Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks

See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type

Cost Per Lead

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per lead trends for industry All industries available and target country All countries available compared to the global trend; the two series are identical, so performance is in line with overall benchmarks.
  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Average cost per lead across Oct 2024–Sep 2025: 36.04; median of monthly medians: 38.47. High in November (41.58), low in September (20.63), a range of 20.95.
  • Month-to-month volatility is moderate overall (average absolute change 4.75), with a notable Q4 lift and a sharp drop in September.
  • From the first to the last month, cost per lead decreased by 33.7%.

Overview of the selected trend

The selected time series for Facebook Ads cost per lead (All industries, All countries) shows clear seasonality and stable mid-year costs:

  • Averages and distribution:
  • Average: 36.04 across 12 months
  • Median (of monthly medians): 38.47
  • Standard deviation: ~5.5
  • Range: 20.95 (low 20.63 in Sep; high 41.58 in Nov)
  • Highs and lows:
  • Peak in November at 41.58 following a strong Q4 uptick
  • Trough in September at 20.63, the only month materially below the mid-year plateau
  • Volatility and month-to-month moves:
  • Average absolute month-to-month change: 4.75
  • Largest increase: +10.45 from October to November
  • Largest decline: -16.40 from August to September
  • Overall change:
  • From October 2024 (31.12) to September 2025 (20.63), costs fell 33.7%

Seasonality and monthly patterns

  • Q4 lift: Costs rose sharply from October (31.12) to November (41.58) and remained elevated in December (39.63), consistent with higher demand periods around peak retail seasons.
  • Early-year normalization: January dipped to 35.54, with a brief rebound in February (38.86) and another pullback in March (32.84).
  • Mid-year stability: April through August mostly hovered between 37–40, indicating a steady “summer plateau.”
  • September reset: A pronounced dip to 20.63 marks the year’s low, standing out from the otherwise stable summer trend.

Comparison to the global baseline

  • Level and direction: The selected series is identical to the global baseline in every month—no gap, fully in line with overall trends.
  • Volatility: Month-to-month variability mirrors the market exactly, including the Q4 lift and the September drop.
  • Relative positioning: At all points, the selected series is neither above market nor below average; it tracks the global benchmark precisely.

Understanding cost per lead benchmarks on Facebook Ads in industry All industries available and All countries available helps advertisers make more efficient budget and creative choices.

Understanding the Data

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. 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.

Why we use median instead of average

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.

Key Factors Affecting 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.)

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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The data behind the benchmarks

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.

What is considered a good cost per lead on Facebook in 2025?

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.

Why is my CPL higher than industry averages?

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.

Does campaign objective impact CPL?

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.

How can I generate leads at a lower cost without hurting lead quality?

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.

Should I optimize for leads or conversions if my goal is pipeline growth?

If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.