Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks in United Kingdom

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

Cost Per Purchase in United Kingdom

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all industries in Great Britain, Facebook Ads cost per purchase ran higher than the global benchmark and moved with notably sharper swings. The year opened with a soft January, vaulted to a March peak, collapsed into early summer, then rebounded hard in August before easing into autumn. The standout moments: a March high that was far above market, a June–July trough, and an August snapback that reset costs upward.

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 all industries in Great Britain compared to the global benchmark.

The story in the data

From November 2024 to October 2025, Great Britain’s cost per purchase averaged 57.8, with a median of 58.7. The series started at 56.52 in November and ended at 46.72 in October, a 17% decline end-to-end. The high came in March at 87.24, while the low hit in June at 36.38, a range of roughly 50.9 points.

Monthly momentum defined the narrative:

  • December dipped slightly (50.73), then January slid further to 40.40.
  • From January to March, costs surged +116% to the annual high (40.40 → 87.24).
  • April cooled to 61.25, May lifted again to 75.86, then June fell sharply to the annual low (36.38), with July steady at 36.53.
  • August whiplashed back up to 72.94, before easing through September (60.93) and October (46.72).

Volatility was pronounced: the average absolute month-to-month change in Great Britain was 18.7 points, far choppier than the global series at just 2.6. The biggest single drop was May → June (−39.48), and the largest jump was July → August (+36.40).

Seasonal and monthly dynamics

Holiday-period costs in Great Britain were elevated but not extreme, with November (56.52) higher than December (50.73). January marked a trough, followed by a late-Q1 surge culminating in March’s peak. Spring moderated, then early summer compressed sharply across June and July—the softest stretch of the year—before a late-summer rebound in August. Autumn drifted lower from that August reset, closing October near the mid-40s.

This rhythm contrasts with typical seasonal expectations where Q4 competition often sustains higher costs; here, the most intense price pressure clustered in late Q1 and late summer, not December.

Country vs. Global

Great Britain outpaced global cost per purchase on average by about 17–18% (57.8 vs. 49.3). It ran above the global benchmark in 9 of 12 months, lagging only in January (−22%), June (−24%), and July (−23%). At its narrowest gap, December sat just 1% above the global median; October was also relatively close (+8%). At its widest, March soared 66% above global levels, with August (+45%) and May (+48%) also showing substantial premiums.

While the global series was steady—hovering in a tight 43–54 band and ending nearly flat from November to October—Great Britain’s path was more volatile and ultimately trended lower from its November starting point despite major intra-year peaks.

Closing

Understanding Facebook Ads cost-per-purchase benchmarks for all industries in Great Britain highlights a market that typically sits above global levels but moves through larger swings—marked by a late-Q1 peak, a mid-year low, and a late-summer rebound. These country-specific ad costs provide context for broader Facebook Ads benchmarks alongside CPC trends, CPM analysis, and CTR performance comparisons to the global market.

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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.