See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Energy and Mining advertisers spent most of the period paying well above the market for a purchase, then sharply converged toward the benchmark by late 2025. Cost Per Purchase (CPP) surged to a dramatic peak in January, softened through spring, briefly rebounded in June, and then stepped down steadily across Q3 and into Q4—ultimately dipping below the global level in the final months. Volatility was the defining feature: large swings separated short bursts of efficiency from prolonged stretches of elevated acquisition costs.
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.
Month-to-month absolute moves averaged $148, indicating far sharper swings than the global benchmark’s average step of about $3.45. The Energy and Mining range ($504 high to $26 low) underscores this volatility story.
The series shows a pronounced Q1 surge—common when campaigns scale after year-end resets—followed by a swift correction in March. June marked a brief rebound, but the second half of 2025 trended lower: $94 in August, $73 in September, $41 in October, and $26 in November. The cadence in H2 looks like an orderly normalization after Q1-Q2 volatility.
By contrast, the global benchmark remained tight in a $45–$54 band for most of the year, then softened late, landing at $30 in November 2025. That pattern suggests broad market stability with a Q4 dip, while Energy and Mining moved from extreme elevation to sub-benchmark territory.
Across all countries, Energy and Mining’s CPP averaged ~$175—about 3.6x the global average (~$48) for the same horizon, or +265% above market. The gap was widest in January 2025 (+866%, $504 vs. $52) and narrowed dramatically through the year. Notably, the industry dipped below the benchmark in March (−5%), October (−9%), and November (−15%). The distance compressed from +459% in November 2024 ($239 vs. $43) to −15% by November 2025 ($26 vs. $31).
Comparing halves: H1 2025 for Energy and Mining averaged ~$285, while H2 averaged ~$59 (−79%). The global benchmark eased modestly from ~\$51.5 in H1 to ~\$44.6 in H2 (−13%). In short, the market rose steadily then softened, while Energy and Mining was far more volatile, ultimately converging below market by Q4.
Facebook Ads benchmarks for Cost Per Purchase reveal that Energy and Mining across all countries saw outsized Q1 costs, a midyear rebound, and a decisive late-year normalization—moving from 3–9x above the global level to slightly below it. Understanding CPP trends, alongside broader CPC trends, CPM analysis, and CTR performance, helps contextualize industry ad performance for Energy and Mining in a global frame.
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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