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Facebook Ads Cost Per Lead Benchmarks for Textiles

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Cost Per Lead for Textiles

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per lead benchmarks: Textiles vs global

This analysis looks at cost per lead (CPL) trends for the Textiles industry 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: Textiles CPL averages 21.84 across the months with data, about 39% below the global baseline (35.66) for the same months.
  • Range: Textiles shows a wide range (high 60.46 in Sep 2024; low 1.01 in Oct 2024), while the baseline is tighter (31.12–39.63).
  • Trend: From Sep 2024 to Apr 2025, Textiles CPL fell 75.6%, while the baseline rose 17.4%.
  • Volatility: Median month-to-month change is high in Textiles (~89% vs ~15.5% baseline). A sharp Oct-to-Dec swing is the main outlier.
  • Seasonality: Both series exhibit a December peak, consistent with Q4 holiday cost pressure; Textiles remains below market from Feb onward despite a spring rebound.

Scope and method

  • Metric: cost per lead (CPL)
  • Industry: Textiles
  • Country: all countries available
  • Comparison uses overlapping months only: Sep 2024, Oct 2024, Dec 2024, Feb 2025, Mar 2025, Apr 2025.

Textiles CPL overview

  • Average: 21.84
  • High: 60.46 (Sep 2024)
  • Low: 1.01 (Oct 2024)
  • First-to-last change: -75.6% (Sep 2024 → Apr 2025)
  • Volatility:
  • Month-to-month absolute changes: 98.3% (Sep→Oct), 4,083% (Oct→Dec), -89.1% (Dec→Feb), +74.4% (Feb→Mar), +82.5% (Mar→Apr)
  • Median month-to-month change: ~89% (average skewed by the Oct→Dec surge)

Notable movements:

  • Sharp dip in Oct (1.01), followed by a December spike (42.11).
  • Another trough in Feb (4.64), then steady climbs through Mar (8.08) and Apr (14.75).

Comparison to global baseline

Baseline stats over the same months:

  • Average: 35.66; High: 39.63 (Dec 2024); Low: 31.12 (Oct 2024)
  • First-to-last change: +17.4% (Sep 2024 → Apr 2025)
  • Volatility: median month-to-month change ~15.5% (average ~13.5%)

Relative positioning by month:

  • Sep 2024: above market (+84% vs baseline 32.88)
  • Oct 2024: below market (-96.8% vs 31.12)
  • Dec 2024: slightly above market (+6.2% vs 39.63)
  • Feb 2025: below market (-88.1% vs 38.86)
  • Mar 2025: below market (-75.4% vs 32.84)
  • Apr 2025: below market (-61.8% vs 38.59)

Seasonality and stability

  • Both series peak in December, aligning with typical Q4 holiday inflation in Facebook Ads benchmarks.
  • The baseline remains relatively stable across months, while Textiles displays pronounced swings and a lower overall level post-December, staying below average from February onward.

Understanding cost per lead benchmarks on Facebook Ads in industry Textiles 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 Textiles 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.