Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Nonprofit in France

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

Cost Per Purchase for Nonprofit in France

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, the Nonprofit industry in France shows cost-per-purchase levels that are consistently below the global baseline across all observed months.
  • Average cost-per-purchase for France Nonprofit is about 28.22, roughly 43% below the comparable global average of 49.86.
  • Volatility is high in France: average month-to-month movement is 17.31 versus just 2.36 globally (about 7x higher).
  • Seasonal patterns are visible: a lift in December, a peak in April–May, and a sharp dip in June, with a partial rebound by August.

Scope

This analysis looks at cost-per-purchase trends for industry Nonprofit and target country France compared to the global trend.

France Nonprofit: trend highlights

  • Central tendency:
  • Average: 28.22; median: 26.92 (Nov 2024–Aug 2025, 9 months reported).
  • Highs and lows:
  • High: 49.99 in April 2025; low: 4.13 in June 2025.
  • Range: 45.86.
  • Momentum:
  • From first to last observed month, costs rose from 16.13 (Nov 2024) to 26.92 (Aug 2025), a +66.9% change.
  • Average month-to-month absolute change: 17.31.
  • Notable spikes and dips:
  • December vs November: +95.6% (16.13 → 31.55).
  • February dip vs January: −47.8% (26.03 → 13.58).
  • March rebound vs February: +172.9% (13.58 → 37.06).
  • May to June collapse: −91.6% (48.62 → 4.13), followed by June to August rebound of +551.7% (4.13 → 26.92 over two months).
  • Seasonal read:
  • A typical holiday lift appears in December.
  • A spring peak spans April–May, then an exceptional June trough precedes a late-summer normalization.

Global baseline comparison

  • Comparable-period baseline (Nov 2024–Aug 2025):
  • Average: 49.86; median: 51.53.
  • High: 53.89 in February 2025; low: 43.19 in November 2024.
  • First-to-last change: +5.8% (43.19 → 45.69).
  • Average month-to-month absolute change: 2.36.
  • Relative positioning:
  • France Nonprofit sits about 43% below the global average (28.22 vs 49.86) and about 48% below the global median (26.92 vs 51.53).
  • In every observed month, France Nonprofit remained below the global benchmark.
  • Seasonality context:
  • The global trend is elevated in Q4–Q1 (around 51–54), easing into early summer (~47) and dipping further by September overall (32.29 globally). France mirrors the December lift but diverges with a pronounced June low.

What the trends suggest for marketers

  • France Nonprofit cost-per-purchase is below market yet markedly more volatile month to month.
  • The series shows clear seasonal influences: a holiday spike, spring strength, and a mid-year reset that is more acute than global norms.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Nonprofit and France 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 Nonprofit industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting France, 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

• Instant performance insights – See which ads, audiences, and creatives drive results.

• Data-driven creative decisions – Spot patterns to improve ROAS.

• Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.

France Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday (Alsace & Moselle)
Apr 21Easter Monday
May 1Labour Day
May 8Victory in Europe Day
May 29Ascension Day
Jun 9Whit Monday
Jul 14Bastille Day
Aug 15Assumption Day
Nov 1All Saints' Day
Nov 11Armistice Day
Dec 25Christmas Day
Dec 26Saint Stephen's Day (Alsace & Moselle)

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas & post‑Christmas sales), May–June (spring sales)

Potential Advertising Impact

CPM and CPC might increase during spring holidays when leisure and travel campaigns see higher engagement. Extended 'ponts' (bridge days) in May could create long weekends with lower weekday ad inventory. Late November and December feature steep increases in ad competition. Christmas season may drive peak ad volumes.

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.

Explore Facebook Ads Metrics

Discover detailed cost benchmarks for different Facebook advertising metrics:

CPC (Cost Per Click)

Average cost per click benchmarks across industries

CPM (Cost Per Mille)

Cost per thousand impressions across different markets

CTR (Click Through Rate)

Benchmark click-through rates for Facebook ads

Cost Per Lead

Cost per lead across different markets

Cost Per Purchase

Average cost per purchase benchmarks across industries

Cost Per App Install

See how much it costs to get users to install an app