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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

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction

Energy and Mining cost-per-purchase showed a dramatic, story-driven arc compared with the broader market this period. Where the global median cost-per-purchase held steady in the high $40s, the Energy and Mining series started extremely high in June 2025 and collapsed into single-digit levels by December 2025 — a narrative of rapid decline and high volatility. 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

The headline: Energy and Mining averaged about $123.48 per purchase across the six reported months, versus a baseline median near $48.18 — roughly 2.6x the global benchmark on average. The series opened at $412.98 in June 2025 (its peak), eased to $131.71 by September, ticked to $146.38 in October, then plunged to $35.74 in November and to $6.51 in December before settling at $7.56 in January 2026. From start to finish the metric fell by roughly 98% (June $413 → January $7.56). High/low range is enormous: $413 high vs $6.51 low, with the mean masked by that early spike.

Month-to-month movements were extreme: the recorded consecutive changes included a ~68% drop (June → Sep), an 11% bounce (Sep → Oct), a ~76% fall (Oct → Nov), an ~82% fall (Nov → Dec), and a ~16% uptick (Dec → Jan). Absolute monthly percent swings averaged about 50.5%, signaling substantial volatility.

Seasonal and monthly dynamics

The series shows a front-loaded spike followed by a sustained descent across late 2025. The peak in June 2025 stands out as an outlier relative to later months; the steep declines through Q4 produced single-digit costs by December and early January. By contrast, the global baseline displayed a much calmer rhythm over the same interval — small month-to-month moves and a median that hovered in the high $40s. The Energy and Mining timeline reads as a high-amplitude event unfolding from mid-year into Q4, with the sharpest contractions occurring in November–December 2025.

Country vs. Global

Compared to the global benchmark, Energy and Mining was both higher and far more volatile. In June 2025 the sector was over 8x the global median (≈843% higher than the baseline $49), while in October it was roughly 2.8x the baseline. By November the sector crossed below the median (about 23% below baseline), and in December–January it ran roughly 85–87% below the global median. Over the June→January window the global baseline moved almost flat (≈+0.7%), while Energy and Mining collapsed (~-98%), making the sector materially more volatile and variable versus market-level CPM/CPC and CPC trends typically seen in aggregate Facebook Ads benchmarks.

Understanding cost-per-purchase (COST_PER_PURCHASE) behavior for Energy and Mining across All countries available provides a clear picture of extreme mid-year spikes and rapid Q4 deflation within industry ad performance, useful for benchmarking against wider Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, and country-specific ad costs.

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.