Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Spain’s cost-per-purchase profile ran materially below the global benchmark for most of the year but showed sharper, less predictable swings. 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.
Across July 2025–June 2026, Spain’s median cost per purchase averaged $35.94, ranging from a low of $12.38 (October 2025) to a peak of $58.92 (January 2026). The series began at $25.41 in July 2025 and finished at $42.82 in June 2026 — a net rise of about +69% from start to finish. The global baseline over the same months averaged $49.87, with monthly medians clustered between roughly $42.97 and $55.98.
Most months in Spain traded below the global level: Spain’s year-long average was about 28% below the global benchmark. Month by month, Spain undercut the global benchmark by large margins in summer and early fall (July: –52%; August: –64%; September: –74%; October: –76%). There were notable exceptions: November 2025 (Spain $47.14 vs baseline $46.39) and January 2026 (Spain $58.92 vs baseline $49.24) where Spain rose above the global median, and May 2026 (Spain $52.02 vs baseline $47.37) where Spain again outpaced the benchmark.
The Spanish time series is punctuated by two dramatic shifts. October 2025 marked the local trough at $12.38, immediately followed by a sharp rebound into November (+281% month-over-month), producing a late-fall spike. A second peak arrived in January 2026 at $58.92, followed by a steep contraction in February to $32.32 (–45% month-over-month). Spring and early summer settled into mid-$40s territory with May’s elevated reading ($52.02) before a June convergence ($42.82) that nearly matched the global June median ($42.97).
These rhythms show intermittent pockets of extreme movement rather than a smooth seasonal curve: deep softness in October, a big holiday-period lift into November and January, and sporadic spring volatility.
Relative to the baseline, Spain was mostly below market but intermittently above. Across the 12-month stretch Spain was below the global median in 9 of 12 months, with the narrowest gap in June (Spain ~0.3% below global) and the widest in October (Spain ~76% below global). Volatility was a defining characteristic: Spain’s average absolute month-to-month change was roughly 45% (driven by the October→November spike), compared with about 6% average monthly swing in the global benchmark — Spain was far more volatile than the broader market.
Understanding cost-per-purchase benchmarks for All industries in Spain — and how they diverge from global medians — offers a clear view into country-specific ad costs, CPM analysis context, Facebook Ads benchmarks, CPC trends and CTR performance comparisons for industry ad performance in Spain.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting Spain, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)
CPM and CPC may increase during Semana Santa (Holy Week) and May Day, especially for travel and tourism campaigns. 'Puentes' (bridge days) may reduce weekday inventory while pre-holiday traffic increases media consumption. Black Friday increases retail competition. Late December brings peak ad volumes and e-commerce CPMs.
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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and 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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