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January 2025 - January 2026
Detailed observation of presented data
Energy and Mining stood out for extreme swings in Facebook Ads cost-per-purchase across all countries in 2025. The year opened with outsized acquisition costs, reset abruptly by March, rebounded mid-year, then softened steadily into Q4—ultimately closing the year far below the market. Compared to the global all‑industry benchmark, this segment moved from a dramatic premium to a discount in just a few months, with sharper volatility at every step.
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 across all countries compared to the global benchmark.
Across the nine reported months, Energy and Mining’s median cost per purchase averaged about $156, with an exceptionally wide range—from a January high of $504 to a December low of $5.71. The market opened at $504 in January, eased to $341 in February, collapsed to $49.67 in March, jumped back to $245 in June, then drifted lower through the fall: $94 in August, $73 in September, $41 in October, a brief uptick to $46 in November, and a year-end trough of $5.71 in December. From January to December, that’s a 99% decline.
Volatility was the defining feature: the average month-to-month swing was roughly $112. For context, the global all‑industry benchmark moved by about $1.77 per month on average. In other words, Energy and Mining was more than 60 times more volatile than the broader market. The year effectively split in two: H1 (Jan–Mar, Jun) averaged about $285, while H2 (Aug–Dec) averaged $52—nearly a fivefold difference between halves.
The pattern showed an early‑year spike, a rapid correction, a mid‑year rebound, and a long deceleration into Q4. January and February were the outliers on the high side, suggesting heavy acquisition costs at the start of the year. March marked a reset closer to market levels, but June showed a secondary surge. From late summer onward, costs cooled in a steady glide path—October and November hovered in the low‑to‑mid $40s before a decisive December trough. In this dataset, Energy and Mining did not experience a Q4 inflation in purchase costs; rather, it settled lower as the year closed.
The global all‑industry rhythm was steadier: it averaged about $51 across the year, peaking near $55 in February and gradually easing to $45 by December—an orderly 15% decline from start to finish.
Relative to the global benchmark, Energy and Mining started far above market and then converged—and ultimately dipped below. January’s $504 was roughly 9.5x the global level (+846%). February still carried a large premium (+522%), while March slipped 6% below the benchmark. June ran hot again at +382%, then the gap narrowed: +78% in August and +38% in September. By October, Energy and Mining was 22% below global, nearly even in November (−2%), and 87% below in December. On average across reported months, the segment sat about 3x the global cost, but the back half told a different story—H2 in Energy and Mining averaged $52 versus ~$50 globally, effectively at parity.
The global trend rose and fell gently, while Energy and Mining’s path was choppier and steeper—falling ~99% from January to December, with large intermediate reversals.
Understanding Facebook Ads benchmarks for cost per purchase in the Energy and Mining industry across all countries reveals a market defined by early‑year spikes, mid‑year rebounds, and late‑year softness—ultimately converging with, and then undercutting, global all‑industry levels. These findings complement broader CPC trends, CPM analysis, and CTR performance, grounding industry ad performance in concrete, country‑agnostic ad costs.
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.
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.
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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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.
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.
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.
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.
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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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