See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Global Textiles brands spent most of the year buying purchases well below the all‑industry market, before swinging sharply above it in Q3 and staying elevated into October. The 12‑month arc shows a deep January trough, a choppy spring, and a sustained Q3 surge that pushed cost-per-purchase to the top of the range. Volatility was the defining feature: swings were far larger than the global benchmark, with standout extremes in January and September. 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.
Across November 2024–October 2025, cost per purchase (CPP) for Textiles averaged about $38.36, with a median near $38.13. That sat well below the global all‑industry average of $49.33 (median ~$50.25). The period opened at $29.16 (November 2024) and closed at $55.35 (October 2025), a 90% lift end‑to‑end.
The year’s low was January at just $8.82, followed by a whiplash spike to $55.55 in February. After easing to $40.57 in March and $17.91 in April, CPP climbed through the summer, peaking at $58.23 in September before a modest pullback to $55.35 in October. Range was wide: $8.82–$58.23 for Textiles (a $49 spread) versus $42.61–$53.84 for the global benchmark (an $11 spread).
Month‑to‑month volatility averaged roughly $13.44 for Textiles—over five times the global benchmark’s $2.58—signaling a more restless market for conversion costs in this category.
The pattern splits cleanly by season. Q4 2024 was comparatively soft for Textiles (average ~$27), giving way to a jagged Q1: a historic low in January, a February jump, and a higher March level than Q4’s baseline. Q2 retrenched (average ~$26.70), then Q3 surged decisively (average ~$55.20), with CPP hitting the annual high in September and staying elevated into October. This rhythm mirrors broader auction dynamics where competition and demand pockets shift through mid‑year; though performance typically tightens in late Q4, Textiles’ peak arrived in early fall rather than the holiday window.
Relative to the global all‑industry benchmark, Textiles was generally cheaper: 7 of 12 months ran below market, and 5 months ran above. On average, Textiles CPP was about 22% below the global level. When it underperformed (Nov, Dec, Jan, Mar, Apr, May, Jun), it did so materially—by an average of 47%. When it ran above market (Feb, Jul, Aug, Sep, Oct), it did so more moderately—by an average of 14%.
The gap swung from an 83% discount in January to a 28% premium in October, with the narrowest spread in February (+3% vs. global). While the global benchmark was stable (+2% from November to October), Textiles moved on a much choppier path, rising nearly sixfold from January’s trough to September’s peak.
Overall, Facebook Ads benchmarks show cost per purchase for the Textiles industry across all countries was lower than the global all‑industry market on average, but far more volatile, with a pronounced Q3 surge. Understanding cost per purchase trends—alongside CPC trends, CPM analysis, and CTR performance—helps frame industry ad performance for Textiles globally against the steady global benchmark.
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.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app