Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Public Safety in Spain

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

Cost Per Purchase for Public Safety in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

This analysis of Facebook Ads cost-per-purchase is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Main takeaways:
  • The selected segment (Public Safety in Spain) has no available monthly data in the provided period, so relative positioning versus market cannot be quantified.
  • The global baseline shows a clear seasonal rise into December–February, followed by steady easing through summer and a sharp drop in September.
  • Baseline average cost per purchase across the period is 47.82, with a high of 53.89 (February 2025) and a low of 32.29 (September 2025).
  • From the first to the last month (October 2024 to September 2025), the baseline declined 30.8%.
  • Volatility was moderate on average (about 7.0% month over month), with the largest upswing in December 2024 (+19.3% vs. November) and the steepest drop in September 2025 (-29.4% vs. August).

Scope and data coverage

This report looks at cost per purchase trends for industry Public Safety and target country Spain compared to the global trend. The selected_data series is empty for the stated timeframe, so the analysis focuses on the global baseline as the only available benchmark. No direct “above market” or “below average” positioning can be stated for the selected segment due to missing localized data.

Global baseline overview (median cost per purchase)

  • Period covered: October 2024 to September 2025.
  • Average: 47.82.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • First-to-last change: -30.8% (from 46.67 in October 2024 to 32.29 in September 2025).
  • Volatility (average absolute month-to-month change): ~6.98%.

Notable spikes and dips:

  • November → December 2024: +19.3% surge (43.19 to 51.53).
  • August → September 2025: -29.4% drop (45.69 to 32.29).

Seasonal patterns and volatility

  • Q4 behavior: Costs softened in November and then rose into December, consistent with holiday-driven competition. Q4 average was 47.13.
  • Q1 peak: January–March averaged 52.94, about 12% higher than Q4, with the cycle high in February.
  • Summer softness: June–August averaged 46.29, below the full-period mean.
  • Sharp year-end reset: September recorded the period low, pulling the full-period trend down 30.8% from the starting point.

Comparison to the selected segment

  • Data availability: No monthly observations are available for Public Safety in Spain within the timeframe. As a result, relative performance (above market, below average, or in line with overall trends) cannot be determined for the selected segment.
  • Market proxy: The global baseline serves as the reference point for overall cost-per-purchase conditions on Facebook Ads during the period.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry Public Safety 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 Public Safety 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.