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Facebook Ads Cost Per Purchase Benchmarks for E-commerce in Denmark

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

Cost Per Purchase for E-commerce in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry E-commerce 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.
  • Overall level: Denmark’s E-commerce cost per purchase averaged 44.53 across the period, about 6.7% below the global baseline (47.73) — generally below market.
  • Volatility: Denmark showed higher month-to-month variability (average swing 8.89, ~20% of its mean) versus the baseline’s 2.99 (~6% of its mean).
  • Seasonality: A mild Q4 lift appears in Denmark with a notable November uptick, while the global trend peaks more clearly in December and remains elevated into Q1. The sharpest movement in Denmark occurred in summer 2025, with a July–August spike followed by a September correction.
  • Net change: Denmark declined 8.6% from September 2024 to September 2025 (36.95 to 33.79), while the global trend fell more steeply by 30.7% over the same window (46.60 to 32.29).

Denmark E-commerce cost per purchase: data highlights

  • Average: 44.53 across 13 months.
  • High and low:
  • High: 72.84 in August 2025.
  • Low: 33.79 in September 2025.
  • Peak-to-trough range: 39.06.
  • Notable spikes and dips:
  • November 2024 rose to 48.25 (+11.17 vs October), then eased to 43.17 in December.
  • A marked mid-year surge: 56.20 in July and 72.84 in August, followed by a sharp correction to 33.79 in September (−39.06 month-over-month).
  • Volatility: Average month-to-month absolute change of 8.89 (about 20% of the average level), indicating a relatively choppy trend line.
  • Start-to-end change: −8.6% from September 2024 (36.95) to September 2025 (33.79).

How Denmark compares with the global baseline

  • Average level: Denmark 44.53 vs global 47.73 — below market overall.
  • High and low:
  • Global high: 53.89 in February 2025; global low: 32.29 in September 2025; range: 21.60 (narrower than Denmark’s 39.06).
  • Volatility: Global average month-to-month swing of 2.99 — considerably steadier than Denmark.
  • Month-by-month positioning:
  • Below market through much of H1 2025; for example, March 2025 was 34.99 in Denmark vs 52.61 globally (about 33% lower).
  • Above market in summer: July 2025 was 56.20 vs 46.21 globally (+21.6%); August 2025 was 72.84 vs 45.69 (+59.4%).
  • September 2025 ended close to global (33.79 vs 32.29; ~4.6% above).
  • Seasonality comparison:
  • Denmark: modest Q4 lift with a November spike (48.25) and a softer December (43.17).
  • Global: clearer December peak (51.53) and elevated costs into Q1 2025 (January–February 52–54).

Seasonal patterns to note

  • Q4 pressure is visible, but Denmark’s E-commerce pattern shows a stronger summer spike in 2025 (July–August) followed by a sharp September reset.
  • The global trend exhibits the more classic holiday rise in December and sustained early-year strength.

Understanding cost per purchase benchmarks on Facebook Ads in industry E-commerce 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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.