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Facebook Ads Cost Per Purchase Benchmarks for Fitness & Training Centers in United States

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

Cost Per Purchase for Fitness & Training Centers in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: 12‑month summary

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

Key takeaways

  • The United States Fitness & Training Centers segment ran above market: average cost-per-purchase of 118.2 versus a global baseline of 47.8 (about 2.5x higher).
  • Highest month was July (176.98), lowest was September (15.17), indicating elevated volatility with a sharp late‑Q3 dip.
  • From first to last month, the selected series fell 86.0% (October to September), while the baseline declined 30.8%.
  • Volatility was high: average month‑to‑month swing of 31.4 for the selected data versus 3.3 for the baseline.
  • Seasonal shape: no pronounced Q4 spike in the selected series; costs climbed into January and through summer, peaking in July, then dropped sharply in September.

Selected data overview (United States, Fitness & Training Centers)

  • Average: 118.2; median: 127.9; range: 15.17–176.98.
  • Highs and lows:
  • High: 176.98 in July.
  • Low: 15.17 in September.
  • Notable movements:
  • Largest increase: +56.65 from December to January (88.39 → 145.04).
  • Summer build: April → July rose from 124.35 to 176.98.
  • Largest decrease: −132.20 from August to September (147.37 → 15.17).
  • Trend by quarter:
  • Q4’24 average: 92.7
  • Q1’25 average: 131.4
  • Q2’25 average: 135.5
  • Q3’25 average: 113.2 (skewed down by September’s drop)

Comparison to the global baseline

  • Level comparison:
  • Selected averaged 118.2 vs baseline 47.8 (median 127.9 vs 49.0).
  • The selected series was above the baseline in 11 of 12 months; the only exception was September (15.17 vs 32.29), when it dipped 53% below market.
  • Peak relative gap in July: 3.8x above baseline (176.98 vs 46.21).
  • Volatility:
  • Selected average monthly change: 31.4; baseline: 3.3.
  • Baseline stayed within a narrower band (range 32.29–53.89) with its high in February.
  • Directional change (first to last month):
  • Selected: −86.0% (October to September).
  • Baseline: −30.8% (October to September).

Seasonal patterns and context

  • The selected series did not show a classic Q4 run-up; costs softened in November/December, then surged in January.
  • A gradual climb through Q2 culminated in a midsummer high (July), followed by a pullback in August and an outlier drop in September.
  • The baseline remained comparatively steady, modestly elevated in winter (January–March), and easing into Q3.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Fitness & Training Centers and United States 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 Fitness & Training Centers industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting United States, advertisers often face higher costs due to high competition and purchasing power. 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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.