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Facebook Ads Cost Per Purchase Benchmarks for Public Administration in Denmark

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Cost Per Purchase for Public Administration in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: summary and takeaways

This analysis looks at cost-per-purchase trends for industry Public Administration and target country Denmark compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • The selected segment (Public Administration in Denmark) has no reported monthly observations in the period provided, so a direct in-market benchmark is not available.
  • Globally, cost-per-purchase averaged 47.82 over the last 12 months, peaking at 53.89 in February 2025 and bottoming at 32.29 in September 2025.
  • From the first month observed (October 2024) to the last (September 2025), global costs fell by 30.8%.
  • Volatility was moderate overall, with an average absolute month-to-month move of ~7.0%, punctuated by a December spike (+19.3% vs. November) and a sharp September dip (-29.3% vs. August).
  • Clear seasonality: costs rose into late Q4 and Q1, then eased through late spring and summer, with a pronounced drop in early fall.

About the selected segment (Public Administration, Denmark)

  • Data availability: No monthly median cost-per-purchase values were reported for this segment in the timeframe provided.
  • As a result, we cannot compute averages, highs/lows, or volatility for Denmark Public Administration, nor position this segment as above/below market.

Global baseline trend (all industries, all countries)

  • Timeframe: Oct 2024–Sep 2025 (12 months)
  • Average cost-per-purchase: 47.82
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • First-to-last change: -30.8% (46.67 in October 2024 to 32.29 in September 2025)
  • Month-to-month volatility: ~7.0% average absolute change
  • Notable moves:
  • December 2024 rose +19.3% vs. November
  • September 2025 fell -29.3% vs. August
  • Seasonal effects:
  • Q4 uplift: October–December averaged 47.13, with December elevated versus November.
  • Q1 peak: January–March averaged 52.94, the highest quarterly period in the year.
  • Gradual easing: Costs trended down from spring into summer, then dropped materially in September.

Comparison to the selected segment

  • With no recorded observations for Denmark Public Administration, a direct comparison to the global baseline is not possible.
  • The global baseline offers the most recent directional context: higher costs in late Q4 and Q1, followed by a steady normalization and a notable early-fall dip.

What this means for benchmarking

  • In the absence of Denmark Public Administration data, the global series serves as a reference for seasonal expectations: elevated cost-per-purchase in Q4–Q1, softer through summer, and a sharp decline in September in this dataset.

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

Denmark Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 17Maundy Thursday
Apr 18Good Friday
Apr 20Easter Sunday
Apr 21Easter Monday
May 29Ascension Day
Jun 8Whit Sunday
Jun 9Whit Monday
Dec 25Christmas Day
Dec 26Second Day of Christmas

Key Shopping Season

Christmas & Boxing Day (late Dec), Easter holidays (groceries, travel, tourism), Mother's Day and Valentine's Day

Potential Advertising Impact

CPM and CPC could rise during Easter period due to travel-related campaigns. Late December ad competition might intensify in retail and hospitality. Whit Weekend might reduce weekday competition. Strict retail closures on holidays could drop competition, but pre-holiday CPMs may escalate.

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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