Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. In plain terms: Cost per Purchase for Fitness & Training Centers ran materially above the overall benchmark across the year, showing pronounced seasonality and high volatility with a few sharp swings. This analysis explores ad performance trends for Fitness & Training Centers in All countries available compared to the global benchmark.
Cost per Purchase for Fitness & Training Centers started at roughly $129 in July 2025 and finished at about $114 in June 2026 — an overall decline of ~11% from start to finish. The series averaged about $111 per purchase, with a high of ~$142 in September 2025 and a low of ~$66 in February 2026. By contrast, the global baseline averaged roughly $50 over the same period, peaking near $56 (March) and bottoming near $43 (June).
Month-to-month momentum matters here: after an early ramp July→September (+10%), the metric held near the September peak into October, then plunged sharply into November (−24%). Through winter it trended lower into February (the trough), then rebounded strongly in March (+51% from February) and climbed into April before settling around $112–$119 in May–June. The average monthly absolute move was about $13.6 — a large degree of month-to-month churn.
The cadence shows a late-summer peak (September) and a winter trough (February), with the steepest intra-year drops occurring between October→November and December→January. The rebound in March is notable — a rapid lift of roughly $34 from February, followed by a steadier climb through April. Overall, the pattern reads like a high summer peak, a sharp cool-off in late autumn/early winter, and a spring rebound, producing a jagged seasonal rhythm rather than a smooth trend.
Measured against the global baseline, Fitness & Training Centers in All countries available ran consistently above market. On average the cost-per-purchase was about 122% higher than the global benchmark ($111 vs $50). The gap widened and narrowed: at its narrowest (February) the category was about 32% above the baseline; at its widest (September) it was roughly 168% above. Volatility was also markedly different — the industry’s average monthly swing (~$13.6) was roughly 4.4× the baseline’s average monthly move (~$3.1), making Fitness & Training Centers a much more volatile line item in category-level Cost per Purchase benchmarks.
This data-driven view of Cost per Purchase for Fitness & Training Centers across All countries available places the category well above Facebook Ads benchmarks and highlights a pattern of summer peaks, winter troughs, and a strong spring rebound. Understanding Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, country-specific ad costs, and industry ad performance for Fitness & Training Centers in All countries available frames how this metric moved against the broader global benchmark.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Fitness & Training Centers industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
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.
Higher-priced products typically have a higher CPA because people take longer to convert. A higher CPA can work when the margin supports it. Measure CPA with AOV and LTV.
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.
Manual bidding can help advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and requires more effort.
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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