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 13 months is a climb-then-cool pattern: a pronounced run-up into early 2025, a mid-year easing, and a sharper-than-usual pullback into late Q4. Median cost per purchase averaged 49.74 across all industries and all countries, peaking at 54.53 in February before sliding to a low of 42.06 by November. Month-to-month volatility averaged 2.57, with standout swings in December (+7.44) and November (−6.08). 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 across all countries compared to the global benchmark.

Section 1: The story in the data

The series opened at 43.10 in November 2024 and closed at 42.06 in November 2025, a modest 2.4% decline year over year. The first three months showed clear lift: November to December jumped 17% to 50.54, followed by steady gains to the February high of 54.53 (+26.5% from November). From there, costs cooled: March slipped to 52.97, April to 52.03, and June to 49.21. July marked a local trough at 47.79 before an August rebound to 51.24 (+7.2% month over month). The final stretch softened: September held at 50.72, October eased to 48.14, and November fell sharply to the series low of 42.06 (−12.6% vs. October).

Across the period, the range spanned 12.46 points, or roughly 25% of the average, signaling meaningful but manageable variability. H1 2025 (January–June) averaged 52.17, while the July–November run averaged 47.99, an 8% step-down that framed the back half of the year as more efficient for purchases.

Section 2: Seasonal and monthly dynamics

The shape of the year followed a familiar cadence with some late-year twists. A strong late Q4 to early Q1 climb set the tone, culminating in a February high. Spring introduced a consistent easing that continued into early summer, interrupted by an August bounce. The final months typically tighten as competition rises; however, this series showed a counter-move with a notable October dip and an even steeper November decline, marking the lowest point of the year.

Section 3: Country vs. Global

Because this view aggregates all industries across all countries, it represents the global benchmark itself. As a result, the selected series is identical to the baseline: the gap versus global remained 0% each month. The global trend line rose into February, then retraced steadily through mid-year and accelerated downward in October–November. From the February high to November, cost per purchase declined 22.9%, underscoring how the back half of 2025 diverged from the early-year highs.

Closing

This global view of Facebook Ads benchmarks for cost per purchase—covering all industries across all countries—highlights a year defined by an early peak, mid-year stabilization, and a pronounced late-year pullback. Understanding cost-per-purchase dynamics within broader CPC trends, CPM analysis, and CTR performance provides a clear frame for comparing industry ad performance and country-specific ad costs 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.