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February 2025 - February 2026
Detailed observation of presented data
Textiles’ Facebook Ads cost-per-purchase moved through 2025 with a clear lift and sharper swings than the market. Across all countries, the Textiles median settled at $46.19 for the year, roughly 11% below the global all-industry benchmark of $51.65. The year opened unusually low in January, spiked in February, eased through spring, climbed steadily in summer, dipped in November, and then surged to a December high — a choppy ascent that diverged from the steadier global pattern. Volatility was the defining feature.
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.
Textiles started 2025 at $30.32 and finished at $61.73 — a 104% increase across the year. The low point was January ($30.32) and the high was December ($61.73), creating a wide $31 spread. The annual median averaged $46.19.
Key movements punctuated the path:
Volatility averaged a 9.6-dollar swing month to month for Textiles, far more pronounced than the global benchmark’s 1.6-dollar average change.
The year opened soft, escalated quickly in February, and normalized through late spring. Q3 delivered the steadiest progression, with compounding gains from July through September. Q4 showed mixed dynamics: a brief October plateau, a notable November softening, and a decisive December surge. In the broader market, performance typically softens through Q4 as competition rises, with engagement often rebounding around peak shopping periods — 2025’s Textiles pattern echoed that rhythm but with larger amplitudes.
Compared with the global all-industry benchmark, Textiles across all countries trended lower on average (−10.6%) but with more dramatic moves:
Trendlines diverged: the global benchmark drifted down about 10% from January ($53.15) to December ($47.62), staying mostly in a tight $47–$55 band, while Textiles climbed from a deep January low to a year-end high, with a wider $30–$62 range. Volatility was about six times higher in Textiles (9.6 vs. 1.6 monthly points).
In summary, Facebook Ads benchmarks for cost per purchase show Textiles across all countries averaging $46.19 in 2025, below the $51.65 global median, but with bigger monthly swings and a strong year-end rally. For performance marketers reviewing CPM analysis, CPC trends, and CTR performance alongside CPP, these country-agnostic, industry-specific ad performance benchmarks clarify how acquisition costs in Textiles compared to the global market throughout the year.
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. 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.
It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.
Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.
Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.
Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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