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
Cost-per-purchase moved through a compact but choppy year — ending higher than it began and punctuated by a deep trough in late spring and a sharp rebound into June. 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 All countries compared to the global benchmark.
Across the 13-month window from June 2025 to June 2026, the median cost per purchase averaged about $50.12. The series began at $49.14 in June 2025 and finished at $54.32 in June 2026, a net rise of roughly $5.18 — about a +10.5% increase. The high point arrived in March 2026 at $55.51, while the low landed in May 2026 at $42.17 — a range of about $13.33, or roughly 26.6% of the annual average.
Monthly dynamics show meaningful momentum swings. Late 2025 held a plateau around $49–$52 through August–October, then softened into November ($46.32). Q1 2026 built to a peak in March (+10.7% month-over-month from February), followed by a steep two-month drop into May (April −11.9%, May −13.8%). The move from May to June was the year’s largest single-month lift: +28.8%, taking cost-per-purchase from the trough back above $54.
Rhythms in the data point to a summer-to-fall plateau (August–October around $52) and a customary Q4 softening that extended into November. Early 2026 showed an acceleration into March, often associated with fiscal-year and campaign timing effects, then a pronounced soft patch in April–May before a strong June rebound. Volatility is notable: average absolute month-to-month moves were near 8% — indicating a choppier cadence than a wholly steady market.
Because the selected series represents All industries in All countries and mirrors the baseline, the market-level trend here matches the global benchmark exactly across months. Relative phrasing becomes an identity: this All countries, All industries cost-per-purchase line is neither above nor below the benchmark — it is the benchmark. That equivalence highlights how the global median traced a mid-$40s to mid-$50s dollar range, with the same seasonal troughs and spikes described above.
Understanding Facebook Ads cost-per-purchase benchmarks, country-specific ad costs, and industry ad performance for all industries in all countries offers a clear view of market-level CPC trends, CPM analysis context, and CTR performance framing — particularly when the selected series aligns exactly with the global baseline for cost-per-purchase.
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.
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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.
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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