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Facebook Ads Cost Per Lead Benchmarks for Education

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Cost Per Lead for Education

January 2025 - January 2026

Insights

Detailed observation of presented data

Education CPL vs. the market: the headline

Education lead costs ran well below the global benchmark and moved with a clearer seasonal rhythm. From a December 2024 starting point of $27.63, Education’s median Cost Per Lead eased to a March low, then climbed through late summer, softened in November, and finished 2025 with a December rebound to $22.67. Across the same period, the all-industry benchmark was consistently higher, peaking into early Q4 before an unusually sharp December drop.

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 Education across all countries compared to the global benchmark.

The story in the data

  • Education CPL averaged $19.88 across the 13-month window, ranging from a low of $13.83 in March to a high of $27.63 in December 2024.
  • The series opened at $27.63 (Dec ’24) and closed at $22.67 (Dec ’25), an 18% YoY decline.
  • Notable moves: a sharp January reset (−$12.61 vs. December), a strong May jump (+$7.40 vs. April), a November dip (−$5.15 vs. October), and a December rebound (+$4.39 vs. November).
  • Average month-to-month swing was $4.10, implying a relative volatility of roughly 21% versus the category’s average CPL.

For context, the global benchmark averaged $40.06 over the same months, with a high of $48.41 in October and a low of $32.53 in December 2025. Its average monthly swing was $3.91.

Seasonal and monthly dynamics

Education showed a classic first-half softness followed by a late-summer lift:

  • Q1 2025 averaged $15.44, troughing in March ($13.83).
  • Q2 recovered to an $18.32 average, with May as a standout.
  • Q3 rose further to $21.71, led by September ($23.62).
  • Q4 steadied at $21.46: October near the annual high ($23.43), a November pullback ($18.28), then a December recovery ($22.67).

This rhythm aligns with broader seasonality: performance typically softens early in the year, strengthens into late Q3/early Q4, and faces mixed pressures in the holiday period. Unlike the broader market’s pronounced December drop, Education held firmer into year-end.

Education vs. Global Benchmark

  • Level: Education CPL averaged about 50% below the all-industry benchmark ($19.88 vs. $40.06).
  • Gap: The spread was widest in November (about 60% below market) and narrowest in December (roughly 28–30% below). For most months, Education trailed the benchmark by 40–60%.
  • Momentum: From the March low to the autumn high, Education CPL climbed roughly 70%, a stronger climb rate than the broader market’s steady rise into Q3/Q4.
  • Volatility: In dollar terms, Education ($4.10 average MoM change) was slightly more choppy than the benchmark ($3.91). Relative to its lower base, Education’s proportional variability was about double.

Overall, these Facebook Ads benchmarks show Education CPL trends across all countries staying materially below the global average, with a clear mid-year lift, a brief November soft spot, and a steadier December than the market at large. Understanding Cost Per Lead benchmarks for the Education industry across all countries helps marketers interpret country-specific ad costs, CPL trends, and how Education’s Facebook Ads performance compares to global patterns.

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 Education industry, Facebook ad costs can be moderate, with higher costs for professional and specialized courses. 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.