Understand how your CPM compares. Dive into benchmark data by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Across all countries, Facebook Ads CPMs for the Textiles industry ran consistently below the global, all‑industry benchmark, but with notably sharper swings. The headline: a dramatic mid‑winter dip, a firm recovery into mid‑year, and a softer finish. Median CPM averaged $14.04 for Textiles versus $19.77 globally (about 29% lower), with the widest gap in February and the narrowest in midsummer. Volatility was the other defining feature—the series moved almost three times more month to month than the global benchmark.
This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Textiles across all countries compared to the global benchmark.
The period opens at $15.61 in November 2024 and closes at $12.67 in November 2025, an 19% decline end to end. The low came in February 2025 at just $3.18, followed by a rapid rebound to $10.81 in March and a climb to a yearly high of $18.15 in July. From there, CPMs eased: $17.92 in August, $16.15 in September, $16.44 in October, and a sharper pullback to $12.67 in November.
Across the span, Textiles CPMs ranged from $3.18 to $18.15, averaging $14.04. Average absolute month‑over‑month movement was $3.26, versus $1.11 for the global benchmark—roughly 3x more volatile. Key inflection points: a steep December drop (−$2.69), the February trough (−$10.06 from January), a March rebound (+$7.64), and a late‑year drop into November (−$3.77 from October).
By comparison, the global benchmark ranged from $17.75 to $24.05 over the same period, averaging $19.77 and ending at $21.13—down 12% from November 2024 but far steadier.
Seasonally, Textiles showed an unusually soft Q1. The quarter averaged $9.08, with the February crash standing out against typical early‑year troughs. Q2 lifted materially to $15.14, and Q3 was the strongest stretch at $17.41, led by July’s peak. Late‑year CPMs cooled: October held at $16.44 before November slipped to $12.67.
The global series followed a more familiar rhythm: elevated Q4 (Nov–Dec 2024 at $24.05 and $20.34), a mild Q1 dip (averaging $18.27), steady Q2–Q3 around the $19–20 band, and another Q4 lift (October–November 2025 at $21.02–$21.13). In short, Textiles across all countries rebounded with mid‑year strength but did not share the late‑year lift common in the broader market.
Textiles CPMs trailed the global benchmark throughout. The gap was typically 10–40% below market, narrowing in June–August (−9% to −10%) and reaching its tightest in July at just −5% ($18.15 vs. $19.05). The widest divergence came in February at −82% ($3.18 vs. $17.98). Over the period, the global trend slipped 12% with modest month‑to‑month moves, while Textiles fell 19% with choppier momentum.
These differences underscore that country‑specific ad costs and industry ad performance can diverge from broad Facebook Ads benchmarks; while CPC trends and CTR performance often move on different cadences, this CPM analysis highlights how Textiles pricing behaved across all countries versus the market baseline.
Understanding Facebook Ads CPM benchmarks for the Textiles industry across all countries helps teams interpret CPM analysis against the global benchmark and evaluate how country‑aggregated, industry‑specific ad costs moved relative to broader market patterns.
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.
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.
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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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.
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.
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.
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.
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.
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.
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