Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks

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

Cost Per Purchase

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all industries and all countries, Facebook Ads Cost Per Purchase (CPP) moved through a clear seasonal arc over the last 12 months: a holiday-fueled run-up, a Q1 peak, and a mid-year easing before a sharp slide into October. The global median CPP averaged $49.33, ranging from a low of $42.61 in November to a high of $53.84 in February. Month-to-month volatility averaged $2.58, with the biggest swings landing in December (+$7.43 from November) and October (−$5.66 from September). 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 all industries in all countries compared to the global benchmark.

The story in the data

The 12-month window opens in November at $42.61, then jumps 17% to $50.04 in December. Momentum carries into Q1: January prints $52.12 and February peaks at $53.84, up 26% from November’s trough. From that high, CPP eases but stays elevated through spring—$52.47 in March, $51.61 in April, and $51.27 in May—before a sharper correction into early summer at $48.12 in June and $47.15 in July (down 12% from the February peak).

A brief rebound arrives in August at $50.45 (+7% vs. July), softening to $48.99 in September, then breaking lower in October to $43.33, the second-lowest month in the period and 12% under the annual average. Overall, the range spans $11.23 between the high and low, roughly 23% of the full-year average—enough to feel meaningful without being erratic. End-to-end, the series edges up 1.7% from November to October, a nearly flat net change after a year of pronounced seasonality.

Seasonal and monthly dynamics

Seasonality is pronounced. Q4 is mixed: a subdued November, a pronounced December surge, and then an October retrenchment as budgets and auction dynamics reset ahead of the holiday stretch. Q1 remains the high-water mark, with the January–February–March average at approximately $52.81—about 7% above the full-year median. Spring softens gradually, and early summer offers the lowest sustained period, with June–July–August averaging $48.57. August brings a modest uptick, often coinciding with late-summer retail moments, before a September dip and October low re-establish the year’s floor.

Country vs. Global

Because this view aggregates all industries across all countries, it is the global benchmark. The gap to “global” is, by definition, zero in every month, and volatility perfectly mirrors the worldwide pattern. For marketers interpreting country-specific ad costs or industry ad performance, this line represents the reference pace against which local or vertical deviations can be measured—steady in average terms ($49.33), peaking in February ($53.84), and softest in November–October ($42.61–$43.33).

Closing

This global read of Facebook Ads benchmarks for Cost Per Purchase shows a clear pattern: holiday lift, Q1 peak, mid-year relief, and an October pullback—all within a moderate volatility band. Understanding Facebook Ads Cost Per Purchase trends for all industries across all countries helps teams situate country-specific ad costs and industry ad performance within the broader CPM analysis, CPC trends, and CTR performance context, and compare outcomes to global patterns.

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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.