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Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining

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Cost Per Purchase for Energy and Mining

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Scope and context: This analysis looks at cost-per-purchase trends for industry Energy and Mining and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Level vs market: Across overlapping months, Energy and Mining runs about 4.9x above market (average 243.35 vs global 49.59).
  • Volatility: Extremely volatile month-to-month (+/-141% on average) vs a steady global baseline (+/-7%).
  • Highs/lows: Peak at 503.84 in January 2025; trough at 49.67 in March 2025. Only March falls slightly below the global median.
  • Trend: From October 2024 to June 2025, cost-per-purchase rises 33.5% in Energy and Mining, while the global baseline declines 30.8% across its full period (Oct 2024–Sep 2025).
  • Seasonality: Q4 shows mixed movement, a sharp January surge, a March dip, then a rebound into June; globally, costs are relatively stable with a notable dip in September.

Overview of Energy and Mining (all countries)

  • Average: 243.35 across seven reported months.
  • High/low: High of 503.84 (January 2025) and low of 49.67 (March 2025), a wide range that underscores category volatility.
  • First-to-last change: +33.5% from October 2024 (184.52) to June 2025 (246.22).
  • Volatility: Average absolute month-to-month change ≈ 141%, driven by:
  • October → November: +29.4%
  • November → December: -41.6%
  • December → January: +261.3% (sharp spike)
  • January → February: -32.3%
  • February → March: -85.5% (deep dip)
  • March → June: +395.6% (strong rebound)
  • Seasonal pattern: Q1 2025 averages ~59% higher than Q4 2024, largely due to January’s spike, followed by a sharp March correction and a recovery by June.

Comparison with the global baseline

  • Average level:
  • Overlapping months (Oct 2024, Nov 2024, Dec 2024, Jan–Mar 2025, Jun 2025): Energy and Mining 243.35 vs global 49.59 (≈4.9x above market).
  • Global full-period average (Oct 2024–Sep 2025): 47.82.
  • High/low (global): High of 53.89 (February 2025); low of 32.29 (September 2025).
  • Volatility: Global month-to-month absolute change averages ≈ 7.0% (stable).
  • Relative positioning by month:
  • October 2024: ~4.0x above market.
  • November 2024: ~5.5x above.
  • December 2024: ~2.7x above.
  • January 2025: ~9.6x above (peak spread).
  • February 2025: ~6.3x above.
  • March 2025: ~5.6% below market (only below-market month).
  • June 2025: ~5.2x above.
  • Baseline trend: From October 2024 to September 2025, the global series declines ~30.8%, with a pronounced drop in September, while staying relatively steady before that.

Seasonal notes and volatility

  • Energy and Mining shows mixed Q4, a sharp January spike, a March low, and a mid-year rebound—overall far more erratic than the global benchmark.
  • The global series is comparatively stable through most months, with modest fluctuations and a late Q3 dip.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Energy and Mining and All countries available 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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.