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Facebook Ads Cost Per Purchase Benchmarks for Software Development in Denmark

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Cost Per Purchase for Software Development 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 looks at cost-per-purchase trends for industry Software Development and target country Denmark compared to the global trend.
  • Denmark’s cost-per-purchase sits materially above market: average 73.54 vs. a global baseline of 49.24 (+49%).
  • Volatility is high in Denmark: average month-to-month move is 20.25 (32% in percentage terms) versus just 2.24 (4.7%) on the global baseline.
  • The series peaks in late Q2/early Q3 and troughs in early spring: high in June (125.75), low in March (37.27). From the first month (Oct) to the last (Aug), Denmark rises +39.8%.
  • 10 of 11 months in Denmark are above the global baseline; only March is below it.

Metric overview

  • Average: 73.54 across Oct 2024–Aug 2025.
  • High/low: High in June 2025 at 125.75; low in March 2025 at 37.27. Range: 88.48 (a 3.37x swing from low to high).
  • Momentum:
  • Oct → Dec 2024 moved within the 48–58 band (moderate).
  • Jan → Feb 2025 climbed to 72.54 before a sharp March dip to 37.27 (-48.6% MoM).
  • A strong rebound followed: April 54.15, then a spike in May 118.76 (+119% MoM) and a peak in June 125.75 (+5.9% MoM).
  • Cooling in July 101.86 and August 81.33 (-20.2% MoM), but still elevated.
  • First-to-last change: 58.17 (Oct 2024) to 81.33 (Aug 2025) = +39.8%.

Comparison to the global baseline

  • Baseline average: 49.24 (Oct 2024–Aug 2025), with a mild high in Feb 2025 (53.89) and low in Nov 2024 (43.19). First-to-last drift: -2.1%.
  • Denmark vs. baseline:
  • Average premium: +24.30 points (+49%).
  • Stability: Denmark’s average absolute MoM move is 20.25 vs. 2.24 for baseline (32% vs. 4.7%).
  • Share of months above market: 10/11 months.
  • Notable gaps:
  • March 2025: 37.27 in Denmark vs. 52.61 baseline (29% below market).
  • May 2025: 118.76 vs. 50.97 (+133% above market).
  • June 2025: 125.75 vs. 46.96 (+168% above market; ~2.7x).
  • August 2025: 81.33 vs. 45.69 (+78% above market).

Seasonality and volatility

  • Baseline shows a gentle seasonal lift around December–February, then gradual easing into summer—consistent with broader Facebook Ads benchmarks.
  • Denmark diverges with a pronounced late Q2 surge (May–June) followed by a Q3 cooldown, and an early-spring trough in March.
  • The pattern indicates sharper seasonal amplitude in Denmark’s Software Development segment than observed globally.

Summary

Denmark’s Software Development cost-per-purchase is consistently above market and markedly more volatile, with a clear spike in May–June and a deep dip in March. On average it is 49% higher than the global baseline, with 10 of 11 months priced above market and a first-to-last increase of 39.8%. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Software Development 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 Software Development 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.