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

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Cost Per Purchase for Fitness & Training Centers in Australia

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: monthly trends and comparison

Key takeaways

  • For Fitness & Training Centers in Australia, average cost-per-purchase over Nov 2024–Apr 2025 was 251.89, which is 4.95x (≈395%) above the global baseline average of 50.85 for the same months.
  • Volatility is high: average month-to-month absolute change was 148.51 (≈59% of the mean), versus just 2.60 (≈5%) in the baseline—roughly 11–12x more volatile.
  • Highs and lows: the selected series peaked in Jan 2025 at 404.76 and hit a low in Mar 2025 at 134.65. The baseline ranged narrowly from 43.19 to 53.89.
  • Directionally, the series fell 65.86% from the first month (Nov 2024) to the last (Apr 2025), landing closer to—but still well above—the global norm.
  • Seasonal pattern: elevated costs in late Q4/early Q1 (Nov and Jan spikes), followed by easing through March–April. The baseline shows mild Q4–Q1 firmness but far less movement.

About the data and scope

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

Selected trend overview (Fitness & Training Centers, Australia)

  • Average: 251.89 across six months (Nov 2024–Apr 2025).
  • High/Low: High in Jan 2025 at 404.76; low in Mar 2025 at 134.65 (range: 270.11).
  • Month-to-month changes:
  • Nov → Dec: -58.34% (398.21 → 165.95)
  • Dec → Jan: +143.90% (165.95 → 404.76)
  • Jan → Feb: -32.86% (404.76 → 271.78)
  • Feb → Mar: -50.43% (271.78 → 134.65)
  • Mar → Apr: +1.01% (134.65 → 136.01)
  • First-to-last shift: -65.86% (398.21 in Nov 2024 to 136.01 in Apr 2025).
  • Volatility: Average absolute month-to-month change of 148.51; standard deviation is high, reflecting sharp swings.

Comparison to the global baseline

  • Average vs. baseline: 251.89 vs. 50.85 (+395% above market, or 4.95x higher).
  • Baseline stability: 43.19 to 53.89 (range: 10.69) with modest Q4–Q1 firmness.
  • Relative positioning by month:
  • Nov 2024: +822% above baseline (9.22x)
  • Dec 2024: +222% above baseline (3.22x)
  • Jan 2025: +674% above baseline (7.74x)
  • Feb 2025: +404% above baseline (5.04x)
  • Mar 2025: +156% above baseline (2.56x)
  • Apr 2025: +164% above baseline (2.64x)
  • Volatility comparison: normalized volatility ≈59% (selected) vs. ≈5% (baseline), indicating the selected market is far more variable month to month.

Seasonal patterns and volatility

  • Seasonal cues: costs are elevated in late Q4 and early Q1, with a pronounced spike in January, followed by lower levels in March–April. This aligns with broader patterns where costs often firm up around holiday and early-year periods, though the magnitude here is well above the global trend.
  • Overall, the selected series remains above market every month, with the premium ranging from +156% to +822% versus the global benchmark.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Fitness & Training Centers and Australia 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 Australia, advertisers typically see good engagement rates despite moderate costs. 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.

Australia Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 27Australia Day (observed)
Apr 18‑21Easter weekend
Apr 25Anzac Day
Jun 9King's Birthday
Oct 6Labour Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late December (Christmas and Boxing Day), Early December (Cyber Monday), January (Back-to-school), May (Mother's Day)

Potential Advertising Impact

Ad costs could spike around major holidays, especially Easter, Anzac Day, and Christmas. Increased budgets and earlier scheduling may be necessary. Retailers should consider planning promotions around back-to-school and Mother's Day to maximize campaign effectiveness.

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.