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

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Cost Per Purchase for Fitness & Training Centers in Norway

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Fitness & Training Centers and target country Norway compared to the global trend; it is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The selected series sits well above market: average 273.38 versus a global baseline of 50.85 over the same months (+438%, ~5.4x higher).
  • Volatility is high in the selected data (average month-to-month move ~59%) versus a very steady baseline (~5.6%).
  • Clear seasonality: a sharp spike in November (Q4), another surge in January, then easing into March–April. The baseline shows a mild Q4–Q1 lift and remains stable.
  • From the first to last observed month, cost-per-purchase in the selected data fell 74%, while the baseline rose 19%.

Selected trend overview

  • Period covered: Nov 2024–Apr 2025.
  • Average: 273.38; median: 219.01; range: 134.65–526.85 (range equals ~144% of the average).
  • High: 526.85 in Nov 2024. Low: 134.65 in Mar 2025 (Apr 2025 is similar at 136.01).
  • Month-to-month shifts:
  • Nov → Dec: −68.4% (526.85 to 166.24)
  • Dec → Jan: +143.5% (166.24 to 404.76)
  • Jan → Feb: −32.8% (404.76 to 271.78)
  • Feb → Mar: −50.5% (271.78 to 134.65)
  • Mar → Apr: +1.0% (134.65 to 136.01)
  • First-to-last change: −74% (Nov to Apr), indicating a substantial normalization after Q4–Q1 peaks.

Comparison to the global baseline

  • Baseline period aligned to the same months for comparability (Nov 2024–Apr 2025).
  • Baseline average: 50.85; high: 53.89 (Feb 2025); low: 43.19 (Nov 2024).
  • Baseline volatility is mild, with small, steady changes: +19.3% in Dec, then +1.5% in Jan, +3.0% in Feb, −2.4% in Mar, −1.9% in Apr.
  • Relative positioning by month (selected vs. baseline):
  • Nov: ~12.2x above market
  • Dec: ~3.2x above market
  • Jan: ~7.7x above market
  • Feb: ~5.0x above market
  • Mar: ~2.6x above market
  • Apr: ~2.6x above market
  • Over the period, the baseline climbed +19% (Nov to Apr), while the selected data declined sharply, yet remained consistently above market each month.

Seasonality and volatility

  • Seasonal pressures are visible: costs are typically elevated in Q4; here, November is the cycle peak. January shows a renewed surge before a sustained decline into March–April, consistent with post-holiday easing.
  • The selected series exhibits materially higher volatility than the baseline, with large swings between months, especially Nov↔Dec and Dec↔Jan.

Scope and context

  • Selected data: Fitness & Training Centers in Norway.
  • Baseline: global aggregate benchmark.
  • Comparison focuses on overlapping months (Nov 2024–Apr 2025) to ensure like-for-like reading.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Fitness & Training Centers and Norway 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 Norway, 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.

Norway Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 17Maundy Thursday
Apr 18Good Friday
Apr 20Easter Sunday
Apr 21Easter Monday
May 1Labour Day
May 17Constitution Day
May 29Ascension Day
Jun 8Whit Sunday
Jun 9Whit Monday
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Singles Day), December (Christmas & post‑Christmas sales), Spring holiday period (April–May travel and tourism)

Potential Advertising Impact

CPM and CPC could rise during Easter and Ascension when Norwegians travel or spend time on leisure. Constitution Day (May 17) is widely celebrated—media activity may increase and ad competition could intensify. Most public holidays result in shop closures; ad inventory may shrink during holidays. Pentecost weekend may reduce weekday competition.

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.

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