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Facebook Ads Cost Per Purchase Benchmarks for Construction in United Kingdom

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

Cost Per Purchase for Construction in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: Construction in Great Britain vs. global

This analysis looks at cost per purchase trends for industry Construction 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.

Key takeaways

  • The Construction–Great Britain series sits well above market throughout the period, averaging about 1,017 versus a global baseline of 49, or roughly 20x higher on average.
  • Volatility is extreme in the selected data (average month‑over‑month absolute change ~153%), compared with a very stable baseline (~4.7%).
  • Seasonality diverges from typical patterns: instead of a Q4 spike, costs fall into December and January, then surge in March–June with sharp peaks.
  • From the first to last observed month, the selected series declines 32%, while the baseline slips only 2%.

Selected series overview (Construction, Great Britain)

  • Period covered: Oct 2024–Aug 2025 (11 months).
  • Average: 1,017.27; median: 588.16.
  • High: 2,825.62 (June 2025).
  • Low: 327.00 (February 2025).
  • First-to-last change: 867.98 (Oct 2024) to 588.16 (Aug 2025), down 32.2%.
  • Notable spikes and dips:
  • Up 474% in March 2025 vs. February; further up 17.5% in April.
  • Down 84% from April to May.
  • Up 698% from May to June (period high).
  • Down 88% from June to July; then +75% into August.
  • Volatility: average absolute month‑over‑month change of ~153%, indicating highly erratic acquisition costs.

Global baseline overview (all industries/countries)

  • Period aligned to Oct 2024–Aug 2025.
  • Average: 49.24.
  • High: 53.89 (February 2025).
  • Low: 43.19 (November 2024).
  • First-to-last change: 46.67 (Oct 2024) to 45.69 (Aug 2025), down 2.1%.
  • Volatility: average absolute month‑over‑month change of ~4.7%, reflecting steady market conditions.

Comparative positioning

  • Level: The selected series remains above market every month, ranging from roughly 6x (January–May 2025 lows) to over 60x (June 2025 peak) versus the baseline. Overall positioning is decisively above market.
  • Volatility: Selected data is far more volatile than the baseline, with large, short‑lived surges and drawdowns.
  • Seasonality: While many advertisers see higher costs in Q4, the selected series softens into December and January. The strongest cost pressure appears in spring and early summer (March–June), culminating in June’s period high. The baseline shows mild, steady fluctuations without such spikes.

Monthly highlights (selected vs. baseline context)

  • Q4 2024: Elevated but easing into December (948 in Nov to 492 in Dec), while the baseline rises into December.
  • Q1 2025: Costs continue down to the period low in February (327), then pivot sharply upward in March (1,878).
  • Q2 2025: April remains high (2,206); May collapses (354) before June spikes to the period high (2,826).
  • Summer 2025: July retraces (336), August partially recovers (588), still clearly above global averages.

Understanding cost per purchase benchmarks on Facebook Ads in industry Construction 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 Construction 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.