Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks for E-commerce in United Kingdom

See how your CTR stacks up. Explore industry, regional, and campaign-type benchmarks with Superads.

CTR (Click Through Rate) for E-commerce in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Great Britain E-commerce click-through-rate averaged 2.18%, about 21% above the global baseline average of 1.81% across the same period.
  • The selected trend was more volatile: average month-to-month movement of 0.21 percentage points versus 0.05 points globally (around 4x higher).
  • Highs and lows: GB E-commerce peaked at 2.92% (Sep 2025) and bottomed at 1.83% (Nov 2024), while the global high/low was 2.12% (Sep 2025) and 1.67% (Feb 2025).
  • From Oct 2024 to Sep 2025, GB E-commerce rose 48%, versus a 20% increase in the global trend.
  • Seasonality: the selected series softened in late Q4, recovered through spring and summer, and surged in September; the global baseline trended steadily upward from February into Q3.

This analysis looks at click-through-rate trends for industry E-commerce 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.

Selected trend highlights (E-commerce, Great Britain)

  • Average and level: The median click-through-rate averaged 2.18% across the last 12 months, consistently above market.
  • Highs and lows: Highest at 2.92% in Sep 2025; lowest at 1.83% in Nov 2024. The overall range was 1.09 percentage points.
  • Growth over time: From 1.98% (Oct 2024) to 2.92% (Sep 2025), a +47.6% increase.
  • Volatility: Average absolute month-to-month change was 0.21 percentage points.
  • Notable moves:
  • Feb 2025 jumped +13.7% vs Jan (2.19% vs 1.92%).
  • Mar 2025 pulled back -10.6% vs Feb (1.96%).
  • Jun 2025 rose +20.5% vs May (2.48%).
  • Sep 2025 surged +26.4% vs Aug to the period high (2.92%).

Comparison with the global baseline

  • Level comparison: GB E-commerce outperformed the global baseline in every month. The average spread was roughly +0.37 percentage points (2.18% vs 1.81%), placing the selected market “above market.”
  • Peaks and troughs:
  • Peak comparison: 2.92% (GB E-commerce) vs 2.12% (global) in Sep 2025 — about 38% higher than the global peak.
  • Trough comparison: GB E-commerce never fell below 1.83%, while the global series reached 1.67% in Feb 2025.
  • Trend slope: The global baseline climbed steadily from its February low to September (+26% from Feb to Sep), whereas GB E-commerce showed bigger swings and a stronger late-summer acceleration.

Seasonality and pattern recognition

  • Late Q4 softness: GB E-commerce dipped from October into November, with only a slight December uptick, indicating muted click-throughs during the holiday period in this dataset.
  • Spring/summer build: A recovery began in February, with elevated levels through June–July and a minor August dip.
  • September surge: Both series ended higher in September, with GB E-commerce spiking more sharply than the global average.

Understanding click-through-rate benchmarks on Facebook Ads in industry E-commerce and Great Britain helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. In the E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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. 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. 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 is CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.