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

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Cost Per Purchase for Energy and Mining in Canada

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Scope: This analysis looks at cost-per-purchase trends for Energy and Mining in Canada compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Data availability: No selected data points were available for Energy and Mining in Canada in the provided timeframe, so relative positioning (above market/below average) cannot be quantified. Global baseline results are reported for context.
  • Seasonality: The global baseline shows a clear Q4-to-Q1 rise in cost-per-purchase, with a notable December spike and a February peak, followed by steady softening into summer and a sharp drop in September.
  • Volatility: Across the global baseline, average absolute month-to-month movement was about 7%, with the largest single-month decline in September (-29% month-over-month).

Selected data: Energy and Mining in Canada

  • No monthly values were provided for the selected industry-country combination.
  • As a result, averages, highs/lows, percentage change, and volatility for the selected series cannot be computed.
  • No comparison can be drawn to determine whether Canada’s Energy and Mining cost-per-purchase is above market, below average, or in line with overall trends.

Global baseline overview (directional context)

  • Timeframe: Oct 2024 to Sep 2025
  • Average cost-per-purchase across the period: 47.82
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • First-to-last change: Down 30.8% from October 2024 (46.67) to September 2025 (32.29)
  • Month-to-month volatility:
  • Average absolute change: ~7%
  • Largest increases: +19.3% from November to December; +3.0% from January to February
  • Largest declines: -29.3% from August to September; -7.9% from May to June
  • Half-year contrast:
  • Jan–Jun average: 51.38
  • Jul–Sep average: 41.39
  • Late summer/early fall averaged ~19% lower than H1

Seasonal patterns

  • Q4 spike: Costs dipped in November then surged into December (51.53, +19% month-over-month), aligning with holiday pressure seen in Facebook Ads benchmarks.
  • Early Q1 peak: February set the period high (53.89), keeping cost-per-purchase elevated across Q1 (Jan–Mar average ~52.94).
  • Gradual easing: A steady step-down from April through August (51.57 to 45.69).
  • Sharp September drop: The lowest point of the year (32.29), marking a -29% month-over-month decline.

Comparison: selected data vs global baseline

  • Because the selected series for Energy and Mining in Canada contains no observations, we cannot quantify performance relative to the global baseline or label it as above market, below average, or in line with overall trends.
  • The global baseline, however, indicates typical seasonality marketers may expect in cost-per-purchase: elevated Q4 and early Q1 levels, moderation into mid-year, and an outsized drop in September in this dataset.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Energy and Mining and Canada 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 Canada, 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.

Canada Advertising Landscape

National Holidays

Jan 1New Year's Day
Feb (3rd Mon)Family Day
Apr 18Good Friday
Apr 21Easter Monday (federal)
May (Victoria Day)Victoria Day
Jul 1Canada Day
Sep (1st Mon)Labour Day
Oct (2nd Mon)Thanksgiving
Nov 11Remembrance Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday and Cyber Monday), December (holiday shopping, Boxing Day), Back-to-school (August-September), Mother's Day (May)

Potential Advertising Impact

CPM might increase during Canada Day, Labour Day, and Thanksgiving. Black Friday and Cyber Monday see heightened e‑commerce bidding. December holiday period may spike ad costs. Back-to-school and Mother's Day drive retail competition. Provincial holidays might alter weekday inventory availability.

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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