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Facebook Ads Cost Per Purchase Benchmarks for Healthcare in United Kingdom

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Cost Per Purchase for Healthcare in United Kingdom

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • This analysis looks at cost per purchase trends for industry Healthcare and target country Great Britain compared to the global trend.
  • Overall level: Great Britain Healthcare ran below market on average (35.04 vs 49.24), about 28.8% cheaper than the global baseline.
  • Volatility: Highly volatile vs the market (average month-to-month move 16.86 vs 2.24; ~7.5x more volatile), driven by a sharp December spike and Q1 normalization.
  • Seasonality: Clear Q4 lift (notably December), followed by declines into March and mixed performance into summer; global benchmarks also rise in Q4–Q1 and soften into summer.

Selected data highlights (Healthcare, Great Britain)

  • Period covered: Oct 2024–Aug 2025.
  • Average: 35.04; median: 36.24.
  • High: 78.63 in December 2024; low: 0.49 in October 2024.
  • First-to-last change: from 0.49 (Oct) to 36.24 (Aug), a +7,340% rise, inflated by the near‑zero October starting point.
  • Notable movements:
  • November to December surged from 0.83 to 78.63 (+77.80 absolute), the standout spike in the series.
  • December to March retraced from 78.63 to 25.16 (−68.0%).
  • April to May climbed 32.8% (30.13 → 40.00); June to July fell 30.1% (38.70 → 27.04); July to August rebounded 34.0% (27.04 → 36.24).
  • Volatility:
  • Average absolute month-to-month change: 16.86 (median 10.77), indicating large swings around the mean.

Global baseline comparison

  • Overlapping period baseline (global): average 49.24; median 50.97.
  • High: 53.89 in February 2025; low: 43.19 in November 2024.
  • First-to-last change (Oct → Aug): −2.1%, a gentle drift lower.
  • Versus market by month:
  • Above market in December 2024 (+52.6% vs baseline) and January 2025 (+16.2%).
  • Below market in the remaining months, typically −18% to −52% from March through August.
  • Volatility:
  • Average absolute month-to-month move: 2.24 (median 1.16), far steadier than the selected data.

Seasonal patterns and trend context

  • Q4 seasonality: Both series show higher costs into year-end, with a pronounced December spike for Great Britain Healthcare (well above the global average that month).
  • Q1 cooling: Great Britain Healthcare declines from December into March, aligning with the broader pattern of post-holiday normalization (the baseline remains elevated into February before easing).
  • Summer softening: The global baseline trends lower into mid-year. Great Britain Healthcare shows a June–July dip with an August rebound, ending below the global level but above its March low.

What this means for benchmarking

Across Oct 2024–Aug 2025, Healthcare in Great Britain is below average on cost per purchase versus the global benchmark, but with substantially higher month-to-month variance and a pronounced December peak followed by normalization. Understanding cost per purchase benchmarks on Facebook Ads in industry Healthcare 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 Healthcare industry, Facebook ad costs can be higher than average due to specialized audience targeting and compliance requirements. 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.