Facebook Ads Insights Tool

Facebook Ads CPM Benchmarks for Textiles

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

CPM (Cost Per Mille) for Textiles

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, this analysis looks at cost-per-thousand-impressions (CPM) trends for industry Textiles and target country All countries available compared to the global trend.
  • On average, Textiles CPM is slightly below market: 19.34 vs. the global baseline’s 19.85 (about 2.6% lower).
  • High volatility in Textiles: average month-to-month swing of roughly 37% (vs. ~9% globally), including a sharp post-holiday surge and a steep Q2 compression.
  • Highs and lows: peak CPM in February 2025 (27.40) and a low in May 2025 (7.74). Overall range: 19.66.
  • From the first to the last observed month (Oct 2024 to Jun 2025), Textiles CPM fell 58%, while the global baseline dipped only 5%.

What the Textiles series shows (All countries)

  • Average CPM: 19.34 across Oct 2024–Jun 2025.
  • High/low: 27.40 (Feb 2025) and 7.74 (May 2025).
  • Trend: Elevated in Oct–Nov (25.22 and 26.89), softening in Dec (20.21), then a pronounced spike in Feb–Mar (27.40, 27.00), followed by a sharp decline into May (7.74) before a partial rebound in June (10.54).
  • First-to-last change: down 58% from Oct 2024 (25.22) to Jun 2025 (10.54).
  • Volatility: average absolute month-to-month move of about 6.45 CPM points; the largest jump occurred Jan→Feb (+104%), and the steepest drop Apr→May (−50%).

How it compares to the global baseline

  • Baseline average (same period): 19.85; high/low 24.67 (Nov 2024) and 17.97 (Jan 2025).
  • Baseline trend is steadier: average absolute month-to-month move ~1.88 CPM points and ~9% in percentage terms; Oct 2024→Jun 2025 change of −5%.
  • Relative positioning by month:
  • Above market: Oct (+24%), Nov (+9%), Feb (+52%), Mar (+39%).
  • In line: Dec (−2% vs. baseline).
  • Below market: Jan (−25%), Apr (−16%), May (−61%), Jun (−45%).
  • Net result: the Textiles series is roughly in line with overall trends on average, but alternates between well above market (especially Feb–Mar) and materially below average (Apr–Jun).

Seasonality and patterns marketers should note

  • Q4 often sees elevated CPMs on Facebook Ads; here, Oct–Nov are indeed higher, while December softens.
  • A notable post-holiday spike appears in February–March for Textiles (well above the global level), followed by a pronounced Q2 compression that brings CPMs substantially below the global baseline in April–June.

Understanding cost-per-thousand-impressions 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

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. 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 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.