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Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining

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

Cost Per Purchase for Energy and Mining

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction

The main story: Energy and Mining cost-per-purchase in our multi-country sample started the period extremely elevated, spiked to the year’s peak in October, then collapsed into a very low trough by December and held low into January. Compared to the global benchmark, the Energy and Mining series was meaningfully higher on average but far more volatile, with dramatic month-to-month swings that punctuated the seasonal rhythm.

This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Energy and Mining in all countries available compared to the global benchmark.

The story in the data

Across the five-month window from September 2025 to January 2026, median cost-per-purchase for Energy and Mining averaged about $65.6. The series opened at $131.7 in September, climbed to a peak of $146.4 in October, then plunged to $35.7 in November and collapsed further to $6.51 in December before a modest rebound to $7.56 in January. The high-to-low swing amounted to a roughly 98% decline from October’s peak to January’s close.

Over the same months the global baseline median sat near $50.15 per purchase. That makes the Energy and Mining five‑month mean about 31% above the global benchmark, but that average masks extreme month-level divergence: Energy and Mining ran roughly 2.5–2.8x the baseline in September–October, then shifted to being 23% below the global level in November and roughly 85% below in December–January.

Volatility was striking. Monthly percent moves for Energy and Mining were +11% (Sep→Oct), −76% (Oct→Nov), −82% (Nov→Dec), and +16% (Dec→Jan). The average absolute monthly change was about 46% — nearly nine times the baseline’s average monthly absolute change of ~5%.

Seasonal and monthly dynamics

The series shows a compressed seasonality: a late‑Q3/early‑Q4 spike followed by a sharp drop into late Q4 and anemic levels in early Q1. October is the clear standout with the largest lift; November through January is the trough period with the steepest declines and the lowest absolute costs. The global baseline displays a much flatter rhythm across the same window, with only modest dips and recoveries rather than the dramatic swings seen in Energy and Mining.

These month-to-month dynamics create a rhythm where short bursts of elevated cost-per-purchase give way to rapid deflation — a pattern that reads less like a smooth seasonal cycle and more like episodic volatility tied to discrete moments in the period.

Country vs. Global

Relative to the global benchmark, Energy and Mining was both above market and below market at different times: materially above in September and October (about +150–180% vs. baseline), then substantially below in December and January (about −85%). In volatility terms, Energy and Mining was far more volatile than the global trend — roughly nine times the baseline’s month-to-month movement — indicating sharper swings in country-specific ad costs within this industry.

Across these months the headline position shifts from “well above average” at the start of the period to “well below average” at the end, creating a large and rapidly changing gap with the global benchmark.

Understanding cost-per-purchase benchmarks for Energy and Mining across all countries available helps marketers and analysts interpret industry ad performance and compare country-specific ad costs to broader CPM analysis and Facebook Ads benchmarks in the market.

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.