Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Textiles in Canada

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

Cost Per Purchase for Textiles in Canada

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for the Textiles industry in Canada compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Canada’s Textiles cost per purchase averaged 36.80 across the last 12 months, 23% below the global baseline average of 47.82 — broadly below market most of the year.
  • Volatility was high: average month-to-month movement was 19.73 (about 54% of the average), versus a steadier global baseline at 3.25 (about 7% of the baseline average).
  • Seasonality diverged from the norm: while the global trend was higher in Q4–Q1, Canada’s series dipped in late Q4 and bottomed in June, then spiked sharply in September.

What the selected time series shows

  • Average: 36.80
  • High/low: peak at 86.30 in September 2025; low at 8.60 in June 2025.
  • First-to-last shift: from 61.22 in October 2024 to 86.30 in September 2025, a +41% increase.
  • Volatility: average absolute month-to-month change of 19.73; range of 77.69 between the low and high.
  • Notable moves:
  • Sharp declines: October to November (-53%), January to February (-51%), May to June (-76%).
  • Sharp spikes: August to September (+109%).
  • Seasonal notes: No sustained Q4 premium; costs eased from October into November–December, hit a trough in June, then surged into late Q3.

How it compares to the global baseline

  • Average comparison: 36.80 (Canada, Textiles) vs 47.82 (global) — 23% below average, signaling below-market costs most months.
  • High/low baseline: global high at 53.89 in February 2025; low at 32.29 in September 2025.
  • First-to-last shift baseline: 46.67 in October 2024 to 32.29 in September 2025, a -31% decrease.
  • Volatility baseline: average month-to-month change of 3.25 (about 7% of the baseline average), much steadier than Canada’s series.
  • Seasonal pattern baseline: Elevated in Q4 and Q1 (October through February), then gradually softening into late summer.
  • Month-by-month positioning: Canada was above the global baseline in only two months (October and September). In the other 10 months, Canada’s costs were below global levels—often materially so (e.g., April–July and especially June).

Interpreting the pattern for marketers

  • Relative level: Canada’s Textiles cost per purchase was generally below average compared to the global benchmark, but with pronounced swings.
  • Seasonality: The global series reflects typical Facebook Ads benchmarks with Q4–Q1 strength. Canada’s Textiles pattern diverged, with a mid-year low and a late Q3 spike.
  • Stability: The global trend was steady; Canada’s series displayed higher volatility, with multiple double-digit percentage swings month to month.

Understanding cost per purchase benchmarks on Facebook Ads in industry Textiles 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 Textiles 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.