See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Transportation and Logistics showed a choppy but telling year for Cost Per Purchase (CPP) across all countries, running slightly below the global benchmark on average but with far sharper month-to-month swings. The headline: a dramatic February spike, a mid-year trough in June, and a subdued rebound into November. While the global baseline drifted lower through the year with modest volatility, Transportation and Logistics moved in jolts, with standout highs and lows compressing the year’s narrative into a few decisive moments.
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 across all countries compared to the global benchmark.
Across nine reported months in 2025, Transportation and Logistics CPP averaged $49.18, versus $51.76 for the global benchmark over the same months. The year opened at $25.76 in January, surged to a peak of $128.44 in February, corrected to $49.00 in March, and then moved unevenly: $55.76 in April, $69.02 in May, collapsing to the low of $19.64 in June, bouncing to $39.28 in July, dipping to $23.33 in August, and settling at $32.35 by November. From the first to the last reported month, CPP rose 26%, but the path was anything but linear.
Movements were outsized. February’s spike was nearly 5x January, followed by a 62% drop in March. May represented a secondary crest (+24% vs. April), before a steep June fall (−72% vs. May). Average absolute month-to-month movement was $37—about 75% of the series’ mean—highlighting pronounced volatility. By contrast, the global benchmark shifted by an average of just $1.77 per month.
Q1 was dominated by the February outlier. Even so, the quarter averaged $67.73 for Transportation and Logistics compared with the global $53.66—temporarily above market. Q2 averaged $48.14, with a May high rolling into a June low, illustrating a sharp mid-year reset. Q3 (July–August) was materially softer at $31.31, far below the global $51.07. The early read on Q4 (November) remained subdued at $32.35. In the broader dataset, the global benchmark typically softens into year-end; that pattern is visible here as well, with the global baseline sliding from $53.25 in January to $47.16 in November and $45.08 in December.
Against the global benchmark, Transportation and Logistics oscillated widely:
The tightest spread came in March–April (within ±7% of global levels), while the widest gaps appeared in February’s surge and the June/August dips. On average, Transportation and Logistics CPP sat about 5% below the global benchmark across the months available. The global trend eased steadily (−15% from January to December), while Transportation and Logistics was choppier yet ended higher than it began over the observed span (+26% from January to November).
Understanding Facebook Ads benchmarks for Cost Per Purchase in Transportation and Logistics across all countries reveals a market that runs close to global averages but with far greater swings—briefly above market in late Q1 and early Q2, then notably softer through late summer and into Q4. These CPP patterns provide context for industry ad performance, complementing broader CPC trends, CPM analysis, CTR performance, and country-specific ad costs observed in the global benchmark.
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.
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.
Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.
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.
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.
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.
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.
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.
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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app