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Facebook Ads Cost Per Purchase Benchmarks for Healthcare

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Cost Per Purchase for Healthcare

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

The headline: acquiring a purchase in Healthcare is expensive and choppy when viewed across all countries. Facebook Ads cost-per-purchase (CPP) for Healthcare ran at roughly double the global cross‑industry benchmark through 2025, with a steep early‑year peak, a mid‑year correction, and a late‑summer flare‑up before settling into lower-but-still‑elevated levels. Volatility was a defining feature, with sharper month‑to‑month swings than the broader market.

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 Healthcare in all countries compared to the global benchmark.

The story in the data

Healthcare CPP began the year at $129.63 in January, climbed to a high of $138.29 in February, and ended at $97.28 in December. The annual low hit in July at $84.78. Across the year, Healthcare averaged $108.16 per purchase, spanning a $53.51 range between peak and trough—about half of the annual average, underscoring meaningful fluctuation.

Momentum-wise, the biggest drops were March to April (−$31.94, −26%) and May to June (−$19.88, −18%). The standout rebound came in August, jumping +$41.91 from July (+49%) before easing back in September (−22%). From the February peak to the July low, CPP compressed by 39%, and from January to December, it declined 25%.

Volatility averaged $16.59 in absolute month‑to‑month movement. By comparison, the global benchmark’s average CPP was $51.40 with just $1.77 average monthly movement—making Healthcare roughly 9x more volatile than the market baseline.

Seasonal and monthly dynamics

Quarterly cadence shows the arc clearly:

  • Q1 was the costliest stretch (avg $130.86), with February at the top.
  • Q2 cooled sharply (avg $98.12) as April and June posted some of the year’s lowest levels.
  • Q3 stabilized around $103.43 but included August’s pronounced spike.
  • Q4 held near $100.25, gliding from $105.32 in October to $97.28 in December.

In other words, Healthcare’s CPP typically softened after Q1, rebounded late summer, and finished the year below early‑year highs. While Q4 often sees competitive pressure in broader CPM analysis, Healthcare CPP remained well under its Q1 levels in this dataset.

Country vs. Global

Relative to the global cross‑industry benchmark, Healthcare ran consistently above market. The annual average was about 2.1x higher ($108 vs. $51). The gap was widest in February (2.52x) and narrowest in July (1.72x); most months fell between 1.8x and 2.4x. The global trend drifted down −15% from January to December, while Healthcare fell by a steeper −25%. Notably, the baseline moved smoothly with limited variance, whereas Healthcare’s CPP exhibited frequent and larger swings.

Closing

Viewed through Facebook Ads benchmarks, Healthcare’s cost-per-purchase across all countries in 2025 was high, variable, and persistently above the global cross‑industry average. While CPC trends and CTR performance shape funnel dynamics and CPM analysis defines auction pressure, CPP puts a price tag on conversion. Understanding cost-per-purchase benchmarks for Healthcare across all countries helps advertisers evaluate acquisition costs in context and compare performance to global patterns.

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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.