Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks in United States

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

Cost Per Purchase in United States

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

The headline in the data: Cost per purchase in the United States sat consistently above the global Facebook Ads benchmark through most of 2025, then softened into Q4 and reset sharply lower in January 2026. Across all industries, the U.S. median CPP started the year elevated, eased through midyear, faded in Q4, and then dropped by roughly half in the new year—mirroring, but slightly outpacing, the global pattern. Volatility was modest for most of 2025, punctuated by a pronounced November slide and the January step-down. 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 the United States compared to the global benchmark.

The story in the data

  • Starting point to ending point: The United States opened at $56.94 in January 2025 and landed at $26.23 in January 2026, a 54% decline. Globally, CPP moved from $53.15 to $25.15 (−53%).
  • Highs, lows, average: The U.S. peak came in February 2025 at $58.39; the low was January 2026 at $26.23. The 13‑month U.S. average was $51.37 versus the global $49.61—about a 3.5% premium.
  • Range and volatility: U.S. CPP spanned a 32‑point range over the period (58.39 to 26.23), slightly wider than the global 29.6‑point range. Month‑to‑month swings averaged $3.66 in the U.S. ($3.33 globally), but that includes the January reset. Looking at 2025 alone, average monthly movement was $2.03 in the U.S. versus $1.59 globally—somewhat choppier than the market.
  • Key movements: From February’s high, CPP eased into midyear (June at $53.78), dipped to a local low in July ($51.06), then rebuilt into September ($54.95). Q4 opened at $53.84 in October before a sharp drop to $47.20 in November and a mild December rebound ($47.79). The biggest single‑month move was December to January (−$21.56).

Seasonal and monthly dynamics

Typical seasonal contours are visible. Q1 2025 was the richest period in the United States (average $56.81), reflecting strong demand and competition. Q2 and Q3 moderated (averages $54.11 and $53.33), with July marking the softest midyear month before a late‑summer lift. Q4 costs softened as holiday competition met conversion pressure: October held firm, but November saw a decisive decline, with December stabilizing just below $48. The new‑year reset was clear in January 2026 at $26.23, aligning with broader market normalization. This cadence fits common Facebook Ads benchmarks: firmer engagement costs early in the year, a midyear plateau, a Q4 squeeze, and an early‑Q1 reset.

United States vs. Global

The United States carried a modest CPP premium throughout 2025 that narrowed into Q4:

  • 2025 averages: U.S. $53.47 vs. global $51.65 (+3.5%).
  • Quarterly spread: +6% in Q1, +4% in Q2, +3% in Q3, and under +1% in Q4.
  • Monthly gap: The widest premium appeared early (January +7%, February +7%, June +6%). The gap narrowed to near parity in November (−0.2% below market) and December (+0.4% above).
  • Trend shape: From January to December 2025, U.S. CPP fell 16% versus a 10% global decline, then both markets reset more than 50% lower in January 2026. The U.S. pattern was more volatile than the global baseline but broadly synchronized.

Closing

Understanding Facebook Ads cost-per-purchase benchmarks across all industries in the United States—how they trended through 2025, softened in Q4, and reset in early 2026—helps frame country-specific ad costs and industry ad performance in context with the global market. This CPP view complements broader CPC trends, CPM analysis, and CTR performance benchmarks for a complete picture of U.S. versus global Facebook Ads benchmarks.

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. For campaigns targeting United States, advertisers often face higher costs due to high competition and purchasing power. 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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.