See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Transportation and Logistics lead costs ran cheaper than the market most months, but with sharper swings and a dramatic spring spike. From a low in January to a peak in April, cost per lead surged, then reset quickly into early summer before rebuilding into September. By November, the category sat modestly above the global mark, closing the period higher year over year while the all‑industry benchmark ended lower.
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.
Starting at $29.40 in November 2024 and ending at $33.11 in November 2025, Transportation and Logistics cost per lead rose 12.6% across the period. The category averaged $34.57, ranging from a trough of $21.42 in January to a peak of $58.41 in April. The path between those ends was eventful: a steady lift across Q1 (+173% from January to April), a sharp reset into June (−58% from April to June), a late‑summer build into September (+33% July to September), and a softer October followed by a mild November rebound (+10%).
Volatility was pronounced. Month-to-month absolute movements averaged $9.96 per lead—more than double the global benchmark’s $4.23—driven by large swings such as April to May (−$23.80), September to October (−$16.13), and February to March (+$11.96). The calmest transition came in July to August (+$0.17).
The global, all‑industry benchmark averaged $39.83 over the same months, with a high of $47.62 in September and a low of $28.58 in November. It started at $41.51 and finished at $28.58, a 31% decline—an inverse trajectory to Transportation and Logistics.
Seasonality showed in the category’s rhythm: a Q1 trough (January low at $21.42), a pronounced spring spike peaking in April ($58.41), and a reset through early summer ($24.61 by June). The category then rebuilt through late summer to a secondary high in September ($46.16), softened in October ($30.03), and nudged higher in November ($33.11). The global pattern was steadier: a climb through Q3, an elevated October, then a notable November drop to the period’s low.
This aligns with common dynamics where competition can elevate costs in late Q3 and early Q4, though in this dataset the global benchmark cooled sharply by November while Transportation and Logistics ticked up.
Across all countries, Transportation and Logistics generally ran below market CPLs. The category undercut the global benchmark by 15–40% in many months—January (−40%), February (−23%), June (−40%), August (−21%), and October (−33%). It moved above market in select points: March (+29%), April (+54%), and November (+16%). The gap was narrowest in September (3% below the benchmark) and widest at both ends—a deep discount in January/June (−40%) and a premium in April (+54%).
Trend lines diverged: the global benchmark eased 31% from November to November, while Transportation and Logistics rose 13%, reflecting both category‑specific pressure in the spring and a stronger finish into late Q4.
In sum, Facebook Ads benchmarks for cost per lead in Transportation and Logistics across all countries show below‑market costs on average ($34.57 vs. $39.83), but with materially higher month‑to‑month volatility and standout spikes in March–April and September. Understanding cost‑per‑lead dynamics for the Transportation and Logistics industry across all countries helps teams contextualize country‑specific ad costs, compare category performance to global patterns, and track CPL trends against the all‑industry baseline.
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.
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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.
A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.
Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.
Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.
Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.
If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.
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