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Facebook Ads Cost Per Purchase Benchmarks for Consulting in Denmark

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Cost Per Purchase for Consulting in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, this analysis reviews cost-per-purchase trends for industry Consulting in Denmark versus the global trend.
  • Overall level: Denmark’s Consulting cost-per-purchase is below market on average (37.83 vs 49.22 across overlapping months, ≈23% lower than the global baseline).
  • Seasonality: Clear Q4 build-up with a December spike, a sharp Q1 drop (especially February), and a mid-year surge in July. The global baseline also rises into December–February and softens into late summer.
  • Volatility: Denmark shows high volatility between reported months (average absolute change ≈80%), while the global baseline is steadier (≈6.4% average month-to-month change).
  • Extremes: Denmark ranges from 8.69 (Feb 2025) to 77.81 (Jul 2025). The global baseline over the same months ranges narrower, from 43.19 (Nov 2024) to 53.89 (Feb 2025).

Scope and framing

This analysis looks at cost-per-purchase trends for industry Consulting and target country Denmark compared to the global trend.

Denmark Consulting: trend highlights (selected data)

  • Average across reported months (Sep 2024–Jul 2025): 37.83.
  • High: 77.81 in Jul 2025.
  • Low: 8.69 in Feb 2025.
  • First-to-last change: from 25.49 (Sep 2024) to 77.81 (Jul 2025), up ≈205%.
  • Notable moves:
  • Q4 climb: 25.49 (Sep) → 43.78 (Oct) → 40.69 (Nov) → 58.19 (Dec).
  • Q1 pullback: 27.29 (Jan) → 8.69 (Feb), the period low.
  • Rebound: 28.75 (Apr) → 29.74 (May), followed by a spike to 77.81 in Jul.
  • Volatility between reported months: average absolute change ≈79.9%, with the largest jumps Feb→Apr (+231%) and May→Jul (+162%).

Global baseline: trend highlights

  • Average (Sep 2024–Sep 2025): 47.73; across the same months as the selected series: 49.22.
  • High: 53.89 in Feb 2025; low: 32.29 in Sep 2025 (overlapping-month low: 43.19 in Nov 2024).
  • First-to-last change: from 46.60 (Sep 2024) to 32.29 (Sep 2025), down ≈30.7%.
  • Volatility: relatively steady month-to-month (average absolute change ≈6.4%).
  • Seasonal pattern: costs typically rise into December–February, then moderate into summer, with a notable late-summer/early-fall dip in Sep 2025.

Denmark vs. global baseline

  • Relative level: Denmark’s Consulting cost-per-purchase sits below the global benchmark on average for overlapping months (≈23% lower).
  • By month (overlapping):
  • Below market: Sep, Oct, Nov, Jan, Feb, Apr, May.
  • Above market: Dec and Jul (Dec 58.19 vs 51.53; Jul 77.81 vs 46.21).
  • Range and stability: Denmark’s range (8.69–77.81) is far wider than the baseline’s overlapping range (43.19–53.89), indicating significantly higher variability locally.
  • Seasonal alignment: Both show Q4 run-ups; Denmark’s December spike is stronger. Denmark exhibits a sharper Q1 trough (especially February) and a pronounced July peak, whereas the baseline remains comparatively stable through these months.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Consulting 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 Consulting 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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