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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

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Denmark’s cost-per-purchase tells a dramatic story this year: elevated, erratic, and frequently far above the global benchmark. Across all industries, Denmark’s CPP averaged about 356 over the observed months, versus a global average of roughly 50.6 over the same period. The curve is defined by sharp spikes in February and April, a mid-year cool-down, an October trough, and a late-year rebound. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for all industries in Denmark compared to the global benchmark.

The story in the data

The period opens at 56.48 in December 2024 and closes at 156.59 in November 2025, a net rise of about 177%. In between, the path is anything but linear:

  • High: April peaks at 1,724.69, with an earlier surge in February (1,187.52).
  • Low: October drops to 11.76, the clear outlier on the downside.
  • Average: 355.93, heavily skewed by the two Q1–Q2 spikes.
  • Median: 145.96, which better reflects “typical” months than the mean.
  • Range: a sweeping 1,712.93 from low to high.

Month-to-month movement underscores the turbulence. January jumps +174% from December, February surges +669%, March collapses −91%, April spikes +1,447%, and May resets −96%. Through summer the pace eases (June and July sit near 146–208), before sliding into September (85.90), bottoming in October (11.76), and rebounding in November (+1,232% from October) to 156.59. On average, absolute monthly swings were extreme—about 405%—signaling a highly choppy acquisition cost environment.

Seasonal and monthly dynamics

The rhythm looks unconventional. Where many markets see steadier Q1 and rising pressure into Q4, Denmark’s pattern concentrates intensity in late Q1 and early Q2, with February and April forming the year’s dramatic crest. Early summer shows a temporary normalization, while September softens further. October stands out as an atypical trough before November bounces back to mid-range levels for the year. Data is available for 11 of 12 months (August not present), but the observed cadence suggests bursts of competition and conversion cost friction punctuated by sudden resets.

Country vs. Global

Relative to the global benchmark, Denmark is consistently higher in 10 of 11 months. The gap is widest in April, when Denmark’s CPP runs about 33× the global median for that month (+3,208%), and narrowest in December (+26% above global). October is the lone under-market month, landing 77% below global. On level, Denmark’s median CPP (145.96) is nearly three times the global median for the same months (≈51.44). On stability, the contrast is stark: Denmark’s average absolute month-to-month change is roughly 405%, while the global series moves by about 5% on average. The global trend line itself stays tightly banded between 45 and 55, easing slightly into Q4, whereas Denmark’s line whipsaws.

Closing

For Facebook Ads benchmarks, the country-specific ad costs for cost per purchase in Denmark are markedly higher and more volatile than the global norm across all industries. While CPC trends and CPM analysis often draw attention, this CPP lens shows how acquisition costs in Denmark surged, reset, and surged again—ultimately closing the year far above the global pattern. Understanding Facebook Ads cost-per-purchase benchmarks for all industries in Denmark helps marketers contextualize CPP performance against a steady global baseline.

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.