See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
August 2025 - August 2026
Detailed observation of presented data
The headline: cost-per-purchase in the United States ran a touch above the global benchmark for most of this 13‑month window, then plunged sharply in July 2026. 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.
Across July 2025–July 2026 the United States averaged roughly $50.00 per purchase (mean ≈ $50.0), with a median near $52.7. The high point arrived in March 2026 at about $59.22 per purchase; the low was July 2026 at $18.61 — a dramatic end‑point that represents about a 65% decline from the period start ($52.71 → $18.61). Over the year the US series shows several pronounced moves: an early run-up from July–October into the mid‑$50s, a November dip into the high‑$40s, a rebound through March to the peak, and then a steady slide into June before the steep fall in July. Average month‑to‑month absolute movement was about $5.63, reflecting meaningful monthlies swings rather than a placid flatline.
Rhythms appear across quarters: late summer into fall (Aug–Oct) saw elevated costs in the mid‑$50s, followed by a softer November and a December uptick into the low‑$50s. March produced the maximum lift in the window. Spring (Apr–May) softened again into the high‑$40s and low‑$40s before the large June→July collapse. These patterns align with typical seasonal pressure points — rising competition into Q4 and visible rebounds into early Q1 — though the July 2026 decline stands out as an unusually sharp discontinuity relative to preceding months.
Compared with the global (baseline) series, the United States generally ran above market. The US mean (~$50.0) sat about 5.2% higher than the global average (~$47.6). Month‑by‑month the US outpaced the global benchmark most months by roughly 1–8% (smallest gap ~+1.3% in May; largest ~+8.4% in December). The final month reversed that pattern: July 2026 saw the US about 5.5% below the global benchmark as both series experienced a steep drop. Volatility in the US series was also higher — average absolute monthly change ~$5.63 vs baseline ~$4.78, roughly an 18% bigger swing.
This review of cost per purchase — framed within Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance conversations — shows that All industries in the United States tracked modestly above global ad costs for most of the year, with pronounced seasonality and a sharp July 2026 decline that narrowed and then inverted the usual gap between US and global benchmarks. Understanding these country-specific ad costs for All industries in the United States helps contextualize industry ad performance against broader 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.
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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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Cost per lead across different markets
Average cost per purchase benchmarks across industries
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