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Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining in United Kingdom

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Cost Per Purchase for Energy and Mining in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Energy and Mining in Great Britain vs global trend

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

  • Main takeaways:
  • Data availability: the selected dataset for Energy and Mining in Great Britain contains no monthly observations for the period provided, so no country-industry specific averages or relative positioning can be computed.
  • Directional proxy: the global baseline shows a clear seasonal lift around December–February, followed by a steady moderation and a sharp drop in September.
  • Volatility: average month-to-month movement in the global baseline was about 3.25 points, or 7.0% on an absolute basis.
  • Overall level: the global median cost-per-purchase averaged 47.82 across the last 12 months, peaking at 53.89 in February 2025 and troughing at 32.29 in September 2025.

Scope and data notes

  • Metric analyzed: cost-per-purchase (median by month).
  • Selection: industry Energy and Mining, country Great Britain (no selected_data points available for the period).
  • Baseline: global monthly medians from October 2024 to September 2025.

Selected dataset overview (Energy and Mining, Great Britain)

  • No observations were available in the selected dataset for this time window.
  • As a result, averages, highs/lows, volatility, and percentage change for the selected series cannot be computed.
  • No direct “above market / below market” comparison to the global baseline can be established for this selection.

Global baseline trend highlights (directional benchmark)

  • Overall level:
  • Average across the period: 47.82.
  • High: 53.89 (February 2025).
  • Low: 32.29 (September 2025).
  • Range: 21.60 points between high and low.
  • Trend over time:
  • First month (October 2024): 46.67.
  • Last month (September 2025): 32.29.
  • Change from first to last month: -30.8%.
  • Volatility:
  • Average absolute month-to-month change: 3.25 points (about 7.0%).
  • Largest monthly lift: +19.3% from November to December 2024.
  • Largest monthly decline: -29.3% from August to September 2025.
  • Seasonal patterns:
  • Costs typically increase in Q4 around holiday periods, with a clear surge in December (51.53), and remain elevated into Q1, peaking in February (53.89).
  • Spring stabilizes slightly (April–June average around the high 40s to low 50s).
  • Q3 softens, with a pronounced drop in September.

Comparison to the global baseline

  • Because the selected series has no data points for Energy and Mining in Great Britain during this period, no direct comparison of averages, highs/lows, or volatility can be made.
  • The global baseline serves as the reference for directional context: elevated costs around December–February, moderation through spring, and a notable late-summer/early-autumn dip.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Energy and Mining and Great Britain 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 United Kingdom, advertisers experience moderate to high costs with strong performance in urban areas. 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.

United Kingdom Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 22nd January (Scotland)
Apr 18Good Friday
Apr 21Easter Monday
May 5Early May Bank Holiday
May 26Spring Bank Holiday
Aug 25Summer Bank Holiday
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Cyber Monday surge), Late December (Christmas & Boxing Day promotions), Early May holiday weekend promotions

Potential Advertising Impact

CPM and CPC might increase around early May and late August bank holidays as people engage in leisure travel or retail browsing. During Black Friday/Cyber Monday, retail CPMs could spike sharply in fashion, electronics, and online shopping. Late December typically sees peak CPMs, with e‑commerce budgets needing early ramp-up.

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.

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