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Facebook Ads Cost Per Purchase Benchmarks for Agriculture in Denmark

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

Cost Per Purchase for Agriculture in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Agriculture in Denmark shows a cost per purchase of 117.94 in July 2025—well above market, sitting about 155% higher than the global July baseline and roughly 147% above the 12‑month global average.
  • The global baseline trends higher in winter (Dec–Feb) and softens through summer, with a sharp dip in September. This aligns with typical seasonality where costs often rise around holiday periods.
  • Baseline volatility is modest on average (~6.8% month‑to‑month), with notable swings in December (+19% vs. November) and September (−29% vs. August).
  • With only one month available for the selected series, volatility and seasonal read‑through for Agriculture in Denmark cannot be inferred.

Overview and scope

This analysis looks at cost per purchase trends for industry Agriculture 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. Metric: cost per purchase on Facebook Ads.

Selected dataset (Agriculture, Denmark)

  • Coverage: July 2025 only
  • Average: 117.94
  • High/Low: 117.94 / 117.94
  • Volatility: not assessable (single observation)
  • Notable positioning: The July value is substantially above market levels seen in the global baseline.

Global baseline (all industries, all countries)

  • Timeframe: Oct 2024–Sep 2025 (12 months)
  • Average: 47.82
  • High/Low: 53.89 (Feb 2025) / 32.29 (Sep 2025)
  • Range: 21.60 (about 45% of the average)
  • First-to-last change: down 30.8% from Oct 2024 (46.67) to Sep 2025 (32.29)
  • Month-to-month volatility: average absolute change ≈ 3.25, roughly 6.8% of the average
  • Largest positive move: Nov → Dec +8.34 (+19.3%)
  • Largest negative move: Aug → Sep −13.40 (−29.3%)
  • Seasonality: Elevated costs in winter (Dec–Feb ~52–54), easing through spring/summer (~46–47), and a pronounced low in September.

Head-to-head comparison

  • July 2025: Agriculture in Denmark at 117.94 vs. global baseline 46.21
  • Positioning: about 155% above the global baseline (above market)
  • Relative to global average (47.82): +147% (above market)
  • Relative to the global 12‑month peak (53.89 in February): +119% (above market)

Interpretation for marketers

  • The single observed month for Agriculture in Denmark sits materially above global norms—higher than both the global average and the highest monthly baseline reading over the past year.
  • The baseline shows clear seasonal pressure around the holiday period (December) and the lowest costs in September, with generally modest month‑to‑month changes outside of these points.
  • Given the one‑month view for Denmark, local seasonal dynamics cannot be determined from this dataset, but the July level is clearly elevated relative to worldwide conditions.

Understanding cost per purchase benchmarks on Facebook Ads in industry Agriculture 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 Agriculture 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.