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Facebook Ads Cost Per Purchase Benchmarks for Manufacturing in Denmark

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Cost Per Purchase for Manufacturing in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Context: This analysis looks at cost-per-purchase trends for industry Manufacturing 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.
  • Level: Denmark’s Manufacturing median cost-per-purchase averaged 681.23 over the period—about 14.2x above the global baseline (47.82).
  • Volatility: The Denmark series is highly volatile (average month-to-month absolute change 278.8%; 59% when excluding January’s outlier) versus 7.0% for the baseline.
  • Direction: From the first to the last observed month, Denmark declined 30.7%, broadly in line with the global baseline’s 30.8% decline.
  • Seasonality: Q4 2024 fell in Denmark (October to December), while the global baseline ticked up into December–January; Denmark spiked sharply in January 2025 before normalizing through spring and summer.

Overview of the selected series (Manufacturing, Denmark)

  • Timeframe: October 2024 to August 2025 (no data for March 2025).
  • Average: 681.23. Median monthly values fluctuate widely.
  • High and low:
  • High: January 2025 at 4,068.76.
  • Low: July 2025 at 162.77.
  • Start vs end: From 517.08 in October 2024 to 358.06 in August 2025 (−30.7%).
  • Notable moves:
  • Q4 2024 cooled: October 517.08 → November 269.42 (−47.9%) → December 190.53 (−29.3%).
  • January 2025 spiked to 4,068.76 (+2,035.6% vs December), then fell back to 270.16 in February (−93.4%).
  • Post-spike normalization ranged roughly 162.77–436.75 from April to August, with a trough in July (−62.7% vs June) and rebound in August (+120.0% vs July).

Global baseline comparison

  • Average: 47.82 across October 2024 to September 2025.
  • High and low:
  • High: February 2025 at 53.89.
  • Low: September 2025 at 32.29.
  • Start vs end: 46.67 in October 2024 → 32.29 in September 2025 (−30.8%).
  • Volatility: Stable, with an average absolute month-to-month change of 7.0%.
  • Seasonal pattern: After a softer November, the baseline rose in December–February, consistent with holiday/Q1 effects, and eased gradually into late summer, with a sharper drop into September.

How Denmark compares to the global market

  • Level positioning: Denmark Manufacturing is consistently above market. Even the local low (162.77 in July) is 3.4x the global average; the January peak is ~78x the global average (vs January’s global 52.31).
  • Relative trends:
  • Both series show a similar end-to-end decline (~−31%), but Denmark’s path is far more erratic.
  • Q4 divergence: Denmark trended down through December, while the global baseline firmed into December and January.
  • Post-January, Denmark oscillated between 200–440 for most months, still well above the global baseline band of roughly 45–54.

Seasonality and volatility notes

  • Denmark’s Manufacturing costs did not show a typical Q4 rise; instead they fell into December, then surged in January before normalizing.
  • Excluding the January spike, Denmark’s average absolute month-to-month change (59%) is roughly 8.4x the global baseline’s volatility; including it, volatility is ~40x higher. This indicates markedly higher month-to-month instability in Denmark than the global trend.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry Manufacturing 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 Manufacturing 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.