Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for E-commerce

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for E-commerce

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

Across all countries, E‑commerce cost per purchase ran consistently below the global Facebook Ads benchmark for most of the year, with one brief push above market in April before a steady cool‑down into Q4. The rhythm was clear: an early lift, a mid‑year slide, a modest November rebound, and then a sharp reset at the start of 2026. Volatility was generally higher than the market, especially around the calendar turn.

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 across all countries compared to the global benchmark.

The story in the data

E‑commerce cost per purchase opened 2025 at $44.91 and closed December at $41.94, a 6.6% decline across the year. The period’s high came in April at $53.14, followed by a long slide to a 2025 low of $41.73 in October. A small November bounce to $43.48 gave way to a softer December, and then a sharp step‑down to $21.14 in January 2026. Averaged across the full window, E‑commerce cost per purchase landed at $43.59.

Month‑to‑month movement averaged $4.11, though most of that turbulence came from the December‑to‑January reset; looking only at 2025, average monthly change was a milder $2.59. The early‑year lift was pronounced (+18% from January to April), followed by a 22% drawdown from April’s high to October’s trough. The single largest monthly move was the −$20.79 plunge into January 2026.

By comparison, the global benchmark (all industries, all countries) averaged $49.61 over the same period, peaking at $54.77 in February 2025 and reaching a low of $25.15 in January 2026. Global month‑to‑month movement averaged $3.33 across the full period and $1.59 within 2025 alone.

Seasonal and monthly dynamics

The first half of 2025 was the stronger stretch for E‑commerce: Q1 averaged $47.48 and Q2 $48.83, anchored by April’s high. The back half softened notably: Q3 averaged $43.15 and Q4 $42.38, with only a brief uptick in November before easing again in December. Performance typically softens through Q4 as competition rises, with engagement or efficiency commonly rebounding in early Q1; in this dataset, cost per purchase actually eased through late Q3 and Q4, then reset sharply lower at the start of 2026.

The global benchmark followed a similar arc—elevated in the first half, softer in Q4—though with smaller month‑to‑month swings through most of 2025.

Country vs. Global

Relative to the global benchmark, E‑commerce across all countries was lower on cost per purchase almost every month. On a 2025 average basis, E‑commerce was $45.46 vs. the market’s $51.65, about 12% below. The narrowest gap appeared in April, when E‑commerce briefly ran 1–2% above the market; the widest gap appeared in September–October, 20–21% below. Trendwise, the market declined roughly 10% from January to December 2025, while E‑commerce eased by about 7%, but with more volatility (average monthly shift of $2.59 vs. the market’s $1.59 in 2025). Both series saw a pronounced step‑down entering January 2026 (−50% to −53%), reinforcing the broader seasonal reset in cost per purchase.

Closing

These Facebook Ads benchmarks show that cost per purchase for E‑commerce across all countries trailed the global market for most of the year, with the largest gap in late Q3–Q4 and a decisive reset at the start of 2026. Understanding cost‑per‑purchase dynamics within industry ad performance helps frame country‑specific ad costs alongside broader CPC trends, CPM analysis, and CTR performance.

Understanding the Data

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.

Why we use median instead of average

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.