See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
Across a $3B worth of advertising data, Cost Per Lead (CPL) trends show a clear U.S. premium and a bumpy spring swing. For All industries in the United States, CPL ran higher than the global benchmark for every month in the 13-month window, with pronounced momentum into early 2026 and a sharp pullback by June 2026. This analysis explores ad performance trends for All industries in the United States compared to the global benchmark.
U.S. CPLs averaged about $48.6 over the period (June 2025 → June 2026), versus a global baseline average near $45.6 — roughly a 6.5% premium in the United States. The U.S. high was $55.45 in February 2026 and the low was $36.45 in June 2026, an absolute range of about $19. The series began at $47.06 (June 2025) and finished at $36.45 (June 2026), a calendar-year decline of roughly 22.6%. Monthly volatility (population standard deviation) measured about $5.1 in the U.S., versus about $4.6 for the global baseline — indicating U.S. CPLs were moderately more volatile.
Notable month-by-month moves: a steady climb from mid‑2025 into a winter/early‑Q1 peak (peaking at +$55.45 in Feb 2026), followed by a pronounced fall in spring — March to April saw a drop of ~21% in the U.S. (from ~$52.72 to ~$41.63). April to June included another steep swing: a rebound into May (+8%) then a large decline into June (May → June −19%).
Seasonality shows heavier CPLs across late Q3 into Q1: October–February carried above-average levels, with December and February standing out as higher-cost months. The spring months (April–June 2026) delivered the most dramatic rhythm shift — a rapid decline in April after Q1 highs, a partial bounce in May, then a deeper trough by June. These swings suggest marked month-to-month cadence in lead costs rather than a flat seasonal curve.
Across the year, the U.S. pattern tracked the global rhythm but exaggerated the moves: both peaks and troughs align with the baseline, yet the U.S. stretches those moves higher and lower at different points in the cycle.
The United States ran above market in every month — dollar gaps ranged from roughly $0.7 in April to about $5.7 in December. In percentage terms the U.S. premium narrowed to around 1.8% in April and widened to roughly 12.6% in December. Both markets peaked near February 2026 (U.S. $55.45 vs global $53.35) and reached lows in June 2026 (U.S. $36.45 vs global $35.15). Overall, the global baseline fell ~18.6% from June 2025 to June 2026, while the United States fell a bit further at ~22.6% — and showed about 12% more month-to-month volatility.
Understanding Cost Per Lead (CPL) benchmarks and country-specific ad costs for All industries in the United States provides a data-grounded view of how lead pricing moved against global trends and where the U.S. diverged in magnitude and volatility. Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance and broader industry ad performance all intersect with these CPL dynamics for the United States.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.
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.
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Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)
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.
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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