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

December 2024 - December 2025

Insights

Detailed observation of presented data

Introduction

The global story for Facebook Ads cost per purchase over the past year is a tale of an early-year lift, a mid-year cool-down, and a late-year compression. Median CPP opened at $50.56 in December, climbed to a February high of $54.33, hovered near the $50 mark through early fall, and then fell sharply to $42.67 in November—the lowest point in the series. Volatility was moderate most months, punctuated by a notable August rebound and an unusually steep November drop.

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 worldwide compared to the global benchmark.

The story in the data

Across the 12-month window, median cost per purchase averaged $50.44. The range was wide: a peak of $54.33 in February and a trough of $42.67 in November, a swing of roughly 23% relative to the average. The series began at $50.56 in December and ended at $42.67 in November—down about 16% from the starting point and 21% below the February high.

Month-to-month movement was generally contained, with an average absolute change of about $2.02. Most months shifted by less than $2, though two moves stood out: a +$3.41 climb in August (from $47.77 to $51.18) and a -$6.87 drop in November (from $49.54 to $42.67). Two-thirds of the months tracked at or above the yearly average, yet four months—June ($49.20), July ($47.77), October ($49.54), and November ($42.67)—sat below it. A third of the year clustered tightly around the mean, with December, August, September, and October landing within ±$1 of the $50.44 average.

Seasonal and monthly dynamics

The year opened with firming acquisition costs: January and February rose to the annual peak, a familiar pattern as advertisers reset budgets and demand strengthens. From March through July, CPP eased steadily, bottoming in July before a brief August rebound offered a mid-quarter reset. September and October returned to a stable band around $50. November then broke pattern with a sharp compression to the annual low, contrasting with typical Q4 cost pressures that often push acquisition costs higher.

Country vs. Global

Because this cut reflects all industries across all countries, it mirrors the global benchmark exactly. Levels, momentum, and volatility are identical month by month, with no gap to report. The series therefore serves as the worldwide baseline for Facebook Ads benchmarks: a February high near $54, a long middle stretch around $50, and a pronounced late-year decline to $42.67 in November.

Closing

As a directional reference for performance marketers, this view captures Facebook Ads benchmarks for cost per purchase across all industries worldwide: early-year firmness, mid-year moderation, and a late-year slide, averaging $50.44 with a broad $11.66 peak-to-trough range. Understanding CPP trends alongside broader CPC trends, CPM analysis, and CTR performance provides context for country-specific ad costs and global industry ad performance 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.