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Facebook Ads Cost Per Purchase Benchmarks for SaaS & Cloud Platforms in Denmark

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

Cost Per Purchase for SaaS & Cloud Platforms in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • For SaaS & Cloud Platforms in Denmark, the median cost-per-purchase averaged 143.23 over the last 12 months—about 2.9x above the global baseline (49.02).
  • Costs were highly volatile: average month‑to‑month movement was 43.23 versus just 2.04 on the global series.
  • The period opened at 64.57 (Sep 2024) and closed at 209.83 (Aug 2025), a +225% increase, while the global benchmark edged down ~2%.
  • The selected series dipped into late Q4 (low of 57.91 in Dec 2024) before a sharp run-up in late Q2–Q3 2025 (peak of 330.63 in Jul 2025). Globally, costs followed a steadier Q4–Q1 lift, in line with common seasonal trends.

Scope and dataset

This analysis looks at cost-per-purchase trends for industry SaaS & Cloud Platforms 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.

Selected trend highlights

  • Average: 143.23; Median high: 330.63 (Jul 2025); Low: 57.91 (Dec 2024).
  • Volatility: average absolute month‑to‑month change of 43.23.
  • Notable movements:
  • Oct 2024 rose +58% vs Sep; Nov fell −38%; Dec reached the period low.
  • Feb–Apr 2025 climbed steadily, then May surged +124.8% vs Apr (+143.30 points).
  • Jul hit the peak (330.63); Aug corrected −36.5% month‑over‑month but remained elevated (209.83).
  • First to last month: +225% (64.57 → 209.83).

How it stacks up to the global baseline

  • Baseline (global) average: 49.02; High: 53.89 (Feb 2025); Low: 43.19 (Nov 2024).
  • Baseline volatility: average absolute month‑to‑month change of 2.04, with the largest lift from Nov → Dec (+19.3%).
  • Relative position:
  • The selected series sat above market in every month (at least 1.1x higher in Dec 2024 and up to ~7.1x higher in Jul 2025).
  • Over the same window, the baseline trended within a narrow 43–54 band and finished slightly lower (−1.95%), while Denmark SaaS & Cloud Platforms escalated sharply (+225%), indicating much stronger upward pressure than the global norm.

Seasonality and volatility signals

  • Seasonal context:
  • Global costs typically rise into late Q4 and Q1; the baseline shows this pattern (Nov low to Dec–Feb lift).
  • Denmark’s SaaS & Cloud Platforms deviated: after an October spike, costs softened into November–December before a pronounced surge from late Q2 into Q3.
  • Volatility contrast: the selected market’s swings (e.g., +143 points in May; −121 points in Aug) were far larger than the baseline’s most notable monthly moves (generally within ±8 points).

Highs, lows, and end-of-period change

  • Selected highs/lows: 330.63 (Jul 2025) vs 57.91 (Dec 2024); range 272.72.
  • Baseline highs/lows: 53.89 (Feb 2025) vs 43.19 (Nov 2024); range 10.70.
  • End-point comparison: Aug 2025 stood at 209.83 in Denmark vs 45.69 globally, placing the selected series well above average and outpacing overall trends.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry SaaS & Cloud Platforms 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 SaaS & Cloud Platforms 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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