Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining in France

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

Cost Per Purchase for Energy and Mining in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Energy and Mining 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.
  • No qualifying observations are available for the selected segment (Energy and Mining in France) in the period provided, so comparisons to the global baseline cannot be computed. The global median serves as the directional benchmark.
  • Globally, the median monthly cost per purchase averaged 47.73 over the last 13 months, peaking at 53.89 (Feb 2025) and bottoming at 32.29 (Sep 2025).
  • From the first month (Sep 2024: 46.60) to the last (Sep 2025: 32.29), the global median fell by 30.7%.
  • Volatility was moderate with an average month‑to‑month absolute move of about 2.99, punctuated by a sharp +19.3% spike in December 2024 and a steep −29.3% drop in September 2025.
  • Seasonal patterns were evident: costs rose into December and remained elevated through January–February, then eased through summer before a pronounced late‑Q3 reset.

Scope and methodology

  • Metric: cost per purchase (median, monthly).
  • Selected segment: Energy and Mining in France (no data points available in the input period).
  • Baseline: global median time series used for benchmarking Facebook Ads costs.

Global benchmark overview

  • Average (13 months): 47.73
  • High: 53.89 in Feb 2025
  • Low: 32.29 in Sep 2025
  • Range: 21.60 between high and low
  • First-to-last change: −30.7% (46.60 in Sep 2024 to 32.29 in Sep 2025)

Notable movements:

  • Nov → Dec 2024: +8.34 (+19.3%), a typical Q4 holiday surge.
  • Jun → Aug 2025: gradual easing from 46.96 to 45.69 (−2.7%), signaling mid‑year softness.
  • Aug → Sep 2025: −13.40 (−29.3%), the steepest monthly correction in the period.

Seasonality and volatility

  • Q4 uplift: Costs climbed into December (51.53) and stayed elevated through January (52.31) and February (53.89).
  • Spring normalization: March–May eased from 52.61 to 50.97.
  • Summer plateau: June–August maintained mid‑40s levels (46.96 → 45.69).
  • Volatility: Average absolute month‑to‑month change was ~2.99, with the largest swings in December 2024 and September 2025.

Comparison to the selected segment

  • Because the selected time series for Energy and Mining in France contains no data points for the months provided, we cannot quantify relative position (above market, below average, or in line). The global series offers a directional benchmark for Facebook Ads cost per purchase over the same period, showing a Q4 rise, early‑year elevation, mid‑year easing, and a late‑Q3 dip.

Understanding cost per purchase benchmarks on Facebook Ads in industry Energy and Mining 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 Energy and Mining 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.