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

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all countries, E-commerce Cost per Purchase (CPP) ran consistently leaner than the global, all-industry benchmark, but with sharper swings and a pronounced second-half cooldown. The year opened with a classic December cost surge, eased into January, then climbed again to an April peak before slipping steadily through October to the period low. The story is one of two crests—holiday and spring—followed by a six‑month slide that left E-commerce CPP materially below the market in late Q3 and early Q4.

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 CPP started at $44.08 in November, jumped to $52.77 in December, cooled to $45.57 in January, and rose again to a cycle high of $53.77 in April. From that April peak, CPP eased each month to $41.59 in October—the period low—marking a 23% retreat from peak to trough and a 6% decline from the November starting point.

Over the 12-month window, E-commerce CPP averaged $46.78, spanning a $12.19 range ($41.59–$53.77). Month-to-month volatility averaged $3.73, with the sharpest movements bookending the holiday peak: +$8.69 from November to December, then −$7.20 into January. The late-year descent was smoother, with small, steady steps downward (−$0.25 from July to August; −$0.47 from September to October).

The global benchmark averaged a higher $49.33, with a narrower $11.23 range and gentler month-to-month variability (average move: $2.58). Its high landed in February ($53.84), with a notable August rebound ($50.45) before an October soft patch ($43.33).

Seasonal and monthly dynamics

Seasonality is clear. December brought elevated costs for E-commerce across all countries, followed by a January reset. A spring run-up culminated in April—the period’s high—before CPP drifted lower across Q3 into October. The six-month stretch from April to October was notably consistent: every month ticked down, with only minor month-to-month deviations.

The global benchmark traced a different rhythm. It climbed through early Q1, leveled in late Q1 and Q2, rebounded in August, and then slid into October. The August divergence is striking: while the global all-industry average lifted back to $50.45, E-commerce across all countries held at a much lower $43.61, reinforcing a softer demand-cost environment for purchase conversions in E-commerce during late summer.

Country vs. Global

Relative to the global benchmark, E-commerce CPP ran about 5% lower on average ($46.78 vs. $49.33). E-commerce briefly priced above market in November (+3%), December (+5%), and April (+4%), but trailed in all other months—especially in late Q3. The gap was narrowest in the mid-to-high single digits (3–4%) during November, May, June, and October, and widest in August–September, when E-commerce was 13–14% below the global all-industry level.

Trend lines also diverged. The global benchmark ended roughly flat to slightly higher versus November (+2%), while E-commerce across all countries finished lower (−6% from November to October) and showed greater variability (average monthly move $3.73 vs. $2.58 globally).

Closing

This Facebook Ads benchmarks review focuses on Cost Per Purchase for E-commerce across all countries. While CPC trends, CPM analysis, and CTR performance add context to country-specific ad costs, the CPP lens shows E-commerce running below the global all-industry market on average, with pronounced December and April highs and a prolonged, orderly decline into October. Understanding Cost Per Purchase benchmarks for E-commerce across all countries helps advertisers compare industry ad performance to global patterns over the past year.

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.