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Facebook Ads Cost Per Purchase Benchmarks for Design in United Kingdom

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

Cost Per Purchase for Design in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Design in Great Britain vs global

This analysis looks at cost-per-purchase trends for industry Design 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.

Main takeaways

  • Overall level: Design in Great Britain ran well above market, averaging 213.36 versus the global 47.82 (about 4.5x higher).
  • Volatility: Extremely high volatility in the selected data (average month-to-month swing of 140.13) versus a very stable global baseline (3.25).
  • Seasonality: Q4 in Great Britain was unusually soft (December dipped to 36.53), followed by sharp escalations in Q1–Q3 and a dramatic drop in September (8.08). The global trend shows modest Q4/Q1 uplift and a late-summer/early-fall dip.
  • End-of-period shift: From October to September, Great Britain fell 92.7%, while the global baseline declined 30.8%.

Selected data overview (Design, Great Britain)

  • Period: Oct 2024–Sep 2025 (monthly medians for cost-per-purchase)
  • Average: 213.36
  • High: 450.54 in May 2025
  • Low: 8.08 in September 2025
  • Range: 442.46 (very wide)
  • Change from first to last month: 111.25 (Oct 2024) to 8.08 (Sep 2025), down 92.7%
  • Volatility: Average absolute month-to-month change of 140.13
  • Notable movements:
  • Q4 easing: Oct 111.25 → Nov 62.89 → Dec 36.53
  • Q1/Q2 surge: Jan 64.74 → Feb 181.41 → Mar 382.40 → Apr 251.80 → May peak 450.54
  • Mid-year swings: Jun down to 243.43, Jul back up to 417.93, Aug 349.33
  • Sharp correction: Sep collapses to 8.08

Global baseline (all industries/countries)

  • Average: 47.82
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Range: 21.60
  • Change from first to last month: 46.67 (Oct 2024) to 32.29 (Sep 2025), down 30.8%
  • Volatility: Average absolute month-to-month change of 3.25
  • Seasonal pattern: Slight lift from December through March, then gradual easing into summer with a pronounced dip in September.

Comparison to the global benchmark

  • Level vs market: Great Britain’s Design cost-per-purchase averaged about 4.5x above global. It was above market in 10 of 12 months; only December (36.53 vs 51.53) and September (8.08 vs 32.29) ran below the global median.
  • Peak multiples: May (450.54) and July (417.93) were roughly 9x the global benchmark in their respective months.
  • Stability: The selected series shows large swings (e.g., +201 in March, +199 in May, −207 in June, −341 in September), whereas the global line is comparatively steady with modest month-to-month moves.
  • Seasonality alignment: The baseline shows typical Q4/Q1 firmness and late-Q3 softness. Great Britain’s Design series deviates with an unusually low December, outsized spikes in spring/summer, and an exceptional September low.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Design 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 Design 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.