many hotels define "high-value" demand.
Why Volume Alone Is a Misleading Signal
Not all searches are created equal.
Some markets generate large volumes of exploratory searches, where users compare options, check prices, and delay decisions. Other markets produce fewer searches, but those searches are far more likely to translate into real trips.
Looking only at volume treats these behaviors as equivalent. In practice, they are not.
Two countries can generate similar traffic levels and deliver completely different economic outcomes for hotels.
A Simple Metric With Real Meaning
To separate scale from intent, we introduced the Search-to-Arrival Conversion Index.
The logic is simple: how many people actually arrive for every 1,000 searches originating from a given country?
Rather than measuring platform-level booking conversion, this metric captures market-level intent efficiency. It reflects how decisive search behavior is in each origin market once curiosity turns into action.
Higher values indicate more serious, high-intent search behavior. Lower values indicate heavier research, comparison, and drop-off.
What the 2025 Results Reveal
When applied across origin markets, the differences are striking.
Short-haul European markets consistently convert far more efficiently than long-haul ones. A search from Portugal, for example, translates into more than twice as many arrivals as a search from the United States.
This does not mean that long-haul markets are unimportant. It means that their economic value per click is structurally different.
Markets are not interchangeable simply because they generate traffic.
| Rank | Country | Searches | Arrivals | Conversion |
|---|---|---|---|---|
| 1 | Portugal | 9.5M | 2.98M | 313 |
| 2 | Switzerland | 6.7M | 2.00M | 299 |
| 3 | Belgium | 9.2M | 2.70M | 294 |
| 4 | Italy | 17.6M | 4.94M | 281 |
| 5 | France | 42.5M | 11.39M | 268 |
| 6 | Ireland | 10.7M | 2.73M | 255 |
| 7 | Netherlands | 17.8M | 4.49M | 252 |
| 8 | Germany | 43.6M | 10.75M | 247 |
| 9 | United Kingdom | 77.1M | 17.12M | 222 |
| 10 | United States | 25.9M | 3.94M | 152 |
Is This Just a One-Year Effect?
To test whether these differences were temporary or structural, we compared the index across two years (2024 vs 2025).
The result was a 0.981 correlation.
In other words, markets that convert efficiently continue to do so year after year, while research-heavy markets remain research-heavy. The relative differences barely change.
This stability is what makes the index useful for planning, not just retrospective analysis.
The 2025 Shift: Fewer Searches, More Arrivals
One of the most interesting patterns emerged when comparing overall trends between 2024 and 2025.
Total search demand declined, while total arrivals increased. As a result, conversion improved across every market.
The most likely explanation is structural. Casual browsing is increasingly moving toward AI assistants, OTA apps, and social platforms. The users who still rely on Google search appear to be further down the funnel and closer to decision-making.
Google search is becoming a lower-funnel signal, not a top-of-funnel browsing channel.
Different Markets, Different Strategic Roles
When conversion efficiency and volume are considered together, markets fall into clear strategic roles.
Some, like Portugal and Ireland, combine strong conversion efficiency with improving performance and offer the highest near-term return on marketing investment.
Others, like the United Kingdom, remain essential because of sheer demand scale, but the opportunity lies in improving efficiency rather than expanding reach.
Long-haul markets such as the United States show structurally lower conversion, but also the fastest improvement, favoring long-tail strategies, AI visibility, and retargeting rather than broad acquisition.
| Country | Budget Share |
|---|---|
| United Kingdom | 27% |
| France | 22% |
| Germany | 19% |
| Italy | 10% |
| Netherlands | 8% |
| Portugal | 7% |
| Ireland | 5% |
| United States | 4% |
From Insight to Budget Allocation
To translate insight into action, we combined search volume and conversion efficiency into a single allocation logic.
This approach avoids two common mistakes: over-investing in inefficient volume, and over-optimizing for small but highly efficient markets.
Instead, it balances scale and return, producing a budget allocation framework that reflects how demand actually converts into arrivals.
Key Takeaways
- Not all search demand has the same economic value. Conversion efficiency varies significantly by origin market, and those differences are stable over time.
- Short-haul markets consistently deliver higher intent, while high-volume markets require efficiency optimization rather than additional reach.
- Overall, search behavior itself is becoming more bottom-funnel as casual browsing shifts elsewhere.
- Understanding where demand turns into arrivals is becoming more important than knowing where demand originates.
Data Sources
Search data: tharro.io (Google-based keyword travel demand signals)
Arrivals data: Instituto Nacional de EstadÃstica (INE), Frontur survey
