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

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 United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Energy and Mining in the United States shows cost per purchase levels far above market, averaging about 7x the global baseline.
  • The selected series trends sharply upward from October 2024 to June 2025 (+183.6%), with large step changes and a new high in June 2025.
  • The global baseline remains relatively steady through most months, lifts in December–February, and softens into late summer with a notable dip by September.

Introduction

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

Selected data overview (Energy and Mining, United States)

  • Coverage: Oct 2024, Nov 2024, Feb 2025, Jun 2025.
  • Average: 333.93.
  • High/low:
  • High: 523.29 (June 2025)
  • Low: 184.52 (October 2024)
  • Range: 338.77
  • First-to-last change: +183.6% (Oct 2024 to Jun 2025).
  • Month-to-month movement across observed intervals:
  • Oct → Nov: +55.5%
  • Nov → Feb: +18.8%
  • Feb → Jun: +53.5%
  • Average observed step change: +42.6%; median step change: +53.5%.
  • Notable spike: June 2025 reaches the series high (523.29). No recorded months show a dip versus the prior observed point.

Global baseline overview

  • Coverage: Oct 2024 to Sep 2025 (monthly).
  • Average: 47.82; range: 32.29–53.89.
  • High: 53.89 (February 2025)
  • Low: 32.29 (September 2025)
  • First-to-last change: -30.8% (Oct 2024 to Sep 2025).
  • Volatility:
  • Movements are generally modest (often within ±8% month over month).
  • Notable shifts: +19.3% in December 2024; -29.3% from August to September 2025.

Comparative benchmark: United States vs. global

  • Average vs. average:
  • Selected: 333.93 vs. global baseline: 47.82 → about 7.0x above market.
  • Baseline for the same months (Oct 2024, Nov 2024, Feb 2025, Jun 2025): 47.68 → selected remains about 7.0x higher.
  • High/low comparison:
  • Selected high (523.29, Jun 2025) is 9.7x the global high (53.89, Feb 2025).
  • Selected low (184.52, Oct 2024) is 5.7x the global low (32.29, Sep 2025).
  • Month-by-month ratios (selected vs. global, overlapping months):
  • Oct 2024: 3.95x
  • Nov 2024: 6.64x
  • Feb 2025: 6.33x
  • Jun 2025: 11.15x
  • Trajectory comparison:
  • Selected climbs sharply (+183.6% from first to last observed month).
  • Baseline is essentially flat over the same window (Oct 2024 to Jun 2025: +0.6%), then weakens into late summer.

Seasonality and timing cues

  • Baseline indicates seasonal uplift in December–February (holiday and early Q1 periods), followed by easing through mid to late summer.
  • The United States Energy and Mining series aligns with a late-year rise (Oct → Nov) and shows outsized escalation by mid-year (June), keeping it consistently above market across all overlapping months.

Understanding cost per purchase benchmarks on Facebook Ads in industry Energy and Mining and United States 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 States, advertisers often face higher costs due to high competition and purchasing power. 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 States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.