Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Manufacturing in Spain

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

Cost Per Purchase for Manufacturing in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data, the manufacturing segment in Spain shows cost per purchase levels well above market, with an average around 10x higher than the global baseline.
  • Volatility is extreme: average month-to-month change is 117.6% in the selected data versus 4.7% globally.
  • The period features a deep dip in November, a sharp spike in January, and a secondary rise in May–June. Overall change from October to August is +5.6%, while the global trend slips -2.1%.
  • Seasonal patterns diverge from typical Q4 increases; the global baseline shows a mild Q4/Q1 lift, but Spain’s manufacturing costs dip in November and surge in January.

Scope and context

This analysis looks at cost per purchase trends for industry Manufacturing in Spain compared to the global trend. Results are directional benchmarks drawn from $3B of Facebook Ads data.

Selected data overview

  • Average: 493.48 across 11 months (Oct 2024–Aug 2025).
  • High/low: Peak in Jan 2025 at 1,439.19; trough in Nov 2024 at 74.58. Range: 1,364.60.
  • Trend: From 400.66 in Oct 2024 to 423.18 in Aug 2025 (+5.6%).
  • Volatility: Average absolute month-to-month change of 117.6%.
  • Notable shifts:
  • Nov 2024 fell -81% from October, then Dec rebounded +266%.
  • Jan 2025 surged +427% vs December (period high), followed by Feb at -79%.
  • May 2025 jumped +197% vs April; Jul -43% vs June; Aug +4.8% vs July.

Interpretation for marketers: the cost curve is elevated and erratic, with abrupt swings around year-end and late spring/early summer.

Comparison to the global baseline

  • Average level: 49.24 (Oct 2024–Aug 2025), making Spain’s manufacturing costs about 10x above market.
  • High/low: Baseline high is 53.89 (Feb 2025) and low is 43.19 (Nov 2024); range 10.69.
  • Trend: Baseline moves from 46.67 (Oct 2024) to 45.69 (Aug 2025), a -2.1% drift.
  • Volatility: Average absolute month-to-month change of 4.7% (stable relative to the selected series).
  • Seasonal pattern: The baseline shows a modest lift from December through February and softening into mid-year—typical of holiday and early Q1 dynamics—contrasting with Spain’s pronounced November dip and January spike.

Positioning summary:

  • Level: Above market throughout the period.
  • Volatility: Far higher than the global norm.
  • Seasonality: Partly out of sync with the baseline; January is the most acute divergence.

Month-by-month highlights

  • Lowest point: Nov 2024 at 74.58, far below both October and the global baseline average.
  • Peak: Jan 2025 at 1,439.19 (26.7x the baseline high).
  • Secondary elevation: May–Jun 2025 at 741.71 and 712.86, before moderating to 403.99 in July and 423.18 in August.

Understanding cost per purchase benchmarks on Facebook Ads in industry Manufacturing 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 Manufacturing 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.