CPL by source country: the honest answer
If you searched for a table of cost-per-lead benchmarks by country, here is the honest answer nobody else will give you: no credible public country-level CPL benchmark exists for cross-border real estate. CPL depends on creative, offer, season, competition and funnel quality — variables no published table controls for. Sites quoting exact figures without a stated sample are guessing. What CAN be known, measured and compared are the drivers below.
Why we refuse to publish CPL numbers
PropScient measures prospect demand — not ad-account outcomes — so we have no honest basis for a CPL figure, and neither does anyone else at country level. Publishing one anyway would be inventing data. We publish the drivers and the method instead, because a marketer who understands the drivers will out-plan one armed with a fabricated table every time.
The six drivers that actually move CPL between countries
1. Demand concentration. Cost falls where measured demand concentrates: an audience actively searching for your destination converts at a fraction of the cost of an audience you must convince from scratch. This is the largest single driver, and the one PropScient measures directly — see the banded demand shares on any launch playbook.
2. Competition intensity. The same nationality costs more when every developer targets it the same season with the same message. Heavily-courted markets carry an auction premium; demand-rich but under-targeted markets are where CPL outperforms.
3. Language premium. English-only campaigns systematically under-reach markets that research in their own language — paying more per lead for a thinner slice. Advertising in the buyer's language widens the funnel; several major markets are consistently mispriced this way.
4. Channel fit. Each nationality researches on different platforms. Running the channel a market actually uses is cheaper than forcing every market through one media plan.
5. Offer and funnel fit. Payment-plan-led audiences, yield-driven investors and residency-seekers respond to different offers; a mismatched offer inflates CPL regardless of media buying skill.
6. Seasonality. Demand per market peaks in different months. Buying media against a market's seasonal trough is paying a premium for attention that is not there.
How to reason about CPL without a benchmark table
Rank your candidate markets by measured, gated demand; then adjust expectations directionally: expect relatively lower CPL where demand concentration is high, competition is not saturated, and you advertise in-language on the market's own channels at its seasonal peak — and relatively higher CPL wherever the opposite holds. Then measure your own campaign CPL per market from week one; your own account is the only benchmark that is real.
Related: how to split launch budget across countries (the demand-share method).
Frequently asked questions
What is a typical real-estate CPL for campaigns targeting Indian or UK buyers?
There is no credible public number. Country-level CPL depends on creative, offer, competition, language, channel and season — none of which a published table controls for. Any site quoting an exact figure without a stated sample and period is publishing a guess. Rank markets by measured demand first, then treat your own first weeks of campaign data as the only real benchmark.
Are published CPL benchmarks by country reliable?
Almost never for cross-border real estate. Reliable benchmarks require a disclosed sample (spend, period, channel mix, offer type) — public tables provide none of this. Directional reasoning from measured demand drivers outperforms planning against fabricated averages.
How do I estimate cost per lead for a market I have never advertised in?
Score the drivers: how concentrated is measured demand for your destination in that market, how saturated is competitor targeting, will you advertise in the market's own language and channels, and are you entering at its seasonal peak? Favourable answers point to below-portfolio-average CPL; unfavourable ones above. PropScient's platform ranks the demand side of that equation per market.
Why does the same campaign produce different CPLs in different countries?
Because demand concentration, auction competition, language reach, channel fit and seasonality all differ per country. The campaign is constant; the market is not. That is why budget should be allocated per market from demand data rather than spread evenly.
See the method on live data
Every launch playbook applies this methodology to current measured demand — per city and property type, updated continuously.
Browse launch playbooks Launch Platform →