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Facebook Ads Cost Per Purchase Benchmarks for Public Administration in Spain

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Cost Per Purchase for Public Administration in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Public Administration 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.
  • No selected-data points were available for Public Administration in Spain over the provided period, so direct comparison to the global baseline is not possible. The global baseline is summarized below to offer context.
  • Globally, cost-per-purchase averaged about 47.73 over the 13 months observed, with a high in February 2025 and a notable drop by September 2025.
  • Seasonality is evident: costs rose into December and peaked through early Q1 before steadily easing over the summer, with a sharp decline in September 2025.

Scope and framing

  • Metric: cost-per-purchase (median by month)
  • Industry: Public Administration
  • Country: Spain
  • Selected data: no observations provided for the period
  • Baseline: global monthly medians from September 2024 to September 2025

Global baseline overview

  • Overall average (Sep 2024–Sep 2025): 47.73
  • Median: 46.96
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Range: 21.60
  • Change from first to last month: down 30.7% (from 46.60 in Sep 2024 to 32.29 in Sep 2025)
  • Month-to-month volatility (average absolute change): ~2.99
  • Largest single-month move: -13.40 from August to September 2025
  • Other notable moves: +8.34 from November to December 2024; -4.01 from May to June 2025

Seasonal patterns and timeline

  • Q4 (Oct–Dec 2024): Mixed but seasonally elevated. After a dip in November (43.19), December spiked to 51.53, aligning with typical holiday pressures.
  • Early Q1 (Jan–Mar 2025): Peak period. January–March remained elevated (52.31–53.89–52.61), the highest stretch in the series.
  • Late spring to summer (May–Aug 2025): Gradual easing from 50.97 in May to 45.69 in August, trending downward and stabilizing near mid-40s.
  • September 2025: A sharp dip to 32.29, the lowest point in the series, pulling the overall average down and driving most of the volatility.

Selected data vs. global baseline

  • Public Administration in Spain: No monthly medians were available for the timeframe, so we cannot determine whether Spain’s Public Administration cost-per-purchase is above market, below average, or in line with overall trends.
  • Global context: The baseline indicates higher costs around December and early Q1, followed by a progressive decline through the summer and a steep drop in September 2025. Without selected-data points, this serves only as a directional benchmark.

What this means for benchmarks

  • In the absence of country- and industry-specific observations for Public Administration in Spain, the global baseline highlights typical Facebook Ads benchmarks for cost-per-purchase over the last year: elevated in Q4 and Q1, moderating mid-year, with an unusually sharp decline at the end of the period.

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