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July 2025 - July 2026
Detailed observation of presented data
Great Britain’s cost-per-purchase (COST_PER_PURCHASE) moved like a jittery market over the last 13 months: on average above the global benchmark, punctuated by sharp spikes in September and December 2025 and a steady drift lower into mid-2026. 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.
In July 2025 Great Britain started at about £56.19 per purchase and closed July 2026 at roughly £41.29 — a decline of about 26% from start to finish. Across the period the GB median cost per purchase averaged ≈£53.0. The year’s high was December 2025 at ~£85.5 (the largest single-month peak), and the low came in April 2026 at ~£36.5 — a full £49 gap between the high and low.
Compared to the global baseline, GB ran above the market most months: the GB mean (~£53.0) exceeded the global median (~£47.6) by about £5.4, or roughly +11–12%. Month-to-month moves were dramatic: GB experienced average absolute monthly swings of roughly 26% (many months saw changes in the 30–70% range), highlighting material volatility in COST_PER_PURCHASE for All industries in Great Britain.
Seasonality shows recognizable momentum: September and December 2025 produced notable lifts — September climbed to ~£76.8 and December spiked to ~£85.5 — likely concentrated bursts rather than a steady climb. After the December apex, GB retraced sharply in January 2026 to ~£52.3 and continued a general easing through April (~£36.5). May produced a rebound to ~£53.8 before another retreat into June (~£37.1) and a modest lift into July 2026. In short: a Q4 spike, early-Q1 pullback, a spring trough, and intermittent rebounds through early summer.
Relative to the baseline, GB was above average for much of the window — often 5–45% higher month to month — but there were periods where GB undercut the global median (notably Feb–Apr and June 2026, where GB ran ~8–27% below the baseline). The largest divergence came in July 2026 when the global benchmark dipped to ~£19.7, making GB appear ~110% higher that month; that baseline drop is a sharp outlier in the global series. Across the year the global pattern showed smaller month-to-month moves for most months, but a large late-period swing makes the baseline appear more volatile overall. Put simply: GB’s COST_PER_PURCHASE was generally above market and more choppy, with intermittent months falling below the global median.
This data-driven narrative on COST_PER_PURCHASE for All industries in Great Britain sits alongside Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance as part of a broader view of country-specific ad costs and industry ad performance. Understanding Facebook Ads cost-per-purchase benchmarks for All industries in Great Britain helps advertisers evaluate engagement and compare performance to global patterns.
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.
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.
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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Late November (Black Friday/Cyber Monday surge), Late December (Christmas & Boxing Day promotions), Early May holiday weekend promotions
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.
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.
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.
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.
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.
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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