Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for SaaS & Cloud Platforms

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

Cost Per Lead for SaaS & Cloud Platforms

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • SaaS & Cloud Platforms across All countries available averaged a cost per lead of 38.67, about 8% above the global baseline average of 35.80 over the same period.
  • The selected series peaked in June 2025 (71.99) and bottomed in September 2025 (17.46), ending 11.6% lower than it started. The baseline peaked in November 2024 (41.58) and hit a low in September 2025 (20.63), ending 37.3% lower.
  • Volatility was higher in the selected data, with sharp mid‑year increases and a steep late‑summer drop. The baseline moved more steadily, aside from a late‑period dip.
  • Seasonal patterns show a modest Q4 lift (notably November), followed by a pronounced mid‑year surge for SaaS & Cloud Platforms that diverges from the steadier global pattern.

What this analysis covers

This analysis looks at cost per lead trends for industry SaaS & Cloud Platforms 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.

Overview of the selected series (SaaS & Cloud Platforms, All countries available)

  • Average: 38.67 across Sep 2024–Sep 2025.
  • High/Low: Highest in June 2025 at 71.99; lowest in September 2025 at 17.46.
  • Start-to-end change: From 19.73 (Sep 2024) to 17.46 (Sep 2025), down 11.6%.
  • Notable moves:
  • Q4 2024: October rose 30.2% vs September; November added 2.8%; December eased 5.5%.
  • Early 2025: January jumped 44.1% vs December; February added 2.3%; March fell 23.0%.
  • Mid‑year 2025: April spiked 56.0%, May rose 34.3%, and June peaked (+21.3% vs May).
  • Late 2025: July fell 19.5%, August dipped 7.1%, and September dropped 67.6%.
  • Volatility: Marked swings, especially the +56.0% rise from March to April and the −67.6% fall from August to September.

Global baseline for context

  • Average: 35.80.
  • High/Low: Highest in November 2024 at 41.58; lowest in September 2025 at 20.63.
  • Start-to-end change: From 32.88 to 20.63, down 37.3%.
  • Volatility: Generally steadier month to month. The largest increase was +33.6% (Oct→Nov 2024); the largest decrease −44.3% (Aug→Sep 2025).

Comparison to the global benchmark

  • Overall level: The selected series ran 8% above market on average.
  • Month-by-month positioning:
  • Below market: Sep–Dec 2024 (17–40% lower), Feb–Mar 2025 (5–14% lower), and Sep 2025 (15% lower).
  • In line: January 2025 (about 1% above).
  • Above market: April–August 2025, ranging from 14% higher (April) to 88% higher (June).
  • Seasonality: Both series show a Q4 lift with a clear November peak in the baseline and a smaller November bump for SaaS & Cloud Platforms. The selected data diverges with a strong Q2–Q3 surge culminating in June, then a sharp late‑summer correction.

Understanding cost per lead benchmarks on Facebook Ads in industry SaaS & Cloud Platforms 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 SaaS & Cloud Platforms 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.

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.