Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Energy and Mining

Compare lead generation cost benchmarks by industry, region, and campaign type.

Cost Per Lead for Energy and Mining

October 2025 - September 2026

Insights

Benchmark observations based on the selected data

Introduction

Energy and Mining’s cost-per-lead profile ran hotter and far choppier than the overall market across the year. Early in the period CPL started well below the global median, then climbed through a series of spikes to finish materially above baseline — a story of decline, lift, and rebound. 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

Energy and Mining CPL began July 2025 at roughly $22.81 and closed June 2026 at about $49.67 — a net rise of ~118% from start to finish. Monthly medians averaged approximately $47.28 across the year, with a low of $22.81 (July 2025) and a peak of $81.40 (March 2026). The series showed distinct spikes in September 2025 ($61.52), March 2026 ($81.40) and an elevated plateau in April–May 2026 ($72.24 and $71.24 respectively). By contrast, the global benchmark averaged about $46.04 over the same months, with a far gentler range and lower dispersion.

Volatility was striking: the Energy and Mining CPL had a standard deviation near $19 (about 40% of its mean), reflecting large month-to-month swings. The baseline series, meanwhile, showed a standard deviation around $4 (≈9% CV), indicating a much steadier market backdrop.

Seasonal and monthly dynamics

Seasonally, the data shows a softer first month (July) and late‑year dips around December, then a strong rebound into early spring. After a modest August, September marked the first significant lift (+~28% vs baseline). The most intense period was March–May 2026, where CPLs jumped and held at their highest band before easing into June. December and several winter months registered the year’s troughs, with CPLs clustered in the mid‑$20s to low‑$30s prior to the spring surge.

This rhythm — lower mid‑year entry, winter softness, spring spike and late‑spring plateau — created a high-variance annual shape rather than a smooth seasonal curve.

Country vs. Global

Compared to the global benchmark, Energy and Mining CPLs oscillated between well below and well above market levels. Early in the window (July 2025) CPLs were roughly 47% below the global median; by March–April 2026 they were 61–74% above. The narrowest gap occurred in October 2025 (about 15% below baseline). Overall, Energy and Mining ran only slightly above the annual global average (+~2.7%), but that aggregate masks months where CPLs diverged dramatically — as much as −47% to +74% relative to the baseline.

Across the timeframe the category was consistently more volatile and occasionally far costlier than the baseline — a pattern that shows up in comparisons of monthly spikes and a higher dollar standard deviation versus the global trend.

Closing

Understanding Cost Per Lead benchmarks for Energy and Mining in All countries available provides a data-first view of industry ad performance and how country‑level and seasonal swings compare to global patterns. This framing supports clearer interpretation of Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance and broader country-specific ad costs within industry ad performance conversations.

About this data

Facebook advertising cost benchmarks

Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Energy and Mining industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.

Why we use median instead of average

A small share of campaigns has extremely high CPL values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.

Factors that affect 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.)

The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.

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The data behind the benchmarks

The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.

The dataset updates as new ad data is available.

What is considered a good cost per lead on Facebook in 2026?

A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.

Why is my CPL higher than industry averages?

Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.

How can I generate leads at a lower cost without hurting lead quality?

Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.

Should I optimize for leads or conversions if my goal is pipeline growth?

For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.