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Facebook Ads Cost Per Purchase Benchmarks for Fitness & Training Centers in Spain

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Cost Per Purchase for Fitness & Training Centers in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B in aggregated ad spend, cost-per-purchase for Fitness & Training Centers in Spain is well above market: the November 2024–March 2025 average is 7.25x the global baseline (+625%).
  • The selected series is highly volatile (average month-to-month absolute change ≈49%), driven by a sharp November spike and a steep decline into March; the global baseline is comparatively steady (~6.5%).
  • A clear seasonal pattern appears: a pronounced peak in November (Q4) followed by normalization in December–January and another lift in February before a March low. The global trend typically edges up into winter and softens slightly after February.

What this analysis covers

This analysis looks at cost-per-purchase trends for industry Fitness & Training Centers and target country Spain compared to the global trend. It is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Selected data overview (Fitness & Training Centers, Spain)

Period: Nov 2024–Mar 2025

  • Average: 367.50
  • Median: 212.04
  • High: 1,117.75 (Nov 2024)
  • Low: 98.86 (Mar 2025)
  • Range: 1,018.89
  • Change from first to last month: -91.2%
  • Volatility: average month-to-month absolute change ≈49%
  • Notable movements:
  • November surge to 1,117.75, the series peak.
  • Quick normalization in December (212.04) and further easing in January (171.89).
  • February uptick to 236.96.
  • March dip to the series low (98.86).

Comparison to the global baseline

Overlap period: Nov 2024–Mar 2025

  • Baseline average: 50.71 (median 52.31; high 53.89 in Feb; low 43.19 in Nov)
  • Baseline change Nov→Mar: +21.8%
  • Baseline volatility: ~6.5% average month-to-month absolute change

Relative positioning (Spain vs. baseline):

  • Average: Spain is 7.25x above market (+625%).
  • By month:
  • Nov: 25.9x above market (1,117.75 vs. 43.19)
  • Dec: 4.12x
  • Jan: 3.29x
  • Feb: 4.40x
  • Mar: 1.88x
  • Trajectory: While the baseline rose modestly into February and eased slightly in March, Spain’s series collapsed from an exceptional November spike and stabilized closer to, but still above, global levels by March.

Seasonality and broader context

  • Seasonal pattern in Spain aligns with common Q4 dynamics: costs typically increase in Q4 around holiday periods, as seen in the November peak, then cool through January, with a brief February lift.
  • In the broader global baseline (Oct 2024–Sep 2025), levels are relatively tight, with a high in February (53.89) and a low in September (32.29), reinforcing that the Spanish Fitness & Training Centers segment is operating above average and with materially higher variability.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Fitness & Training Centers 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 Fitness & Training Centers 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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