Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Transportation and Logistics

Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.

Cost Per Purchase for Transportation and Logistics

October 2025 - September 2026

Insights

Benchmark observations based on the selected data

Introduction

Transportation and Logistics cost-per-purchase moved from modestly below the global baseline for much of the year to an extreme spike in July 2026 — a story of subdued monthly costs punctuated by a single, outsized outlier. Seasonally, the dataset shows softer costs in late Q4 and multiple midwinter/midspring surges, with unusually high volatility and one clear standout month that shifts the annual picture.

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 Transportation and Logistics in All countries available compared to the global benchmark.

The story in the data

Across 13 months the Transportation and Logistics cost-per-purchase averaged about $48.6, compared with a global benchmark average near $47.6 — roughly a 2% premium. The industry series began at $25.45 in July 2025 and finished at $193.73 in July 2026, a rise of roughly +660% from start to finish driven almost entirely by the July 2026 jump. Monthly lows sat near $12.96 (December 2025) and highs hit $193.73 (July 2026). By contrast the global baseline ranged narrowly from about $19.69 to $55.98, with a mean of $47.6.

Transportation and Logistics was below the global benchmark in 8 of 13 months, and above it in 5 months. Typical mid-year months (February, April, October) show episodic lifts — February 2026 at ~$57 and October 2025 at ~$79 — while late 2025 (November–December) produced the year’s lowest cost-per-purchase (~$17.6 then $13.0). Volatility in the Transportation and Logistics series is pronounced: the standard deviation is roughly $46 versus about $8.6 for the global baseline, driven largely by the July 2026 outlier.

Seasonal and monthly dynamics

Seasonally there are visible troughs around late Q4 (December 2025 at $13) and recurring mid-spring bumps (March–April and February). Peaks appear in October 2025 ($79), February 2026 ($57), and a dramatic jump in July 2026 ($194). The December trough contrasts with a steadier global December (~$49.8), suggesting stronger seasonal compression for this industry in that month. The July 2026 spike reverses the year’s pattern and produces acute month-to-month disruption.

Country vs. Global

Viewed against the global benchmark, Transportation and Logistics exhibited wider swings and a wider range. The gap between industry and global baseline varied from about −74% (December 2025: $13 vs $49.8) to +884% (July 2026: $194 vs $19.7). Where the global trend was relatively stable (mean ~ $47.6, stdev ~$8.6), Transportation and Logistics was more volatile (mean ~ $48.6, stdev ~$46), meaning the industry frequently tracked below the global level but occasionally shot well above it.

Understanding Facebook Ads cost-per-purchase benchmarks, CPC trends, CPM analysis, and CTR performance within industry ad performance and country-specific ad costs contexts — especially for Transportation and Logistics across All countries available — provides a clear data portrait of volatility, seasonal rhythm, and the scale of divergence from the global benchmark.

About this data

Facebook advertising cost benchmarks

Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Transportation and Logistics industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.

Why we use median instead of average

A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.

Factors that affect 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.)

The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.

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The data behind the benchmarks

The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.

The dataset updates as new ad data is available.

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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and 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.