Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Consumer Goods in Canada

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

Cost Per Purchase for Consumer Goods in Canada

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Consumer Goods in Canada shows a higher cost-per-purchase on average than the global baseline (+1.8%), with markedly higher volatility.
  • Clear seasonal pattern: modest lift into winter, a pronounced spike in April–May, and a sharp drop in September.
  • Above market in 9 of 12 months; most elevated vs. baseline in April (+~19%), most below in September (−~42%).

What this analysis covers

This analysis looks at cost-per-purchase trends for industry Consumer Goods and target country Canada compared to the global trend. We review monthly medians from October 2024 to September 2025 for both the selected data and the global baseline.

Selected trend overview: Consumer Goods in Canada

  • Average: 48.70 across the period.
  • High/low: High in April 2025 at 61.35; low in September 2025 at 18.65.
  • First-to-last change: Down 60.2% from October 2024 (46.87) to September 2025 (18.65).
  • Volatility:
  • Average month-to-month absolute move: 6.03.
  • Range: 42.70 points (61.35 to 18.65), indicating substantial variability.
  • Notable movements:
  • Winter lift: December (48.61) up from November (45.74).
  • Strong run in early 2025: January–June averaged 55.80, peaking in April (61.35) and staying elevated through May (57.78).
  • Summer softness and sharp correction: July dipped to 43.77, a mild rebound in August (45.98), then a steep drop in September to 18.65 (−59.5% month-over-month).

Comparison to the global baseline

  • Baseline average: 47.82; high of 53.89 in February 2025; low of 32.29 in September 2025.
  • Relative level: Canada’s Consumer Goods cost-per-purchase averaged 1.8% above the global benchmark, with a more pronounced midyear spike and deeper September dip.
  • Volatility:
  • Baseline average month-to-month move: 3.25 (about half the volatility of the selected data).
  • Baseline range: 21.60 points vs. 42.70 for Canada.
  • Month-by-month positioning:
  • Above market in October, November, January–June, and August.
  • Below market in December, July, and September.
  • Largest positive spread in April (Canada +~19% vs. baseline); largest negative in September (−~42% vs. baseline).
  • Seasonal read:
  • Both series show Q4-to-winter increases, with the baseline peaking in February. Canada extends that rise into April–May before correcting.
  • Costs typically increase around holiday and winter periods; this dataset shows the selected segment sustaining higher costs later into spring.

Summary

Consumer Goods in Canada ran slightly above the global cost-per-purchase average but with materially higher volatility, characterized by an extended early-year surge and an outsized September drop. Compared to global patterns that peak in February and taper steadily, Canada’s segment spiked more in April–May and corrected more sharply at the end of Q3. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Consumer Goods 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 Consumer Goods 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.