Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Consumer Goods

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

Cost Per Lead for Consumer Goods

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks: Consumer Goods vs. global baseline

This analysis looks at cost-per-lead trends for industry Consumer Goods 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: Consumer Goods CPL averaged 55.18 across the period, 54% above the global baseline average of 35.80—consistently “above market” in every month.
  • Seasonal pattern: Costs climbed into Q4, peaking in December, and stayed elevated in January—aligning with typical holiday-period inflation.
  • Volatility: Month-to-month volatility in Consumer Goods was higher (average absolute MoM change 17.0%) than the global baseline (12.6%).
  • Trend direction: From September 2024 to September 2025, Consumer Goods CPL fell 61% (53.96 to 20.89), while the baseline fell 37% (32.88 to 20.63).
  • Convergence: By September 2025, Consumer Goods nearly matched the global level (only 1.3% above baseline).

Selected series overview (Consumer Goods, all countries)

  • Average: 55.18 (median monthly CPL)
  • High/low: Highest in December 2024 at 74.25; lowest in September 2025 at 20.89; range = 53.36.
  • First-to-last change: -61% from September 2024 (53.96) to September 2025 (20.89).
  • Notable spikes/dips:
  • Biggest increase: November → December 2024 (+29.5%).
  • Biggest decrease: August → September 2025 (-60.3%).
  • Other inflections: April 2025 marked a pronounced dip to 45.04 after a steady Q1 cooldown.
  • Volatility: Average absolute month-to-month change of 17.0%, with pronounced swings around Q4 and late summer.

Comparison to the global baseline

  • Baseline average: 35.80; high/low: 41.58 (November 2024) and 20.63 (September 2025); range = 20.95.
  • First-to-last change: -37% from September 2024 (32.88) to September 2025 (20.63).
  • Relative positioning:
  • Consumer Goods remained above baseline every month, with the premium ranging from +16.7% (April 2025) to +104.4% (January 2025).
  • The largest relative gaps were in December 2024 (+87.4%) and January 2025 (+104.4%), underscoring category sensitivity to holiday demand.
  • The gap narrowed steadily through 2025, reaching near parity in September 2025 (+1.3%).
  • Volatility comparison: Consumer Goods (17.0%) showed higher month-to-month variability than the baseline (12.6%), indicating more pronounced swings around seasonal and mid-year shifts.

Seasonal and timeline highlights

  • Q4 inflation: Costs climbed through late Q4, peaking in December, with January remaining elevated—consistent with holiday and new-year campaign pressure.
  • Spring correction: A sharp reset in April 2025 to 45.04.
  • Early summer lift: Rebounds in May (+18.8%) and June (+11.2%).
  • Late-summer to September drop: A steep decline into September 2025, bringing CPL close to the global level.

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