See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
Retail cost-per-purchase in the All countries aggregate moved with clear momentum but lower absolute cost than the global benchmark. Across the period, the Retail cost-per-purchase series ran below the baseline for most months, with a pronounced December trough and a spring rebound that produced the year’s high. 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 Retail in All countries compared to the global benchmark.
Starting in June 2025 at about $36.36, Retail cost-per-purchase in All countries finished one year later in June 2026 at roughly $28.86 — a net decline of about 20.6%. The series averaged roughly $35.56 across the 13 months, with a low of $27.08 (December 2025) and a high of $43.56 (April 2026). Volatility measured as a standard deviation was about $4.35 — roughly 12% of the mean — indicating moderate month-to-month swings. Notable moves include a sharp December dip (~22% down from November to December), a steady climb through March and April (peaking in April at +21% vs. the December low), and a pullback into late spring.
These month-level moves created a rhythm of trough and rebound: the series declined into holiday season low, lifted in the first quarter, hit its peak in April, then eased through May into June.
Seasonality is visible. December 2025 shows a clear softness: cost-per-purchase fell to the series low of $27.08, a fall of roughly 22% month-over-month from November. Early Q1 shows a recovery pattern — January and February re-centered in the low-to-mid $30s before March’s and April’s spike. March-April 2026 produced the largest sustained uplift, with March at ~$40.70 (+19% vs. February) and April topping at ~$43.56. May and June saw renewed cooling, with June ending near $28.86. These moves suggest a repeatable seasonal cadence of late-year softness and spring rebound in the Retail cohort.
Compared with the global baseline, Retail in All countries ran consistently below market for most of the year. The baseline averaged about $48.18, meaning Retail’s average was roughly 26% lower than the global benchmark. Month-to-month gaps varied: the widest gap occurred in December 2025 when Retail was about 45% below the global baseline; the narrowest gap was in April 2026 when Retail was roughly 12% below. Notably, the global baseline itself collapsed into June 2026 (baseline = $25.50), which temporarily put Retail above the benchmark in that month by about 13%. Overall, the global trend showed larger absolute dispersion (SD ≈ $7.07, ~14.7% of its mean) versus Retail’s more moderate volatility.
Understanding Cost Per Purchase benchmarks and Facebook Ads benchmarks for Retail in All countries clarifies how industry ad costs track against broader CPM analysis and CPC trends — and frames cost-levels for country-specific ad costs and industry ad performance comparisons.
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 Retail industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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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