Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks in Spain

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase in Spain

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

All industries in Spain saw a markedly lower Cost Per Purchase than the global Facebook Ads benchmarks, but with far sharper swings. The year opened on a modest footing, dipped through spring, then whipped from a July low to an August spike that briefly ran above the global mark before settling back into the low 30s by October. The main story: Spain’s CPP stayed well below the global baseline on average, yet moved with far more intensity month to month. 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.

The story in the data

Spain’s Cost Per Purchase started at 25.0 in November 2024 and ended at 30.55 in October 2025, a 22% lift across the period. The average sat at 30.3, distinctly below the 49.28 global average. The extremes tell the volatility: a low of 8.70 in July and a high of 59.18 in August. Notable moves included a soft April (16.96, down 32% from March), a sharp jump in May (40.16), a steep July drop (−76% vs. June), and the standout August surge (+580% vs. July) before easing in September (39.65) and October (30.55).

Month-to-month volatility in Spain averaged 14.7 points, versus just 2.5 for the global baseline—clear evidence of a more erratic market. Globally, CPP ranged from 42.70 to 53.80 with a gentle rise into February and a gradual cool-down into October (43.29), a far smoother arc than Spain’s.

Seasonal and monthly dynamics

Seasonally, Spain’s CPP was moderate in late Q4 2024 (averaging 28.2), softened slightly through Q1 2025 (25.3), and then pivoted higher in Q2 (31.1) on the back of May–June strength. The summer brought the defining whiplash: a July trough at 8.70 followed by August’s cycle-high at 59.18, then a controlled descent through early autumn. By contrast, the global pattern reflected steadier seasonality: elevated costs in Q1–Q2 (peaking at 53.80 in February) and a gradual easing into Q3–October.

Spain vs. Global

Across the period, Spain’s CPP averaged 38.5% below the global benchmark. The gap tightened at times—most notably in September when Spain trailed global by 18% (39.65 vs. 48.67)—and widened dramatically in July (82% below market; 8.70 vs. 47.18). August was the lone “above market” month, with Spain exceeding the global CPP by 18% (59.18 vs. 50.27). Trend-wise, the global line was steady-to-soft (roughly flat from November to October), while Spain’s trajectory was choppier, ending higher than it began but defined by outsized mid-year swings.

Closing

Understanding Facebook Ads cost per purchase benchmarks for all industries in Spain—set against the global baseline—highlights country-specific ad costs marked by low averages but high volatility. Within broader Facebook Ads benchmarks that include CPC trends, CPM analysis, and CTR performance, Spain’s CPP story stands out for its summer surge and sustained discount to global levels, offering a clear view of industry ad performance dynamics in Spain relative to worldwide patterns.

Understanding the Data

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.

Why we use median instead of average

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

This dataset updates frequently as new ad data flows in. It will only get bigger and better.

Spain Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 6Epiphany
Apr 17Maundy Thursday (some regions)
Apr 18Good Friday
Apr 21Easter Monday (some regions)
May 1Labour Day
Aug 15Assumption Day
Oct 13National Day of Spain
Nov 1All Saints' Day
Dec 6Constitution Day
Dec 8Immaculate Conception
Dec 25Christmas Day

Key Shopping Season

Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)

Potential Advertising Impact

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.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.