Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Transportation and Logistics

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

Cost Per Purchase for Transportation and Logistics

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Transportation and Logistics and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Overall level: Transportation and Logistics runs below market on average (34.88 vs 47.02), about 25.8% lower than the global baseline across the same months (Nov 2024–Sep 2025).
  • Volatility: Extremely high. Average month-to-month change in the selected data is 34.18, over 10x the baseline’s 3.23. Large spikes occur in December and February; pronounced dips appear in June and August.
  • Seasonal patterns: In line with broader seasonality, costs peak around late Q4–Q1 (Dec–Feb). The category then softens sharply into summer, hitting a low in August before a slight uptick in September.
  • Relative positioning by month: Above market in only 3 of 11 months (Dec, Feb, May); below market in the remaining months—especially deep discounts in Aug (-91% vs baseline) and Sep (-80%).

Selected data trends (Transportation and Logistics, all countries)

  • Average: 34.88
  • High: 71.75 in February 2025
  • Low: 4.08 in August 2025
  • Range: 67.67
  • First-to-last change: -69.9% from November 2024 (21.53) to September 2025 (6.47)
  • Volatility: Average absolute month-to-month change of 34.18
  • Notable spikes/dips:
  • Spikes: +47.63 from November to December; +49.12 from January to February
  • Dips:
  • -48.16 from May to June
  • -33.88 from July to August
  • Pattern: Elevated costs in December (69.16) and February (71.75), with sharp reversals in the months immediately after. A deep trough emerges in August (4.08), with only a modest recovery in September (6.47).

Comparison to the global baseline

  • Baseline average (Nov 2024–Sep 2025): 47.02
  • Baseline high/low: 53.89 in February 2025; 32.29 in September 2025
  • Baseline first-to-last change: -25.3% from November to September
  • Relative performance by month:
  • Above market: December (+34% vs baseline), February (+33%), May (+24%)
  • Near parity: April (-2.6% vs baseline)
  • Below market: All other months, led by August (-91%), September (-80%), June (-68%), March (-58%), and January (-57%)
  • Stability: The baseline is comparatively steady (avg MoM change 3.23), while Transportation and Logistics shows frequent, large oscillations.

Seasonal signals to note

  • The baseline confirms typical seasonal pressure: costs generally rise into December and remain elevated through Q1, then soften in summer and dip in September.
  • Transportation and Logistics tracks this directionally (highs in Dec–Feb; lows in summer) but with much more amplitude—suggesting heightened sensitivity to seasonal demand and pacing within the category.

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