See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Across all industries and all countries, cost per purchase (CPP) followed a familiar arc: a sharp holiday run-up, a high plateau in early Q1, then a steady cool-down into mid‑year before a late‑year softening. The period opened at $42.70 in November 2024, surged into December, peaked in February 2025, and ultimately closed at $43.29 in October—almost right back where it started. Volatility was moderate, with average month-to-month movement of about $2.5. Standout moments included December’s jump and an unusually soft October. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for all industries across all countries compared to the global benchmark.
The year’s narrative is a climb, a crest, and a controlled descent. CPP started at $42.70 in November 2024, leapt to $50.11 in December (+17%), and continued higher into Q1: $52.02 in January and a cycle high of $53.80 in February. From there, costs eased: $52.48 in March, $51.56 in April, $51.20 in May, and a mid‑year trough at $47.18 in July (−12% from February). A brief rebound surfaced in August ($50.27, +6.5% vs. July), followed by a pullback in September ($48.67) and a sharper drop in October ($43.29, −11% vs. September).
Across the 12 months, CPP averaged $49.3 with a midpoint (median of monthly medians) at $50.19. Seven of the 12 months sat above the period average (December through May and August), while five were below (November, June, July, September, October). The full peak‑to‑trough swing—from February’s $53.80 to November’s $42.70—spanned roughly $11.10, about 22% of the overall average. Monthly volatility averaged $2.5, a measured cadence rather than sharp whipsaws.
Seasonality was visible and orderly. Q4 2024 showed the classic step‑up into December as competition intensified around peak shopping windows. Early Q1 held that elevated level, culminating in February’s high, before giving way to a gradual normalization through spring and early summer. Q3 brought mixed signals—a July floor, a constructive August bounce, and a mild September fade—then a softer‑than‑typical entry into Q4 with October marking the lowest CPP since November. In broad terms, the rhythm aligned with well-known Facebook Ads benchmarks dynamics: higher costs when demand spikes (late Q4, early Q1) and more forgiving levels in mid‑year.
Because this cut aggregates all industries across all countries, it is, by definition, the global benchmark. The selected view and the baseline move in lockstep throughout the period—no gap, no divergence, identical volatility (~$2.5 average monthly change). The overall arc—+26% from November to February, −12% from February to July, and a net +1% from November to October—holds exactly the same in both series.
These Facebook Ads benchmarks for cost per purchase, spanning all industries across all countries, show a clear seasonal crest in early Q1, a mid‑year easing, and a softer October close. For teams tracking CPP alongside CPC trends, CPM analysis, and CTR performance, this global view sets a reliable reference point for country-specific ad costs and broader industry ad performance patterns. Understanding cost per purchase benchmarks for all industries across all countries helps advertisers interpret global CPP movement against well-established seasonal forces.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.
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.
Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
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. That's not necessarily a problem if your margin can support it. You should measure CPA in context 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 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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app