Facebook Ads Insights Tool

Facebook Ads CPM Benchmarks for Textiles in France

Understand how your CPM compares. Dive into benchmark data by industry, region, and campaign type

CPM (Cost Per Mille) for Textiles in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads CPM benchmarks and trends

This analysis looks at cost-per-thousand-impressions (CPM) trends for the Textiles industry in France 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

  • The Textiles-France CPM averaged 8.62 over the period, sitting well below the global baseline average of 19.80 (about 56% lower).
  • Both series peak in November, highlighting typical Q4 cost pressure; France shows a sharper spike and a deeper late-summer dip.
  • Volatility is higher in France: average month-to-month movement is 1.96 (about 23% of the mean) vs 1.60 globally (about 8% of the mean).
  • From October 2024 to September 2025, France’s CPM fell 27%, while the global baseline declined 5%.

Overview of the selected series (Textiles, France)

  • Period covered: Oct 2024–Sep 2025
  • Average: 8.62
  • High: 12.05 in November 2024
  • Low: 5.70 in September 2025
  • First-to-last change: -27% (7.80 in Oct 2024 to 5.70 in Sep 2025)
  • Volatility: average absolute month-to-month change of 1.96 (≈22.7% of the mean)
  • Notable moves:
  • Q4 spike: +54% from October to November; retreat in December (-20%).
  • Early-year rebound: +31% from January to February.
  • Mid-summer correction: -34% from July to August, then another -15% into September.
  • Seasonal pattern: Q4 runs higher (Q4 average 9.85, ~14% above the 12-month average), while late summer trends to the annual low (September).

Comparison to the global baseline

  • Baseline average: 19.80; peak 24.67 in November; low 17.97 in January.
  • First-to-last change: -5% (20.32 in Oct 2024 to 19.31 in Sep 2025).
  • Volatility: average month-to-month change of 1.60 (≈8.1% of the mean), indicating steadier global pricing than France Textiles.
  • Q4 seasonality is evident globally as well (Q4 average 21.88, ~10% above the annual average), with a mild reset in January.
  • Relative positioning (France Textiles vs global):
  • Consistently below market every month by 40–71%.
  • Narrowest gap in February (about 40% lower; 10.90 vs 18.09).
  • Widest gap in September (about 71% lower; 5.70 vs 19.31).
  • November, the shared annual peak, is roughly half the global level (12.05 vs 24.67).

Seasonality and stability

  • Seasonality aligns with marketer expectations: costs typically increase in Q4 around holiday periods before moderating in Q1.
  • Compared to the baseline, France Textiles exhibits stronger amplitude: sharper Q4 lift and a pronounced late-summer dip. The annual range is 6.35 (≈74% of the mean) vs 6.70 globally (≈34% of the mean), underscoring higher relative variability.

Understanding cost-per-thousand-impressions 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

Cost Per Mille (CPM) is the cost advertisers pay for 1,000 impressions of their Facebook ad. 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 affects CPM rates on Facebook Ads?

CPMs are heavily influenced by competition, seasonality (e.g., Q4 costs more), audience size, and ad quality. Smaller audiences and lower relevance scores often lead to higher CPMs.

Why does my CPM vary so much between campaigns?

Different campaign objectives, bidding strategies, and even time of day can change your CPM. For example, conversion campaigns usually have higher CPMs than traffic ones. Also, broad targeting tends to drive lower CPMs.

What's a competitive CPM for 2025?

In most industries, CPMs range from $5 to $18 depending on the region and objective. Retail and e-comm campaigns often sit at the higher end. Our live data above shows a breakdown by country and industry.

Does audience size or targeting affect CPM more?

Both matter, but audience quality (intent + match with your offer) usually has more impact than pure size. However, extremely tight audiences often lead to expensive CPMs due to limited delivery opportunities.

Should I worry more about CPM or CPC?

Depends on your goal. For awareness, CPM is more relevant. For performance campaigns, CPC and CPA matter more. But all are connected—inefficient CPMs can inflate your entire funnel.