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November 2024 - November 2025
Detailed observation of presented data
All industries in Denmark posted a whiplash year for Facebook Ads Cost Per Purchase (CPP): a quiet start, two outsized spikes in late winter and spring, and a dramatic slide into October. Despite ending the period at its lowest point, Denmark’s CPP spent most months far above the global benchmark, with volatility that dwarfed the steadier global trend. 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.
Across the observed window (Nov 2024–Oct 2025), Denmark’s CPP began at 27.44 in November and finished at 11.54 in October, a 58% decline end-to-end. In between, the market swung from a high of 1,724.69 in April to that 11.54 October low. The period average landed at 343, heavily skewed by the April and February surges (1,187.52 in February). A median month in Denmark was 111.51, and a trimmed average excluding February and April comes to roughly 96 — still about double the global level.
Month-to-month moves underscore the turbulence. Denmark’s average absolute monthly change was approximately 583 points, versus just 2.54 points globally — more than 200× greater volatility. Nine of the 11 observed months ran above the market, with especially sharp overhangs in February (+2,106% vs. global) and April (+3,244%). The narrowest gaps came at the bookends: November was 36% below the global benchmark, and October was 73% below.
Globally, CPP remained compact, averaging about 49 across the same months (range: roughly 43–54) and finishing only 2% higher than where it started. That steadiness throws Denmark’s amplitude into sharp relief.
While global CPP typically moves within a narrow band and often softens toward late Q3–Q4, Denmark’s pattern featured sharp surges in late winter and spring and an unusually deep drop at the start of Q4.
In sum, Facebook Ads benchmarks for cost per purchase show Denmark’s all-industries market oscillating between brief under-market lows and prolonged, pronounced premiums versus the world. Understanding cost-per-purchase benchmarks — alongside CPC trends, CPM analysis, and CTR performance — helps clarify country-specific ad costs and industry ad performance. This snapshot grounds Facebook Ads cost-per-purchase benchmarks for all industries in Denmark against the global pattern.
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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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.
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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