Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Finance

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

Cost Per Lead for Finance

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks: Finance, All countries available

This analysis looks at cost-per-lead (CPL) trends for industry Finance and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Key takeaways

  • Overall level: Finance CPL averages $33.26 across the period, 7% below the global benchmark average of $35.80 (above market in 6 of 13 months, below in 7).
  • Volatility: Finance shows high variability with an average month-over-month absolute change of 56.4% versus 12.6% globally.
  • Range: Finance CPL ranges from $11.60 (Sep 2025) to $57.12 (Nov 2024), a $45.51 spread; the global range is narrower at $20.63–$41.58.
  • Trend: From Sep 2024 to Sep 2025, Finance CPL falls 56.8%, compared to a 37.3% decline in the global series.
  • Seasonality: Both series spike in Q4, especially November, and soften late summer.

Overview of Finance CPL (selected data)

  • Average: $33.26 across 13 months.
  • Highs and lows:
  • Peak: $57.12 in November 2024.
  • Trough: $11.60 in September 2025.
  • Range: $45.51.
  • Direction of travel: From $26.89 (Sep 2024) to $11.60 (Sep 2025), down 56.8%.
  • Notable spikes/dips:
  • Oct → Nov 2024: CPL more than tripled (+314%).
  • Jul → Aug 2025: -53.4%; Aug → Sep 2025: -44.3%.
  • Additional large moves: Sep → Oct 2024 (-48.7%), Jan → Feb 2025 (-45.1%), Mar → Apr 2025 (+46.9%), Apr → May 2025 (+46.1%).

Comparison with the global benchmark

  • Average level: Finance ($33.26) sits below the global average ($35.80), indicating below-market CPL overall.
  • Highs and lows:
  • Finance peak ($57.12, Nov 2024) exceeds the global peak ($41.58), while its trough ($11.60, Sep 2025) is deeper than the global trough ($20.63).
  • This wider range underscores greater variability in Finance vs. the market.
  • Monthly positioning:
  • Above market: Nov–Dec 2024 and Jan, May–Jul 2025 (notably Nov +37% vs. global).
  • Below market: Sep–Oct 2024, Feb–Apr 2025, and Aug–Sep 2025 (e.g., Oct 2024 at -56% vs. global).
  • Volatility:
  • Finance average MoM absolute change: 56.4%.
  • Global average MoM absolute change: 12.6%.
  • Finance is substantially more volatile than the overall market.

Seasonality and timing effects

  • Q4 uplift: Both Finance and the global series peak in November, aligning with holiday-period competition and higher auction pressure.
  • Late-summer softness: Both series drop into August–September, with Finance showing a sharper pullback (Finance Sep 2025 reaches the series low).

Understanding cost-per-lead benchmarks on Facebook Ads in industry Finance 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. In the Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.