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
E‑commerce cost-per-purchase followed a choppy, lower-than-market path across the year, with one dramatic spike and an even sharper rebound into the lowest reading of the series. 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 E‑commerce in All countries available compared to the global benchmark.
E‑commerce cost-per-purchase across All countries available started the period at about $35.03 in July 2025 and finished at $16.51 in July 2026 — a fall of roughly 53% from start to finish. The series averaged about $34.34 per purchase, with a low of $16.51 (July 2026) and a high of $55.75 (June 2026). Those extremes bracket a middle that sits materially below the global benchmark: the baseline average over the same months was about $47.55 per purchase, so the E‑commerce median ran roughly 28% lower than the global figure.
Month-to-month movement was pronounced. Small oscillations in late 2025 (mid‑$30s) gave way to a volatile first half of 2026: January dipped to ~$31, March slid to ~$26.90, May climbed back toward ~$37.44, then June jumped to the peak of ~$55.75 before collapsing to the trough of ~$16.51 in July 2026. That June-to‑July swing — a decline of nearly $39 in a single month — is the standout movement of the series.
There is a muted late‑year lift into December (Dec 2025 = ~$37.19) followed by a softer start to the new year (Jan 2026 = ~$31.20). Spring shows mixed momentum: February rebounds to ~$36.20 then March eases to ~$26.90. May and early summer re-accelerate into the June spike, after which a rapid decline closes the window. Overall, the rhythm is less a smooth seasonal cycle and more a series of episodic swings — with pockets of higher acquisition cost clustered around late spring/early summer 2026.
Compared to the global benchmark, E‑commerce cost-per-purchase in All countries available was below the global median in most months, often by several dollars. The lone exception was June 2026, when E‑commerce ran about $55.75 versus the global $42.97 — roughly 30% above the baseline that month. Volatility also differed: month-to-month absolute changes averaged about $7.8 for E‑commerce (≈23% of its mean), versus about $4.8 for the global benchmark (≈10% of its mean), indicating a more volatile pattern for E‑commerce in this dataset.
Understanding Facebook Ads cost-per-purchase benchmarks for E‑commerce across All countries available helps advertisers evaluate cost trends and compare industry ad performance to wider, 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. In the E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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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