Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Retail in Denmark

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Retail in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • This analysis looks at cost-per-purchase trends for industry Retail and target country Denmark compared to the global trend.
  • Retail in Denmark ran above market on average: 66.33 vs 49.24 globally (+35% higher) across Oct 2024–Aug 2025.
  • The selected trend was highly volatile (average absolute month-to-month change ≈ 76.7%), versus a very stable global baseline (≈ 4.7%).
  • Largest spike occurred in Aug 2025 (266.93), while the lowest point was Dec 2024 (21.35). Overall change from first to last month: +430% (vs global −2%).

Selected trend overview (Retail, Denmark)

  • Period covered: Oct 2024–Aug 2025 (11 months).
  • Average cost-per-purchase: 66.33.
  • High: 266.93 in Aug 2025.
  • Low: 21.35 in Dec 2024.
  • First-to-last change: from 50.39 (Oct 2024) to 266.93 (Aug 2025), a +430% increase.
  • Volatility: very high month-to-month movement (avg absolute MoM change ≈ 76.7%). Notable swings:
  • Nov → Dec 2024: −57.5% (50.23 to 21.35)
  • Dec 2024 → Jan 2025: +55.1%
  • Mar → Apr 2025: +79.6%
  • May → Jun 2025: +61.9%
  • Jul → Aug 2025: +381.7%
  • Seasonal shape in the selected data:
  • A pronounced dip in December 2024.
  • Rising costs into spring (Apr peak at 66.70), a pullback in May (47.16), another rise in June (76.35), and a sharp late-summer surge in August (266.93).

Comparison to the global baseline

  • Baseline average (Oct 2024–Aug 2025): 49.24.
  • Baseline high/low: 53.89 in Feb 2025 (high) and 43.19 in Nov 2024 (low).
  • Baseline first-to-last change: 46.67 (Oct 2024) to 45.69 (Aug 2025), −2%.
  • Volatility: low and steady (avg absolute MoM change ≈ 4.7%), with a narrow range (43.19–53.89).
  • Relative positioning of Denmark Retail vs global:
  • Average level: above market (+35%).
  • Range: much wider in Denmark (21.35–266.93) vs global’s tight band, indicating substantially higher variability.
  • Trend: selected data rose sharply into late summer, while the global series remained roughly flat-to-slightly-down over the same period.

Monthly highlights (selected vs baseline context)

  • Dec 2024: selected hit its low (21.35) while the global series rose to 51.53.
  • Feb 2025: global peaked at 53.89; selected remained comparatively moderate at 24.86.
  • Jun–Aug 2025: selected escalated from 76.35 to 266.93, diverging strongly from the global baseline, which eased from 46.96 to 45.69.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Retail 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 Retail 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.