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Facebook Ads Cost Per Purchase Benchmarks in Denmark

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

Cost Per Purchase in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry All industries available and target country Denmark compared to the global trend, and is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Denmark’s cost-per-purchase is highly volatile and well above market overall: average 338.87 vs a global baseline of 49.32 (+~6.9x). Median is 111.51 vs a baseline median of 50.97.
  • Seasonal lift is visible in Q4 and early Q1, but Denmark shows extreme spikes in February (1,187.52) and April (1,724.69), far outpacing the steady global pattern.
  • From September to July, Denmark rises +406% overall (28.88 to 145.96), while the global trend is essentially flat (-0.8%).

Overview of Denmark’s cost-per-purchase

  • Range and outliers
  • High: 1,724.69 in April 2025.
  • Low: 10.25 in October 2024.
  • Notable spikes: February 2025 (1,187.52) and April 2025 (1,724.69).
  • Central tendency
  • Average: 338.87.
  • Median: 111.51.
  • Volatility
  • Average month-to-month absolute change: ~303%, indicating sharp swings.
  • Largest jumps/drops:
  • January → February: +668.7%.
  • March → April: +1,446.2%.
  • April → May: -95.8%.
  • February → March: -90.6%.
  • Trend from first to last observed month
  • September 2024 to July 2025: +406% (28.88 → 145.96).

Global baseline for context

  • Range and stability
  • High: 53.89 in February 2025.
  • Low: 43.19 in November 2024.
  • Central tendency
  • Average: 49.32.
  • Median: 50.97.
  • Volatility
  • Average month-to-month absolute change: ~4.6%, showing a stable, predictable pattern.
  • Overall change
  • September 2024 to July 2025: -0.8% (46.60 → 46.21).

Denmark vs. global baseline

  • Relative level
  • Denmark’s average cost-per-purchase is ~6.9x above the global average (338.87 vs 49.32).
  • Denmark sits below market in September–November 2024, then moves decisively above market from December 2024 through July 2025 (8 of 11 months above).
  • Highs and lows
  • Denmark’s peak (April 2025, 1,724.69) vastly exceeds the global peak (February 2025, 53.89).
  • The October 2024 trough (10.25) is well below the global floor (43.19), underscoring the extreme spread in Denmark.
  • Volatility comparison
  • Denmark’s month-to-month variation (~303%) is dramatically higher than the global baseline (~4.6%), indicating unusually unstable acquisition costs in this period.

Seasonal patterns

  • Q4 lift: Costs in Denmark climb from October to December (10.25 → 56.48), aligning with typical holiday-driven increases seen globally.
  • Q1 surge: Both datasets rise into February, but Denmark’s surge is outsized (peaking at 1,187.52), followed by a sharp March reset and a new April spike.
  • Post-spike normalization: After April’s high, Denmark falls back toward a still-elevated range (May–July: 72.49 to 145.96), remaining above global levels.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry All industries available 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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.