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Facebook Ads CTR Benchmarks for Fitness & Training Centers in Canada

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CTR (Click Through Rate) for Fitness & Training Centers in Canada

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: Fitness & Training Centers in Canada vs global

This analysis looks at click-through-rate trends for industry Fitness & Training Centers and target country Canada compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Overall, Canada’s Fitness & Training Centers click-through-rate (CTR) averaged 1.01%, which is around 43% below the global baseline average of 1.78% across the same months.
  • Seasonality stands out: Canada’s series was muted through fall–spring, then surged in July–August, briefly moving above market.
  • Volatility was high for Canada (average month-to-month move of 0.27 percentage points) versus a much steadier global trend (0.05 percentage points).
  • The global baseline rose gradually from late Q1 through summer; Canada’s industry series spiked sharply in mid-summer.

Selected series (Fitness & Training Centers, Canada)

  • Period covered: Oct 2024 to Aug 2025 (11 months)
  • Average: 1.01%
  • High/Low:
  • High: 2.84% (Aug 2025)
  • Low: 0.51% (Oct 2024)
  • Range: 2.33 percentage points
  • Trend and change:
  • Start vs end: 0.51% (Oct 2024) to 2.84% (Aug 2025), up +461%
  • Month-to-month volatility: average absolute change 0.27 percentage points
  • Notable movements:
  • Mostly subdued from Oct–Jun (0.51% to 0.82%)
  • Sharp summer lift:
  • Jul: 1.99% (+142% vs Jun)
  • Aug: 2.84% (+42% vs Jul)
  • Seasonal pattern: muted Q4 and winter, then a pronounced mid-summer spike.

Global baseline (all industries, all countries)

  • Period aligned for comparison: Oct 2024 to Aug 2025 (11 months); latest available baseline extends to Sep 2025
  • Average (Oct–Aug): 1.78%
  • High/Low (Oct–Aug):
  • High: 2.02% (Aug 2025)
  • Low: 1.67% (Feb 2025)
  • Range: 0.35 percentage points
  • Trend and change (Oct–Aug): 1.76% to 2.02%, up +14.7%
  • Latest baseline data point: 2.12% (Sep 2025), continuing the gradual climb
  • Volatility: average month-to-month move 0.05 percentage points (steady upward drift post-February)

Comparative view

  • Level vs market:
  • Canada Fitness & Training Centers trailed the global baseline in 9 of 11 observed months.
  • Above market in Jul (+4.8% vs baseline) and notably in Aug (+40% vs baseline).
  • Seasonal contrast:
  • Q4 (Oct–Dec) average CTR:
  • Canada Fitness & Training Centers: 0.62%
  • Global baseline: 1.73%
  • Summer (Jun–Aug) average CTR:
  • Canada Fitness & Training Centers: 1.88%
  • Global baseline: 1.92%
  • Interpretation: Canada’s industry CTR was far below market in Q4, then converged with and briefly exceeded the global trend in summer.
  • Stability:
  • Canada’s industry series showed larger swings (range 2.33 pp) vs the global baseline’s tighter band (0.35 pp), indicating higher volatility.

What marketers should note

  • Canada’s Fitness & Training Centers CTR was below average for most of the year but surged in July–August, aligning with and then surpassing the global baseline.
  • The global trend shows a gradual lift from late Q1 into Q3, while Canada’s industry trend is characterized by a late, concentrated spike.

Understanding click-through-rate benchmarks on Facebook Ads in industry Fitness & Training Centers and Canada helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. In the Fitness & Training Centers 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. 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. 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 is CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.