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Facebook Ads Cost Per Purchase Benchmarks for Consulting in France

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

Cost Per Purchase for Consulting in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Consulting 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.
  • Overall, France’s Consulting segment shows extreme dispersion: an average of 363.93, but a median month of 51.68—very close to the global baseline average of 49.88. This means typical months are in line with market, yet several outlier spikes lift the average.
  • High and low: peak at 1,117.95 in March 2025 and a low of 19.32 in February 2025 (a 58x swing). From the first observed month (October 2024) to the last (July 2025), costs fell 96.6%.
  • Compared with baseline, France’s Consulting average is 7.3x higher, driven by October–December and March spikes. Across the period, 5 of 9 months sit above the global trend; non-spike months are mostly below or in line.
  • Seasonality: elevated costs in Q4 (October–December) align with broader seasonal patterns where costs typically rise around holiday periods. A unique local spike occurs in March 2025.

Scope and dataset

This report benchmarks Facebook Ads cost per purchase for Consulting in France against a global baseline. It covers monthly medians from October 2024 to July 2025 (June missing), providing a clear view of seasonal behaviors, highs/lows, and volatility relative to the market.

Selected data overview (France, Consulting)

  • Average: 363.93; Median: 51.68
  • High: 1,117.95 (March 2025); Low: 19.32 (February 2025); Range ratio: ~58x
  • First to last month change: from 948.93 (October 2024) to 32.73 (July 2025), down 96.6%
  • Volatility:
  • Median month-to-month absolute change: ~71% (very high)
  • Notable moves:
  • Q4 surge: 948.93 (Oct), 517.07 (Nov), 542.97 (Dec)
  • Sharp drop in January–February: 20.12 → 19.32
  • Exceptional spike in March: 1,117.95
  • Post-spike normalization: April–May 24.57 → 51.68; July 32.73
  • Data note: June 2025 is not available.

Comparison to global baseline

  • Baseline average over the same months: 49.88 (High: 53.89 in Feb 2025; Low: 43.19 in Nov 2024)
  • Baseline first-to-last change (Oct 2024 to Jul 2025): -1.0% (46.67 → 46.21)
  • Baseline volatility:
  • Median month-to-month absolute change: ~2.7% (stable)
  • Relative positioning:
  • Average level: above market (7.3x), skewed by outliers
  • Typical month (median 51.68) is in line with overall trends
  • Month-by-month vs baseline: above in 5/9 months (notably Oct–Dec and Mar); below or near baseline in Jan, Feb, Apr, and Jul

Seasonal patterns and monthly highlights

  • Q4 increase: October–December in France’s Consulting segment far exceed global norms, consistent with end-of-year pressure.
  • Early-year dip: January–February drop well below the baseline.
  • March anomaly: a singular spike to 1,117.95 marks the period’s maximum and primary source of above-market averages.
  • Stabilization thereafter: April–July settles closer to market levels, with May (51.68) nearly matching the baseline (50.97).

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

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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.

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.