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
E-commerce ran slightly cheaper than the market on Cost Per Purchase (CPP) across all available countries, but with sharper swings. Over the 13-month view, E-commerce CPP averaged $45.14 versus a $48.06 global benchmark—about 6% lower—while tracing a steeper arc from a December lift to an April peak and a late-year slide that culminated in a pronounced November low. Volatility stood out: movements were larger and more frequent than the broader market, with the widest gaps opening in late summer and narrowing again by November.
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 E-commerce in all available countries compared to the global benchmark.
The period begins at $43.92 in November 2024, surges 19% to $52.37 in December, then softens to $45.31 in January. After an 11% rebound to $50.52 in February, E-commerce CPP reaches its high at $53.32 in April 2025, before stepping down through mid-year and sliding into Q4. The series closes at $29.95 in November 2025—down 32% from the starting point and 44% below the April peak.
Across the year, the average was $45.14, with monthly CPP ranging from the $53s (April) to just under $30 (November). Month-to-month volatility averaged $4.33, with the sharpest drop in November 2025 (−$10.66 from October). By comparison, the global benchmark moved a milder $3.45 on average each month and finished at $30.61.
Seasonality is clear. A December run-up is followed by a January pullback, a brief late-winter lift into April, then a measured descent through summer and early fall. The holiday spike is visible for both series, though E-commerce’s December lift (+19% vs. November) outpaced the market (+17%). In H1 2025, E-commerce averaged $48.63; by July–October it eased to $42.22, and when November is included the back-half average fell to $39.76.
The rhythm diverges in late summer. While the global line shows an August bump, E-commerce stays flat in August and continues easing into September and October before a steep November reset. Performance typically tightens in Q4 as competition rises, and the data here show a marked compression by November for both series.
Relative positioning shifted month by month. E-commerce ran above market in November–December 2024 (+3% to +5%) and again in April 2025 (+4%). For most other months it trailed: −13% in January, −6% to −8% in February–March, and deeper gaps through late summer (−14% in August, −16% in September). The spread narrowed by November 2025, with E-commerce just 2% below the global line, as both series hit their annual lows.
Overall, the global benchmark declined 28% from November to November; E-commerce fell 32%—a slightly steeper slide with more month-to-month movement. Ten of thirteen months landed below the global benchmark, underscoring a year where E-commerce CPP was generally more affordable but more volatile.
Closing: Understanding Facebook Ads benchmarks for Cost Per Purchase in the E-commerce industry across all available countries helps quantify country-specific ad costs, compare industry ad performance, and situate CPP trends within the broader CPM analysis and CTR performance patterns of the global market.
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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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.
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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.
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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.
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