See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Spain’s cost-per-purchase story in 2025 reads like two distinct seasons: a bargain-heavy first half that steadily tightened toward the global benchmark, followed by a volatile second half punctuated by a dramatic August spike. Across all industries, Spain averaged 47.12 for cost per purchase—about 8% below the 51.40 global average—yet monthly swings were far sharper than the market norm. The year opened well below global levels, converged by late spring, whipsawed through Q3, and finished slightly above the world baseline in December.
This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for all industries in Spain compared to the global benchmark.
Spain started 2025 at 27.92 in January and ended at 52.33 in December, an 87% rise across the year. The annual low came in January (27.92) and the high in August (84.78), creating a wide range of 56.86. The full-year average landed at 47.12.
Month-to-month dynamics were pronounced. Q1 moved from 27.92 (Jan) to 31.21 (Feb, +12%) before easing to 29.64 (Mar, −5%). Q2 stepped higher: 47.45 in April (+60% vs. Mar), 51.91 in May (+9%), and essentially flat in June (51.82). July broke the climb with a drop to 32.93 (−36% vs. Jun), then August surged to the yearly peak at 84.78 (+158% vs. Jul). September retraced to 51.63 (−39% vs. Aug), October ticked up to 56.79 (+10%), November dipped to 47.02 (−17%), and December lifted again to 52.33 (+11%).
Volatility in Spain averaged 13.76 points in absolute month-over-month change—many times higher than the global benchmark’s 1.77, underscoring the choppy rhythm behind the annual average.
The first quarter set a low-cost baseline typical of softer post-holiday demand. Q2 showed steady normalization toward mid-year levels, culminating in June near parity with global costs. Q3 was the swing quarter: a July softening followed by an August spike that set the annual high, with a September pullback that essentially reset to mid-year norms. Q4 reflected the familiar pattern of heightened competition: October elevated, November easing, and December tightening again as buying intensity rose.
In summary, H1 Spain averaged 40.00, while H2 climbed to 54.25—about 36% higher than the first half—concentrating the cost burden in late summer and Q4.
Against the global benchmark, Spain’s first half was distinctly lower: 40.00 in Spain versus 52.76 globally (about 24% below). The second half reversed the relationship: 54.25 in Spain versus 50.05 globally (about 8% above). Globally, the year trended gently downward (−15% from January to December), while Spain rose sharply (+87%), reflecting divergent momentum.
By month:
At its narrowest gap, Spain was effectively at parity in November (−0.3% vs. global). The widest spreads came in opposite directions: 48% below in January, 60% above in August.
For performance marketers tracking Facebook Ads benchmarks, Spain’s 2025 cost-per-purchase trends for all industries show a low-cost first half, a volatile Q3 surge, and a firmer Q4 finish—averaging below global levels but with substantially greater month-to-month swings. Understanding cost-per-purchase benchmarks and country-specific ad costs in Spain helps contextualize CPP performance against the global pattern.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting Spain, advertisers should consider local market factors and user behavior. Different campaign objectives lead to varying costs based on how Facebook optimizes for your specific goals. The data shown represents median values across multiple campaigns, and individual results may vary based on ad quality, audience targeting, and campaign optimization.
We use the median CTR because the underlying distribution of click-through rates is highly skewed, with a small share of campaigns achieving extremely high CTRs. These outliers can inflate a simple average, making it less representative of what most advertisers actually experience. By using the median—which sits at the midpoint of all campaigns—we provide a more rigorous and realistic benchmark that reflects the true underlying data model and helps you set attainable performance expectations.
Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.
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All data is sourced from over $3B in Facebook ad spend, collected across thousands of ad accounts that use Superads daily to analyze and improve their campaigns. Every data point is fully anonymized and aggregated—no individual advertiser is ever exposed.
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Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)
CPM and CPC might increase during Semana Santa (Holy Week) and May Day, particularly for travel and tourism campaigns. 'Puentes' (bridge days) could reduce weekday inventory while pre-holiday traffic boosts media consumption. Black Friday typically marks sharp rises in retail competition. Late December brings peak ad volumes and e‑commerce CPM spikes.
It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.
Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.
Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.
Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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