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Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining in Argentina

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Energy and Mining in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Energy and Mining and target country Argentina compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No Argentina Energy and Mining time-series was available for this period, so results below reflect the global baseline. Relative positioning for Argentina cannot be computed.
  • Globally, average cost per purchase across the last 12 months was 47.82, with a high in February 2025 (53.89) and a low in September 2025 (32.29).
  • Costs rose into December–February, then eased through mid-year, with a sharp dip in September. Overall change from October 2024 to September 2025 was -30.8%.
  • Month-to-month volatility was moderate on average (about 3.25 points, ~6.8% of the baseline average), punctuated by a December spike and a large September drop.

Context and scope

  • Industry: Energy and Mining
  • Country: Argentina
  • Metric: cost per purchase (median by month)
  • Data coverage: Global baseline only for the comparison period; selected (Argentina, Energy and Mining) data was not available.

Global baseline overview (monthly medians)

  • Average: 47.82
  • Median (across months): 48.96
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Range: 21.60
  • First-to-last change: from 46.67 (October 2024) to 32.29 (September 2025), a decrease of 30.8%.

Volatility and month-to-month movements

  • Average absolute month-to-month change: 3.25 (~6.8% of the average level).
  • Largest increase: November to December (+8.34, +19.3%), lifting costs from 43.19 to 51.53.
  • Largest decrease: August to September (-13.40, -29.3%), dropping from 45.69 to 32.29.
  • Other notable shifts:
  • October to November declined by -3.48 (-7.5%).
  • May to June declined by -4.01 (-7.9%).
  • Seasonal pattern: Costs softened in November, climbed into December and peaked in February, then generally eased through mid-year before a pronounced decline in September. This aligns with typical Q4 and early Q1 competitive pressure observed in Facebook Ads benchmarks, followed by mid-year stabilization.

Comparison to the selected market

  • Selected data (Energy and Mining in Argentina) was not available for the period; therefore, a direct comparison to the global baseline—such as “above market,” “below average,” or “in line with overall trends”—cannot be established.
  • Given the baseline, marketers should note the December-to-February elevation and late Q3/September softness as the prevailing global pattern for cost per purchase over the last 12 months.

Understanding cost per purchase benchmarks on Facebook Ads in industry Energy and Mining and Argentina helps advertisers make more efficient budget and creative choices.

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. For campaigns targeting Argentina, advertisers should consider local market factors and user behavior. 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.

Argentina Advertising Landscape

National Holidays

Jan 1New Year's Day
Mar 3‑4Carnival
Mar 24Truth & Justice Memorial
Apr 2Malvinas Day
Apr 18Good Friday
May 1Labour Day
May 25May Revolution Day
Jun 16Martín Miguel de Güemes Day
Jun 20Flag Day
Jul 9Independence Day
Aug 18San Martín Memorial Day
Oct 13Cultural Diversity Day
Nov 24National Sovereignty Day
Dec 8Immaculate Conception
Dec 25Christmas

Key Shopping Season

December (Christmas period)

Potential Advertising Impact

CPM might rise significantly during Carnival, Independence Day, and Christmas season. Retail and entertainment campaigns could require increased budgets.

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.

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