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Facebook Ads Cost Per Lead Benchmarks for Manufacturing

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Cost Per Lead for Manufacturing

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks: Manufacturing vs global baseline

This analysis looks at cost-per-lead (CPL) trends for industry Manufacturing 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: Manufacturing CPL averaged 52.62 across the period, 47% above the global baseline average of 35.80—consistently above market.
  • Volatility: Manufacturing showed high month‑to‑month swings (average absolute change 38.49, or 76.8% MoM), far more volatile than the baseline (4.50, or 12.6% MoM).
  • Highs and lows: Manufacturing peaked at 132.62 (Mar 2025) and fell to 3.81 (Sep 2025), a range of 128.81—about 6x wider than the global range (20.95).
  • Trend direction: From the first to last month, Manufacturing CPL declined 90% (38.45 to 3.81), while the baseline declined 37% (32.88 to 20.63).
  • Seasonality: As typical for Facebook Ads, costs rose into Q4, with a sharp November spike; Q1–Q2 saw elevated but choppy levels, followed by mixed summer behavior and a steep drop in early September.

Manufacturing CPL trend (All countries available)

  • Average: 52.62 across 13 months.
  • High: 132.62 in Mar 2025 (largest monthly jump occurred in Feb–Mar).
  • Low: 3.81 in Sep 2025; other notable dips in Apr 2025 (16.29) and Aug 2025 (23.47).
  • Notable spikes: Nov 2024 (100.05) during Q4 seasonality; Feb 2025 (100.84); Mar 2025 (132.62).
  • Seasonality: Clear Q4 lift—Oct (51.81) rising into Nov (100.05) before cooling in Dec (41.52). Elevated variance continued into Q1–Q2, then a mixed summer pattern with July high (64.02) followed by a sharp August drop (23.47).
  • Volatility: Average absolute month‑to‑month change 38.49 (76.8% on average), reflecting substantial fluctuations in CPL.

Comparison to the global baseline

  • Level vs market: Manufacturing averaged 52.62 vs the global 35.80—about 16.82 higher (+47%). Manufacturing CPL was above the baseline in 8 of 13 months.
  • Highs/lows: Global high was 41.58 (Nov 2024) and low 20.63 (Sep 2025). Manufacturing’s range (128.81) was roughly 6x the global range (20.95), underscoring above‑average volatility.
  • Seasonality alignment: Both series show a Q4 uptick, especially in November. The baseline maintained steadier levels in December, while Manufacturing cooled faster.
  • Trajectory: Global CPL drifted moderately down from late 2024 into 2025 with a late‑summer dip; Manufacturing followed the broader seasonal pattern but with outsized swings and a much sharper decline into September 2025.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Manufacturing 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 Manufacturing 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.