Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Textiles in United Kingdom

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

Cost Per Lead for Textiles in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per lead benchmarks: key takeaways

This analysis looks at cost per lead (CPL) trends for industry Textiles and target country Great Britain compared to the global trend. Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, Textiles in Great Britain runs well above market and is highly volatile. Average CPL in the selected data is about 3.5x the global baseline, with a clear Q4 rise and a steep late-summer spike in August.

Selected data highlights (Textiles, Great Britain)

  • Overall level
  • Average CPL: 125.33
  • High: 512.38 (2025-08)
  • Low: 47.32 (2025-05)
  • Range: 465.06
  • First to last month: 66.73 (2024-10) → 220.08 (2025-09), up +229.8%
  • Volatility
  • Average absolute month-to-month change: 72.2%
  • Largest jumps: +103.1% May→June; +412.1% July→August
  • Largest drops: −33.2% December→January; −54.6% March→April; −57.1% August→September
  • Seasonal pattern
  • Q4 2024 climbed steadily: 66.73 (Oct) → 74.84 (Nov) → 81.34 (Dec), followed by a January dip to 54.34—consistent with holiday-driven cost pressure and post-peak easing.

Comparison with the global baseline

  • Level vs market
  • Selected average: 125.33 vs baseline 36.04 (about 3.5x above market).
  • Selected CPL is above the baseline in every month of the period.
  • Highs and lows
  • Baseline high: 41.58 (2024-11); low: 20.63 (2025-09).
  • Selected high (512.38 in August) far exceeds any baseline month; selected low (47.32 in May) still sits above most baseline months.
  • Trend and volatility
  • Baseline trend eased over time: 31.12 (2024-10) → 20.63 (2025-09), down −33.7%.
  • Baseline volatility is moderate: average absolute month-to-month change of 13.3% vs 72.2% in the selected data.
  • Seasonal pattern comparison
  • Both series show Q4 elevation: the selected Q4 rose each month; the baseline peaked in November (41.58).
  • Late summer diverges: the baseline falls into September, while the selected series surges in August to its period high before correcting in September.

Notable monthly movements

  • Q4 build: steady increases from October through December in the selected data, aligning with typical holiday-period cost pressure.
  • January reset: −33.2% month-over-month drop in the selected series, consistent with post-holiday easing.
  • Mid-year swings: sharp increases February→March (+54.2%) and May→June (+103.1%), followed by sizable pullbacks March→April (−54.6%).
  • Late-summer spike: July→August jumps +412.1% to 512.38, then falls −57.1% in September, yet remains well above October’s starting level.

Understanding cost per lead benchmarks on Facebook Ads in industry Textiles and Great Britain 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. For campaigns targeting United Kingdom, advertisers experience moderate to high costs with strong performance in urban areas. 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.

United Kingdom Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 22nd January (Scotland)
Apr 18Good Friday
Apr 21Easter Monday
May 5Early May Bank Holiday
May 26Spring Bank Holiday
Aug 25Summer Bank Holiday
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Cyber Monday surge), Late December (Christmas & Boxing Day promotions), Early May holiday weekend promotions

Potential Advertising Impact

CPM and CPC might increase around early May and late August bank holidays as people engage in leisure travel or retail browsing. During Black Friday/Cyber Monday, retail CPMs could spike sharply in fashion, electronics, and online shopping. Late December typically sees peak CPMs, with e‑commerce budgets needing early ramp-up.

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.

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