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Facebook Ads Cost Per Purchase Benchmarks for Transportation and Logistics in United States

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Cost Per Purchase for Transportation and Logistics in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Across the period, Transportation and Logistics in the United States shows a lower average cost-per-purchase than the global baseline (37.8 vs 47.8), about 21% below market.
  • Pronounced Q4 seasonality: sharp run-up in November–December, followed by a steep correction in January.
  • High volatility in the selected series (average month-to-month shift of ~29.3, or ~78% of its mean), versus a much steadier global trend (~3.25 average MoM change).
  • Costs finished far below where they started (down ~69% from October 2024 to September 2025), while the global series declined ~31% over the same span.

Scope and context

This analysis looks at cost-per-purchase trends for industry Transportation and Logistics and target country United States compared to the global trend. It summarizes monthly medians and directional benchmarks for Facebook Ads.

United States, Transportation and Logistics: performance highlights

  • Average: 37.8
  • High: 86.79 (December 2024)
  • Low: 6.47 (September 2025)
  • Range: 80.32
  • First-to-last change: -69% (21.02 in October 2024 to 6.47 in September 2025)
  • Volatility: average absolute month-to-month change of 29.3
  • Notable spikes/dips:
  • Surge in Q4: +43.0 from October to November; +22.8 from November to December
  • Sharp reset: -60.0 from December to January
  • Rebound: +51.3 from May to June
  • Lowest point: September at 6.47

Seasonality is clear: costs climb into late Q4, consistent with holiday demand pressure, then normalize in January. Mid-year oscillations are large, with alternating spikes and pullbacks.

Global baseline: directional context

  • Average: 47.8
  • High: 53.89 (February 2025)
  • Low: 32.29 (September 2025)
  • Range: 21.60
  • First-to-last change: -31%
  • Volatility: average absolute month-to-month change of 3.25

The global trend is relatively stable throughout Q1–Q3, with a moderate peak in February and a late drop in September.

Relative positioning vs. global

  • Overall: United States Transportation and Logistics is below market on average (-21% vs global).
  • Seasonal comparison:
  • Q4 average: 57.28 vs 47.13 globally (+21% above market in Q4), indicating stronger year-end inflation than the global benchmark.
  • Q1 average: 42.47 vs 52.94 globally (below market).
  • Q2 average: 32.63 vs 49.83 globally (below market).
  • Q3 average: 18.73 vs 41.39 globally (well below market).
  • Month-by-month relative positioning: below market in 8 of 12 months; above market in November, December, March, and June.

What this means for benchmarking

The United States Transportation and Logistics segment exhibits sharper seasonal peaks and deeper troughs than the global trend: an above-market surge in late Q4, followed by consistently below-average costs for most of the following year. The series is markedly more volatile than the global benchmark, with large swings centering on year-end and mid-year.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Transportation and Logistics 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 Transportation and Logistics 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.

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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.