Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Media in United States

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

Cost Per Purchase for Media in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Summary and key takeaways

This analysis looks at cost-per-purchase trends for industry Media and target country United States compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Across the past 12 months, Media in the United States is consistently below market on cost-per-purchase, averaging 56% lower than the global baseline.
  • Seasonal effects are visible globally with a Q4 lift into December–February, while the United States series shows a November bump but dips in December, then peaks in February.
  • Volatility is materially higher in the United States series than globally, with a sharp dip in September.

What the selected trend shows

  • Average: 20.86 across the period.
  • High and low: Highest in February (28.99); lowest in September (2.30).
  • Range: 26.69 (from 2.30 to 28.99).
  • First-to-last change: Down 89.9% from October (22.69) to September (2.30).
  • Volatility: Average absolute month-to-month change of 21.6%, skewed by an 87.3% drop in September. Excluding that month, swings are in the mid-teens.
  • Notable moves:
  • November rose 13.4% vs October.
  • December fell 23.2% vs November.
  • February peaked at 28.99 after a 24.2% rise vs January.
  • September marked the steepest decline (-87.3% vs August).

How it compares to the global baseline

  • Baseline average: 47.82, with values ranging from 32.29 (September) to 53.89 (February).
  • Relative level: United States Media sits below average every month, between 40% (November) and 93% (September) lower than the global benchmark.
  • First-to-last change: Baseline declined 30.8% from October to September, far less than the United States series (-89.9%).
  • Volatility: Baseline month-to-month absolute change averaged 7.0%, roughly one-third of the United States’ volatility.
  • Seasonal pattern: Baseline shows the classic Q4 lift, with a 19.3% rise from November to December and a high in February. The United States series shows a November lift, a December dip, then a February high—partly aligned but more variable.

Seasonal patterns and monthly highlights

  • Q4 and early Q1: Globally, costs typically increase in Q4 around holiday periods and remain elevated into January–February. The United States series partly mirrors this with a February high but diverges with a softer December.
  • Late summer to early fall: Both series drop into September, more moderately in the baseline (-29.3%) and sharply in the United States (-87.3%).

Bottom line for benchmarking

Media in the United States shows materially lower cost-per-purchase than the global baseline on Facebook Ads, but with higher month-to-month variability and a pronounced September dip. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Media and United States helps advertisers make more efficient budget and creative choices.

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 Media industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.