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Facebook Ads Cost Per Purchase Benchmarks for Design in Spain

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

Cost Per Purchase for Design in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: key takeaways

  • Scope: This analysis looks at cost-per-purchase trends for industry Design and target country Spain compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Overall level: Spain’s Design median cost-per-purchase averaged 100.36 across Oct 2024–May 2025, almost double the global baseline’s 50.34 (+99%).
  • Volatility: The selected series is highly volatile, with month-to-month swings ranging from −94% to +1,962% and an average absolute monthly change of roughly 611% (vs. ~5% for the baseline).
  • Highs and lows: Spain peaked at 406.48 in May 2025 and bottomed at 4.49 in December 2024. The global series ranged narrowly between 43.19 and 53.89 over the same period.
  • Trend: From the first to last observed month, Spain rose by about 432% (76.44 → 406.48), while the baseline increased by about 9%.
  • Seasonality: While the market typically sees Q4 costs tighten, Spain’s Design costs fell through November–December, then rebounded sharply in January–April and surged in May.

Selected series overview (Design, Spain)

  • Average monthly median cost-per-purchase: 100.36 across eight months.
  • High: 406.48 (May 2025).
  • Low: 4.49 (December 2024); another notable trough at 4.95 (February 2025).
  • Notable swings:
  • Oct → Nov: −67.6%, Nov → Dec: −81.9%.
  • Dec → Jan: +1,768%, Jan → Feb: −94.1%.
  • Feb → Mar: +1,962%, Mar → Apr: −2.3%.
  • Apr → May: +307.8%.
  • First-to-last change: +432% from October 2024 to May 2025.
  • Pattern: A sharp decline into late Q4, a dramatic rebound in Q1, stabilization in April, then an outsized spike in May.

Comparison to the global baseline

  • Average level: Spain (100.36) vs. global (50.34) — Spain sits well above market overall.
  • Range and volatility:
  • Spain range: 4.49 to 406.48; global range: 43.19 to 53.89.
  • Average absolute month-to-month change: Spain ~611% vs. global ~5%.
  • Baseline seasonality and trend:
  • Baseline rose modestly from October to May (+9%), with small month-to-month moves (±1–19%).
  • Typical Q4 firmness appears in December (51.53) and continues around the low-50s through spring.
  • Relative positioning by month:
  • Above market: October, January, March, April, May (notably far above in May).
  • Below average: November, December, February (especially December and February).

Seasonal context

  • Market pattern: Costs typically increase in Q4 around holiday periods and remain elevated into Q1.
  • Observed in Spain (Design): A divergence from typical Q4—costs fell into December, then spiked in January and March–April, culminating in an extreme May peak compared to the steady global trend.

Understanding cost-per-purchase benchmarks on Facebook Ads in Design and Spain helps advertisers make more efficient budget and creative choices.

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. In the Design industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.

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