See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Cost per Purchase (CPP) in the United States sat consistently above the global benchmark across the past 13 months, with a clear first‑half lift, midyear easing, and a pronounced Q4 compression punctuated by a November trough and a modest December rebound. The story is steady premium pricing for conversions in the U.S., more volatility than the global composite, and a late‑year divergence where the U.S. bounced while the world average continued to soften.
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 in the United States compared to the global benchmark.
The pattern tracks a familiar arc: elevated CPPs early in the year as demand holds, gradual softening through midyear, then a Q4 reset. Notably, despite typical late‑year auction intensity, CPP in the United States fell sharply in November before rebounding in December. February stood out as the yearly high, while July marked the midyear low point before a brief late‑summer lift. The stretch from August through October was comparatively balanced, followed by the November dip that reset costs to the cycle’s floor.
Across all industries, the United States carried a CPP premium versus the global benchmark every month in the period.
Taken together, Facebook Ads benchmarks for Cost per Purchase show the United States running consistently above the global composite for all industries, with higher volatility, a February peak, and a pronounced November trough followed by a December rebound. Understanding Cost per Purchase trends for all industries in the United States helps ground country-specific ad costs in a global context and clarifies how U.S. industry ad performance aligns with broader CPM analysis, CPC trends, and CTR performance benchmarks.
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. For campaigns targeting United States, advertisers often face higher costs due to high competition and purchasing power. 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.
This dataset updates frequently as new ad data flows in. It will only get bigger and better.
Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)
CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.
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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Average cost per purchase benchmarks across industries
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