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Facebook Ads Cost Per Purchase Benchmarks for Gaming in Denmark

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Cost Per Purchase for Gaming in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

  • Main takeaways
  • Across the overlapping period (Oct 2024–May 2025), Gaming in Denmark shows a higher average cost-per-purchase than the global baseline: 64.26 vs 49.76 (+29% above market).
  • Q4 2024 costs are exceptionally low (0.50 → 0.16), followed by an extreme spike in January 2025 to 255.72 (+1600x month over month), then a partial normalization to 55.57 in February and 73.44 in May.
  • The global baseline remains stable in a 43–54 range with a mild Q1 uplift, indicating Denmark’s Gaming trend is far more volatile than overall trends.
  • From first to last observed month, Denmark’s series rises by roughly +14,600% (0.50 to 73.44), while the global baseline increases by about +9% over the same span.
  • This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Scope and framing

This analysis looks at cost-per-purchase trends for industry Gaming and target country Denmark compared to the global trend in Facebook Ads benchmarks. We focus on monthly medians and compare the selected data to the global baseline for the months where both are available.

Selected data overview (Gaming, Denmark)

  • Period coverage: Oct 2024–May 2025 (with gaps in March–April).
  • Average: 64.26; median: 28.04, indicating a highly skewed distribution due to a January spike.
  • High/low: peak at 255.72 (Jan 2025); trough at 0.16 (Dec 2024).
  • First-to-last change: about +14,600% (0.50 in Oct 2024 to 73.44 in May 2025).
  • Volatility:
  • Oct→Nov: −67%
  • Nov→Dec: −3%
  • Dec→Jan: +1600x
  • Jan→Feb: −78%
  • Feb→May: +32%
  • Range spans 0.16–255.72, underscoring extreme variability.

Notable monthly highlights:

  • Q4 2024: unusually low medians (Oct 0.50, Nov 0.16, Dec 0.16).
  • Jan 2025: sharp surge to 255.72.
  • Feb 2025: pullback to 55.57.
  • May 2025: 73.44, still well above the Q4 2024 levels.

Baseline comparison (global)

  • Average across the same months: 49.76 (vs 64.26 in Denmark’s Gaming).
  • High/low: 53.89 (Feb 2025) and 43.19 (Nov 2024).
  • First-to-last change (Oct 2024→May 2025): +9% (46.67 to 50.97).
  • Volatility is modest compared to Denmark’s Gaming, with values staying within a relatively narrow corridor (43–54).

Relative positioning by month:

  • Oct–Dec 2024: Denmark’s Gaming sits far below market (e.g., Dec: 0.16 vs global 51.53).
  • Jan 2025: markedly above market (255.72 vs 52.31, ~4.9x).
  • Feb 2025: broadly in line to slightly above market (55.57 vs 53.89, +3%).
  • May 2025: above market (73.44 vs 50.97, +44%).

Seasonality and pattern read

  • Global baseline shows a familiar seasonal lift from December through February, consistent with holiday and post-holiday dynamics.
  • Denmark’s Gaming follows the timing of the seasonal peak (January), but the magnitude is an outlier relative to the global pattern.
  • Overall, the selected time series is substantially more volatile than the baseline, with a wider range and larger month-to-month swings.

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