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August 2025 - August 2026
Detailed observation of presented data
Canada’s cost-per-purchase (All industries) traced a choppy upward arc over the last 13 months, finishing notably above the year’s starting point and slightly above the global baseline. 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 All industries in Canada compared to the global benchmark.
The Canadian COST_PER_PURCHASE opened at about 45.27 (July 2025) and closed at a peak of 71.25 (July 2026), a net rise of roughly 57% from start to finish. Across the period the Canadian median landed at approximately 51.4, with the low of roughly 39.15 in November 2025 and the high of 71.25 in July 2026. By contrast the global baseline averaged about 47.6 over the same months.
Month-to-month movements in Canada were pronounced: sharp lifts in August 2025 (+42%) and December 2025 (+45%), followed by steep retrenchments in September 2025 (−31%) and February 2026 (−28%). The largest single month jump occurred from June to July 2026 (+54%). These swings produced an average absolute monthly change near 25% — a high-volatility pattern for a cost metric.
Seasonal rhythm was uneven rather than smooth. Late summer 2025 showed a strong lift, autumn posted the year’s trough (November 2025), and winter delivered a rebound that held into January 2026. Spring months saw alternating gains and pullbacks (March and May lifts, April and June dips), culminating in a pronounced July 2026 spike. Across the calendar, Q4 and late-Q1 shifts had visible amplitude; the pattern reads as episodic spikes and dips rather than gradual seasonal drift.
Canada’s COST_PER_PURCHASE sat above the global benchmark on average (≈51.4 vs ≈47.6; ~8% higher). But month-by-month the relationship flipped repeatedly: Canada trailed the baseline in several months (e.g., September–November 2025 and February–April 2026, often 10–20% below), and exceeded it in others (August 2025, December–January 2026, May and June–July 2026). Volatility comparison is stark: Canada’s average monthly absolute change (~25%) was substantially higher than the global average (~10%), signaling a more turbulent market for cost-per-purchase in Canada over this window. The gap was widest in July 2026, when Canada’s median (~71.3) sat far above the global baseline (~19.7), reflecting an outsized divergence in that month.
Understanding Cost Per Purchase benchmarks for All industries in Canada provides a data-grounded view for comparisons across Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, country-specific ad costs and broader industry ad performance in Canada.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.
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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Late November (Black Friday and Cyber Monday), December (holiday shopping, Boxing Day), Back-to-school (August-September), Mother's Day (May)
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.
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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Average cost per purchase benchmarks across industries
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