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July 2025 - July 2026
Detailed observation of presented data
Textiles' cost-per-purchase sat far below the global baseline for most of the 11-month window, then climbed sharply into mid-2026, ending the period materially higher than where it began. 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 in All countries compared to the global benchmark.
From August 2025 to June 2026 Textiles (All countries) moved from $3.56 to $10.50 per purchase — an increase of roughly +195%. Across the period the median cost-per-purchase averaged about $5.60, with a low of $3.43 in September 2025 and a high of $10.50 in June 2026. Month-to-month swings were notable: January 2026 produced a near 49% uptick versus December, March rose about 30% versus February, April jumped roughly 45% from March, and June finished with another 35% rise over May. Absolute range across the year was about $7.07.
Volatility was elevated: average month-over-month movement measured roughly 22% (absolute percent change), signaling more pronounced swings than typical baselines in the dataset.
While this summary centers on cost-per-purchase, the same reporting suite tracks Facebook Ads benchmarks across CPC trends, CPM analysis, and CTR performance — offering context across purchase and engagement metrics.
The rhythm shows a muted late‑2025 (Aug–Dec) plateau around $3.4–$4.1, followed by a pronounced lift in early 2026. January kicked off a new phase with a steep rise, a brief pullback in February, then renewed acceleration through spring: March-to-April delivered a strong lift, May dipped slightly from April, and June closed the period at the peak. This pattern reads like a quiet pre-holiday baseline, a post-holiday rebound and then an intensifying mid‑year escalation — with the heaviest upward momentum concentrated in Q1–Q2 of 2026.
Seasonal context in the global data also shows familiar cyclical pressures: the global benchmark hit a high in March and then softened toward June, mirroring typical shifts in competition and spend across quarters.
Compared with the global baseline over the same months, Textiles in All countries was markedly below market. The baseline median across Aug 2025–Jun 2026 averaged about $49.94 per purchase versus Textiles’ $5.60 — roughly 89% lower. The gap narrowed and widened over time: at its narrowest (June 2026) Textiles was about 24% of the global cost-per-purchase; at its widest (October/November windows) it was under 10% of the global median. Global cost-per-purchase trended modestly downward over the period (roughly −18% from Aug to Jun), while Textiles exhibited a choppier, upward trajectory (+~195%), and materially higher month-to-month volatility (~22% vs ~6% for the baseline).
Understanding Facebook Ads cost-per-purchase benchmarks for Textiles in All countries sheds light on how industry ad performance can diverge from broader baseline trends across CPC trends, CPM analysis, and CTR performance.
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.
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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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