Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Textiles in United Kingdom

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Textiles in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: key takeaways

  • This analysis looks at cost per purchase trends for industry Textiles and target country Great Britain compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • On average, Great Britain Textiles ran above market: 61.3 vs a global 47.8 cost per purchase (+28%).
  • Highest month for Great Britain Textiles was October 2024 (91.24); the lowest was July 2025 (33.27). The period ends at 57.92, down 36.5% from the start.
  • Volatility in Great Britain Textiles was elevated: average month-to-month change ~20% vs ~7% globally, with a sharp July dip (-41% MoM) and August snap-back (+69% MoM).
  • Seasonal signature appears: elevated costs in Q4 around holidays, easing into Q1; the global baseline also softened into late summer, hitting a low in September.

Great Britain Textiles: trend overview

  • Average, high, low: Average cost per purchase was 61.3 across the last 12 months, peaking at 91.24 in October 2024 and bottoming at 33.27 in July 2025.
  • Direction of travel: From October 2024 to September 2025, costs fell 36.5% (91.24 to 57.92). The path was uneven: a steady slide from Q4 into March (Oct→Mar: -55%), a modest Q2 recovery (April–June), a July dip to the series low, then a rebound in August–September.
  • Volatility and notable moves:
  • Largest declines: February→March (-29.8%), June→July (-41.2%).
  • Largest increases: July→August (+69.1%), March→April (+20.6%).
  • Average month-to-month absolute change: ~20%.

Global baseline: context

  • Average, high, low: The global baseline averaged 47.8, with a high in February 2025 (53.89) and a low in September 2025 (32.29).
  • First-to-last change: -30.8% from October 2024 (46.67) to September 2025 (32.29).
  • Volatility: Average month-to-month absolute change ~7%, with steadier movement than Great Britain Textiles except for a marked September drop (-29.3% MoM).

How Great Britain Textiles compares to global

  • Level vs market: Great Britain Textiles ran above market in 8 of 12 months, especially in Q4 and early Q1:
  • October–January: 36–107% above market.
  • March–May: moved below market (March -23%, April -5%, May -1% vs baseline), roughly in line by May.
  • July: 28% below market at the trough; August–September rebounded to 23–79% above market.
  • Averages and spread: The selected series’ average (61.3) sits +28% over the global average (47.8), with a wider range (33.27–91.24) and sharper month-to-month swings than the baseline.
  • Seasonality: Both series reflect higher costs in Q4 around holiday periods and easing into Q1. The selected data shows a distinctive mid-summer dip (July) ahead of a late-summer rebound, whereas the global low lands in September.

Monthly highlights worth noting

  • Q4 2024: Elevated for Great Britain Textiles (Oct peak at 91.24), consistent with holiday-driven demand.
  • Q1 2025: Continued softening for Great Britain Textiles, reaching 40.69 in March, briefly moving below market.
  • Q2 2025: Gradual normalization (around 49–57), close to global levels by May–June.
  • Q3 2025: A sharp July trough (33.27), then a strong rebound to 56.25 in August and 57.92 in September, finishing well above the global September low (32.29).

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Textiles and Great Britain helps advertisers make more efficient budget and creative choices.

Understanding the Data

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. For campaigns targeting United Kingdom, advertisers experience moderate to high costs with strong performance in urban areas. 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.

United Kingdom Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 22nd January (Scotland)
Apr 18Good Friday
Apr 21Easter Monday
May 5Early May Bank Holiday
May 26Spring Bank Holiday
Aug 25Summer Bank Holiday
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Cyber Monday surge), Late December (Christmas & Boxing Day promotions), Early May holiday weekend promotions

Potential Advertising Impact

CPM and CPC might increase around early May and late August bank holidays as people engage in leisure travel or retail browsing. During Black Friday/Cyber Monday, retail CPMs could spike sharply in fashion, electronics, and online shopping. Late December typically sees peak CPMs, with e‑commerce budgets needing early ramp-up.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.