See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
June 2025 - June 2026
Detailed observation of presented data
The main story: cost-per-purchase in the United States ran consistently above the global benchmark across this 13-month window, with steady mid-year levels, a late-winter uptick and a pronounced spike in June 2026. Volatility was higher in the U.S. than the baseline, driven by a sharp fall into May 2026 and an outsized rebound the following month.
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 available in the United States compared to the global benchmark.
Starting in June 2025 at about $52.85 per purchase, U.S. cost-per-purchase finished the period in June 2026 at $70.05 — a roughly 33% rise from start to finish. Across the 13 months the U.S. median was $54.0 per purchase (rounded), with a low of $42.75 in May 2026 and a high of $70.05 in June 2026. By contrast the global baseline averaged about $50.12 over the same months.
Monthly movements show a mostly elevated U.S. line relative to baseline: the United States ran between roughly 1–8% above global levels for most months, with a consistent gap in the mid-single-digits until a clear outlier in June 2026 when the U.S. sat nearly 29% above the baseline. Notable moves include a decline from October 2025 (~$55.84) to November 2025 (~$47.93), a recovery into March 2026 peaking near $58.60, then a drop to the period low in May 2026 before the large June spike.
Volatility measured as average month-to-month absolute change was about $5.9 in the U.S. (≈11% of the U.S. mean), versus roughly $3.8 for the global benchmark — indicating U.S. cost-per-purchase was materially choppier year-over-year.
Rhythm in the series shows mid-year steadiness in summer 2025, a pullback around November, and a rebound into early Q1 2026 — with March showing a local high. The late-spring trough in May 2026 is followed by an unusually sharp jump in June 2026. Overall, the cadence includes multi-month rises and falls rather than a simple linear trend: pockets of elevated costs in late Q4 and early Q1, softer results into late spring, and a sudden June surge to close the window.
These patterns echo common seasonal pressure points in advertising calendars but manifest here as dollar swings in cost-per-purchase rather than only in volume or reach metrics.
Across the year the United States ran above the global benchmark most months — typically 3–8% higher — making U.S. cost-per-purchase “above market” by a modest margin through the period. The global trend was smoother (average monthly absolute change ≈ $3.8) while the U.S. was more volatile (≈ $5.9), especially visible in the May–June 2026 pair where the U.S. moved from a low to the period’s peak. At its narrowest gap (May 2026) U.S. costs were roughly 1–2% above global; at its widest (June 2026) the gap expanded to just under 30%.
While this brief centers on cost-per-purchase, it sits within broader Facebook Ads benchmarks that also include CPC trends, CPM analysis and CTR performance as related signals for industry ad performance and country-specific ad costs.
Understanding Facebook Ads cost-per-purchase benchmarks for All industries available in the United States helps contextualize purchasing-cost trends and compare U.S. industry ad performance to global patterns.
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.
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.
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.
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