See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
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 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:
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.
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.
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.
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.
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.
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.
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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Christmas & Boxing Day (late Dec), Easter holidays (groceries, travel, tourism), Mother's Day and Valentine's Day
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.
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.
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.
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.
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.
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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Cost per thousand impressions across different markets
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Cost per lead across different markets
Average cost per purchase benchmarks across industries
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