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February 2025 - February 2026
Detailed observation of presented data
The headline for Energy and Mining is a tale of extremes: cost per purchase started the year dramatically above market, then cascaded toward year-end levels well below the global benchmark. January and February were exceptionally expensive, March normalized, June rebounded sharply, and by December costs sat at their lowest point of the year. 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 months observed in 2025, Energy and Mining’s median cost per purchase averaged 192, versus a 52 global all-industry average over the same months—about 3.7x higher overall. The year opened at a towering 830 in January, fell 59% to 341 in February, then plunged another 86% to 49.7 in March. After a sharp midyear rebound to 245 in June (+393% vs March), costs eased through late summer and fall—94.3 in August, 73.2 in September, and 41.3 in October—before touching a year low of 5.71 in December.
High-to-low range was striking: from 830 in January to 5.71 in December, a 145x spread. Month-to-month volatility averaged roughly 95% (absolute), far more turbulent than the global benchmark’s ~3% average monthly change. Excluding the January–February surge, Energy and Mining’s March–December average was 79—still around 53% above global norms, but far closer to market for most of the year.
Q1 defined the narrative: extraordinary acquisition costs in January and February created a steep front-loaded profile, followed by a normalization in March. A midyear bump in June marked the secondary peak (245), then the metric stepped down through late Q3 and Q4. The fourth quarter was the softest stretch: October (41.3), November (46.1), and December (5.71) formed a clear glide path into year-end. While broader Facebook Ads benchmarks often see pressure around Q4, Energy and Mining’s purchase costs moved the other way—easing meaningfully into December.
This CPP view sits alongside CPM analysis, CPC trends, and CTR performance as complementary lenses on efficiency; here, the purchase cost curve was the dominant storyline, with dramatic early-year inflation giving way to late-year relief.
Relative to the global benchmark, the gap was widest at the start and narrowed progressively:
In aggregate for the observed months, Energy and Mining’s cost per purchase was about 271% higher than the market average, but that premium was concentrated in January–February and a June rebound. From October onward, the industry tracked below global pricing.
Energy and Mining Facebook Ads benchmarks for cost per purchase show a year defined by extreme early spikes, a midyear lift, and a pronounced late-year comedown—well above market early, below market by Q4. Understanding cost per purchase trends for Energy and Mining across all countries helps marketers benchmark acquisition efficiency against global patterns and align interpretations with broader Facebook Ads benchmarks alongside CPC trends, CPM analysis, and CTR performance.
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.
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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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