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Facebook Ads Cost Per Purchase Benchmarks for Consulting in United Kingdom

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Cost Per Purchase for Consulting in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • Based on $3B worth of advertising data, the Consulting industry in Great Britain shows a higher and more volatile Facebook Ads cost-per-purchase than the global benchmark.
  • Average cost-per-purchase for the selection is 60.29, about 22% above the global baseline (49.24).
  • Strong seasonality: a sharp Q4 surge peaks in December (123.48), followed by a steep reset in January (39.30) and another spike in July (77.57).
  • Volatility is pronounced: average month-to-month movement is 30.81 for the selection versus just 2.24 globally.
  • Over the period observed, the selection finishes 28.6% lower than it started (October to August), while the baseline is largely flat (-2.1% over the same months).
  • The selection sits above the global median in 6 of 11 months, indicating intermittent “above market” pressure.

What this analysis covers

This analysis looks at cost-per-purchase trends for industry Consulting with target country Great Britain compared to the global trend. It summarizes monthly median performance and compares it to a global baseline to give directional Facebook Ads benchmarks.

Selected trend highlights

  • Average: 60.29 across Oct 2024–Aug 2025.
  • High: 123.48 in December (Q4 peak).
  • Low: 27.13 in February.
  • Range: 96.35 between the highest and lowest month.
  • First-to-last change: from 73.48 in October to 52.50 in August (-28.6%).
  • Volatility: average month-to-month absolute change of 30.81.
  • Notable swings:
  • Oct→Dec: +68% (73.48 to 123.48).
  • Dec→Jan: -68% (123.48 to 39.30).
  • Jun→Jul: +134% (33.18 to 77.57).
  • Feb→Mar: +104% (27.13 to 55.20).

Comparison with the global baseline

  • Baseline average: 49.24 (selected is ~22% higher; +11.05 in absolute terms).
  • Baseline high/low: 53.89 (Feb) and 43.19 (Nov); a much narrower range of 10.69.
  • Baseline first-to-last change (Oct→Aug): -2.1% (46.67 to 45.69).
  • Baseline volatility: average month-to-month absolute change of 2.24.
  • Relative positioning by month (Oct–Aug): the selection is above the global median in 6 of 11 months.
  • December stands out at roughly 2.4x the global median (123.48 vs. 51.53).
  • February marks the local floor at roughly half the global median (27.13 vs. 53.89).

Seasonality and timeline notes

  • Q4 holiday effects are evident in Great Britain Consulting, with pronounced elevations in November and especially December. This exceeds the global pattern, which rises modestly into December.
  • A clear post-holiday normalization occurs in January–February, with costs hitting the annual low in February.
  • Spring is uneven: a rebound in March is followed by another dip in April, then mixed levels through early summer.
  • July shows a notable summer surge before easing in August, while the global series remains relatively stable throughout.

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

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