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
The main story: cost per lead (CPL) in the United States ran consistently above the global benchmark across July 2025–July 2026, with a strong early-year peak and a dramatic mid-year decline that left July 2026 near half of the prior-year level. This pattern shows clear momentum — a winter peak, spring correction, a volatile early summer, and a steep drop into late July.
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 All industries in United States compared to the global benchmark.
At the start (July 2025) median CPL in the United States was about $46.53 versus a global baseline of $42.79. The US series peaked in February 2026 at roughly $55.23, then fell through spring and early summer to end at $23.45 in July 2026. Across the 13-month window the US median CPL averaged about $46.9, compared with a global average near $44.1 — roughly a 6% premium in the United States.
High / low: US high = $55.2 (Feb 2026); US low = $23.45 (Jul 2026). Baseline high = $53.2 (Feb 2026); baseline low = $20.82 (Jul 2026). From July 2025 to July 2026 the US CPL declined by approximately 50% (−49.6%); the global series declined similarly, about −51.4%.
Volatility: the US series moved on average about $4.4 per month (mean absolute monthly change), versus about $4.7 for the global baseline — indicating slightly lower month-to-month swings in the US but several large drops (March→April, May→June, June→July).
Notable monthly swings: March→April saw a ~21% drop (roughly $11), May→June another ~18% fall, and the largest single-month move was June→July (≈ −38%).
Rhythm across the year is clear: CPLs rose into Q1, peaking in February, held elevated through March, then softened sharply in April. A modest mid-year recovery in May gave way to another fall in June and a pronounced trough in July. Q4 (Oct–Dec) was relatively elevated (about $50–$52 US CPL range), consistent with heightened competition late in calendar year, while early Q1 registered the highest median in the window. The spring correction and summer collapse compress the seasonality into a two-phase year: winter peak and summer trough.
The United States ran above the global benchmark every month in this window. The gap ranged from a narrow ~1.5% above the baseline in April to a wide ~12.6% above in December and again in July — an 11-point swing in relative gap size. At peak (Feb), US CPL was about 3.8% higher than the global peak; at trough (Jul) US CPL remained roughly 12.6% above the global trough despite both series hitting multi-month lows. Overall, the global baseline mirrored the US shape (same peak and trough months) but showed marginally larger average monthly moves.
Understanding cost-per-lead benchmarks for All industries in the United States offers a clear picture of how country-specific ad costs moved against global CPL trends across mid-2025 to mid-2026. This comparison helps frame Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance references, country-specific ad costs, and industry ad performance in 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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