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Facebook Ads Cost Per Lead Benchmarks for Textiles in France

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Cost Per Lead for Textiles in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • This analysis looks at cost-per-lead (CPL) trends for industry Textiles in France compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Overall level: France–Textiles CPL averages 89.93 across the period, versus 37.32 for the global baseline over the same months—about 2.4x above market (≈+141%).
  • Trajectory: the series rises +392% from the first month (66.24 in Oct-2024) to the last observed month (325.96 in Aug-2025), compared to a +19% lift in the baseline over the same window.
  • Volatility: median month-to-month change is 16.23 for France–Textiles versus 3.32 for the baseline; average absolute monthly change is 71.39 vs 3.91, indicating much higher volatility.
  • Seasonality: both series show a modest Q4 lift. France–Textiles then drops sharply in Apr–Jun before a spike in Aug, while the baseline remains relatively stable through spring–summer.

France–Textiles CPL overview

  • Average: 89.93. Range: 1.78 to 325.96.
  • High: 325.96 in Aug-2025. Low: 1.78 in May-2025.
  • Q4 pattern: modest build from Oct to Dec (66.24 → 75.41 → 76.31), with Q4 average at 72.66.
  • Notable moves:
  • Feb-2025: surge to 176.94 (+194% vs Jan’s 60.08).
  • Mar-2025: eased to 112.59 (−36% vs Feb).
  • Apr-2025: sharp dip to 2.07 (−98% vs Mar), staying near 2.0 in May–Jun (1.78–1.88).
  • Aug-2025: spike to 325.96 following the low spring levels.

Comparison to the global baseline

  • Average level (overlapping months): France–Textiles 89.93 vs global 37.32 (≈2.41x above market).
  • Highs/lows:
  • Baseline high: 41.58 (Nov-2024); low: 31.12 (Oct-2024); a narrow 10.45 range versus France–Textiles’ 324.19 range.
  • Month positioning:
  • Above market in 7 of 10 observed months (Oct–Mar, Aug), notably Feb (+355% vs global) and Aug (+781% vs global).
  • Below market in Apr–Jun (−95% range vs global), the only sustained below-baseline period.
  • Trend comparison:
  • First→last change: +392% (France–Textiles) vs +19% (global).
  • Volatility: median MoM change 16.23 vs 3.32; average MoM change 71.39 vs 3.91—France–Textiles is far more turbulent than the global benchmark.

Seasonal patterns and stability

  • Q4: Both series show a year-end lift, with France–Textiles seeing a mild increase into December, in line with typical holiday-period pressure on Facebook Ads costs.
  • Q1–Q2: The baseline stays steady around the high-30s, while France–Textiles oscillates—from elevated levels in Feb–Mar to a pronounced trough in Apr–Jun.
  • Summer: The global baseline is stable (~37), but France–Textiles jumps dramatically in August.

Month-by-month highlights (France–Textiles)

  • Oct–Dec 2024: steady build (66.24 → 76.31), modest Q4 increase.
  • Jan–Mar 2025: elevated but choppy (60.08 → 176.94 → 112.59).
  • Apr–Jun 2025: trough near 2.0 (record low 1.78 in May).
  • Aug 2025: period high at 325.96.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Textiles and France 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 France, advertisers should consider local market factors and user behavior. 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.

France Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday (Alsace & Moselle)
Apr 21Easter Monday
May 1Labour Day
May 8Victory in Europe Day
May 29Ascension Day
Jun 9Whit Monday
Jul 14Bastille Day
Aug 15Assumption Day
Nov 1All Saints' Day
Nov 11Armistice Day
Dec 25Christmas Day
Dec 26Saint Stephen's Day (Alsace & Moselle)

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas & post‑Christmas sales), May–June (spring sales)

Potential Advertising Impact

CPM and CPC might increase during spring holidays when leisure and travel campaigns see higher engagement. Extended 'ponts' (bridge days) in May could create long weekends with lower weekday ad inventory. Late November and December feature steep increases in ad competition. Christmas season may drive peak ad volumes.

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.