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Facebook Ads Cost Per Purchase Benchmarks for Agriculture in Germany

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

Cost Per Purchase for Agriculture in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Agriculture and target country Germany compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The selected segment shows a single observed month (Jul 2025) with a median cost-per-purchase of 117.94, which is well above market: +155% versus the global baseline in the same month and roughly 2.5x the 12‑month global average.
  • The global baseline indicates mild holiday/Q4 lift into December and higher levels through Q1, then a steady easing into summer with a pronounced dip in September. Average month‑to‑month movement is about 7%, with the largest swing occurring from August to September.

Overview of the selected data

  • Coverage: One data point (Jul 2025).
  • Median cost-per-purchase (Jul 2025): 117.94.
  • Average across the observed window: 117.94.
  • High/low: 117.94 (Jul 2025) / 117.94 (Jul 2025).
  • Month-to-month change (first to last within the available window): 0% due to a single observation.
  • Volatility: Not measurable with one month of data.

Baseline context (global)

  • Timeframe: Oct 2024–Sep 2025.
  • Average median cost-per-purchase: 47.82.
  • High: 53.89 in Feb 2025.
  • Low: 32.29 in Sep 2025.
  • First-to-last change: down 30.8% from Oct 2024 (46.67) to Sep 2025 (32.29).
  • Volatility: Average absolute month-to-month change of ~7.0%, with the largest monthly drop in Sep 2025 (-29.35% vs Aug). Notable uplift from Nov to Dec (+19.25%), consistent with end‑of‑year demand.

Comparative analysis

  • Relative level (Jul 2025): The selected segment’s 117.94 sits +155% above the global baseline for July (46.21), clearly above market.
  • Versus global average: 117.94 is about 2.46x the 12-month global average (47.82), indicating structurally higher cost-per-purchase for Agriculture in Germany in the observed month.
  • Range comparison: The single selected reading (117.94) exceeds even the global high during the period (53.89 in Feb), underscoring the above-market positioning.
  • Trend alignment: With only one month, a local trend can’t be established; however, the timing (mid‑summer) sits within a global phase where costs generally ease versus Q1, making the above-market level in the selected segment especially notable.

Seasonality and volatility signals

  • Baseline seasonality: Mild Q4 lift culminating in a December spike, elevated levels through Q1, gradual softening into summer, and a sharp September dip.
  • Selected segment: Insufficient data to confirm seasonal patterns or volatility locally; July’s level is significantly above global norms for the same period.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Agriculture and Germany 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 Germany, 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.

Germany Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday
Apr 21Easter Monday
May 1Labour Day
May 29Ascension Day
Jun 9Whit Monday
Oct 3German Unity Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Cyber Monday), Christmas shopping (late December), Back-to-school (August/September), Spring promotions (Easter period)

Potential Advertising Impact

Media consumption might rise during Easter, Ascension Day, and Pentecost, especially for travel campaigns. Late November and December bring pronounced spikes in retail advertising. German Unity Day often triggers localized campaigns. Regional holidays may create unique local competition. Sunday/holiday retail restrictions may contract ad inventory.

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.