Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Retail in Spain

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

Cost Per Purchase for Retail in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Retail cost-per-purchase in Spain averaged 36.25 over Oct 2024–Aug 2025, around 26% below the global baseline (49.24), indicating below-market costs for most of the period.
  • Peak-to-trough range was wide: a high of 90.40 in October 2024 and a low of 14.08 in July 2025 (a 6.4x swing). The global range was much narrower (1.25x).
  • Month-to-month volatility was high in Spain (average absolute change 46.6%) versus the global trend (4.7%).
  • From the first to the last month observed, Spain’s costs fell 57.2%; the global baseline declined 2.1%.
  • Seasonally, the global pattern rises in December–February, while Spain’s Retail showed an October spike, softer November–December, a mid-spring lift, a July trough, and an August rebound.

This analysis looks at cost-per-purchase trends for industry Retail 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.

Spain Retail cost-per-purchase highlights

  • Overall level: Average 36.25 across 11 months.
  • Highs and lows: Highest in October 2024 (90.40); lowest in July 2025 (14.08). The peak-to-trough spread was 76.32.
  • Trend: From October 2024 to August 2025, costs declined by 57.2%.
  • Volatility: Large month-to-month swings (average absolute change 46.6%). Notable moves:
  • October → November: -63.1%
  • November → December: -31.3%
  • March → April: +57.1%
  • May → June: -44.0%
  • June → July: -45.0%
  • July → August: +174.9%
  • Seasonality: The series shows an outlier October spike, subdued November–December, a lift into April–May, a sharp summer trough in July, then a strong August recovery.

Global baseline comparison

  • Overall level: Average 49.24 (Oct 2024–Aug 2025), placing Spain’s Retail below market by roughly 26%.
  • Highs and lows: Global high in February 2025 (53.89); low in November 2024 (43.19). Range is 10.70, far more stable than Spain’s spread.
  • Trend: From October 2024 to August 2025, the global series slipped 2.1%.
  • Volatility: Average absolute month-to-month change of 4.7%, indicating steady conditions compared to Spain’s fluctuations.
  • Seasonal pattern: The global trend typically rises in Q4–early Q1, peaking around February, and eases into summer months.

How Spain compares month by month

  • Above market only in October 2024 (90.40 vs. 46.67).
  • Below the global baseline in every subsequent month (November 2024 through August 2025), most notably in July 2025 (14.08 vs. 46.21).
  • August’s rebound (38.70) remained slightly below the global level (45.69), suggesting a recovery but still below average.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Retail 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 Retail 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.