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Facebook Ads Cost Per Purchase Benchmarks for Textiles in Spain

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Cost Per Purchase for Textiles in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads benchmarks: cost per purchase trends

This analysis looks at cost per purchase trends for industry Textiles 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.

Key takeaways

  • Overall level: Spain–Textiles runs above market, averaging 76.33 versus the global 49.02 (about 56% higher).
  • Seasonality: Clear Q4 uplift with a December peak, followed by a steady Q1–Q3 normalization; baseline also rises modestly in Q4–Q1.
  • Volatility: Spain–Textiles is highly volatile (average month-to-month movement ~27%); the global baseline is steady (~4%).
  • Trajectory: From September 2024 to August 2025, Spain–Textiles fell 54.6%, while the baseline slipped only 2.0%.

Spain–Textiles: selected data summary (Sep 2024–Aug 2025)

  • Average: 76.33
  • High/low: High 122.50 (December 2024); low 32.57 (July 2025)
  • Range: 89.94 between peak and trough
  • First-to-last change: 106.48 (September 2024) to 48.38 (August 2025), down 54.6%
  • Notable moves:
  • Q4 spike: +33.8% from November (91.58) to December (122.50)
  • Largest month-to-month swings:
  • Increases: +48.6% (July → August), +45.8% (May → June)
  • Decreases: -45.4% (June → July), -36.1% (February → March)
  • Seasonal pattern: Costs rise into Q4, peak in December, then trend down through spring, bottoming in July with a rebound in August.

Global baseline overview (Sep 2024–Aug 2025)

  • Average: 49.02
  • High/low: High 53.89 (February 2025); low 43.19 (November 2024)
  • First-to-last change: 46.60 (September 2024) to 45.69 (August 2025), down 2.0%
  • Volatility: Average absolute month-to-month change ~4.3% (about 2.04 in level terms)
  • Seasonal pattern: Modest uplift from November to February (+19.3% Nov → Dec), then returns to a 46–51 band.

Comparative insights

  • Relative position: Spain–Textiles sits above market in 10 of 12 months. It dips below the baseline in May (40.87 vs 50.97) and July (32.57 vs 46.21), before moving back near/above market in August (48.38 vs 45.69).
  • Magnitude of difference:
  • Q4 gap is pronounced: December shows 122.50 vs 51.53 globally (well above market).
  • By late Q2–Q3, Spain–Textiles compresses toward or below global levels as costs normalize.
  • Stability: The global baseline remains tight within 43–54, while Spain–Textiles fluctuates widely (multiple ±25–45% month-to-month moves), indicating higher variability in acquisition costs for this segment.

Seasonality and volatility at a glance

  • Seasonal uplift: Costs typically increase in Q4 around holiday periods; Spain–Textiles shows a sharper Q4 lift than the global pattern.
  • Post-holiday normalization: From January through July, Spain–Textiles steadily declines, with a mid-summer trough and a late-summer rebound.

Understanding cost per purchase benchmarks on Facebook Ads in industry Textiles 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 Textiles 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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