Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Fitness & Training Centers in France

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

Cost Per Purchase for Fitness & Training Centers in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Fitness & Training Centers in France vs. global

This analysis looks at cost-per-purchase trends for industry Fitness & Training Centers and target country France compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Key takeaways

  • The France series is above market throughout the period, averaging 367.50 versus the global baseline’s 50.71 (+7.25x).
  • A pronounced Q4 spike appears in November 2024 (1117.75), followed by a steep reset in December; costs trend down to a March 2025 low (98.86).
  • Volatility in France is high, with an average month-to-month swing of about 49%, versus 6.55% for the baseline.
  • From first to last month, France drops 91.16%, while the global baseline rises 21.79% over the same window.

Selected data (France, Fitness & Training Centers)

  • Period covered: Nov 2024–Mar 2025 (monthly medians).
  • Average: 367.50; median: 212.04.
  • High and low:
  • High: 1117.75 in November 2024.
  • Low: 98.86 in March 2025.
  • Change over time:
  • November to December: -81.03% (1117.75 → 212.04).
  • December to January: -18.93% (212.04 → 171.89).
  • January to February: +37.87% (171.89 → 236.96).
  • February to March: -58.30% (236.96 → 98.86).
  • First-to-last change: -91.16% (Nov 2024 to Mar 2025).
  • Range (high–low): 1018.89.
  • Seasonal note: A sharp Q4 spike in November is followed by a marked cooldown in December and January, a brief rebound in February, and a new low in March.

Baseline comparison (global)

  • Window-aligned baseline (Nov 2024–Mar 2025) average: 50.71; median: 52.31.
  • High and low:
  • High: 53.89 in February 2025.
  • Low: 43.19 in November 2024.
  • Month-to-month movement:
  • Nov → Dec: +19.30%.
  • Dec → Jan: +1.52%.
  • Jan → Feb: +3.01%.
  • Feb → Mar: -2.37%.
  • First-to-last change: +21.79% (Nov 2024 to Mar 2025).
  • Volatility: average absolute month-to-month change ≈ 6.55%, indicating a stable global trend relative to France.

How France compares to the global baseline

  • Level: France remains above market in every month, ranging from ~25.9x above baseline in November to ~1.9x in March; overall average is +7.25x.
  • Peaks and troughs: France’s peak (1117.75) far exceeds the global high (53.89), while even its trough (98.86) sits above the global low (43.19).
  • Pattern: France exhibits a Q4 spike and subsequent reversion, whereas the baseline shows a gradual rise into February with a modest pullback in March—more in line with steady, global seasonality.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Fitness & Training Centers 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 Fitness & Training Centers 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.