Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected 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.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the E-commerce industry, Facebook ad costs can be variable, with peaks during holiday seasons and in competitive product categories. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and 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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