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August 2025 - August 2026
Detailed observation of presented data
Healthcare cost-per-purchase moved through a year of build, peak and a sharp end-of-series pullback — consistently above the global benchmark. 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 available compared to the global benchmark.
Across the 13-month window (Jul 2025 → Jul 2026) Healthcare (All countries) averaged about $112 per purchase. It began at $92.93 in July 2025, climbed into a sustained early‑2026 run, peaked at $149.36 in April 2026, and finished at $54.01 in July 2026 — a net decline of roughly 42% from the starting point. The series high ($149) sat nearly three times the baseline in that month; the low ($54) arrived at the end of the series.
By contrast, the baseline (global) median averaged about $47.6 per purchase. The baseline peaked near $56 in March 2026 and troughed at $19.69 in July 2026. Over the full window Healthcare costs were roughly 2.36× the baseline on average (about +136% above global levels).
Month-to-month dynamics show notable swings: the single largest one‑month increase for Healthcare was about +30% (Jul→Aug 2025), while the largest collapse was −57% (Jun→Jul 2026). Average month‑to‑month absolute change in Healthcare cost per purchase was ~15.3%, compared with ~10.1% for the global baseline — indicating materially higher volatility.
The rhythm shows a rise from late Q3 2025 into Q1–Q2 2026, with Healthcare climbing through winter into a spring peak (Jan→Apr). Late Q4 (Nov–Dec 2025) registered modest uplift after a dip, while the spring months (Feb–Apr 2026) produced the highest sustained costs. The series ends with a pronounced mid-summer decline: a collapse from $125–$149 levels in May–June to roughly $54 in July 2026. The global baseline mirrors the end‑of‑series trough, suggesting a broad seasonal or market-level reset in July.
Across every month Healthcare (All countries) ran above the global benchmark. The narrowest gap occurred in July 2025, where Healthcare was about 89% above the global median. The widest gap appeared in April 2026, when Healthcare sat roughly 200% above the baseline (nearly triple). On average Healthcare’s cost per purchase remained +136% versus the global benchmark and exhibited roughly 50% greater month‑to‑month volatility.
Understanding Cost Per Purchase benchmarks for Healthcare across All countries available helps frame Facebook Ads benchmarks, CPC trends and broader CPM analysis when comparing industry ad performance and country-specific ad costs.
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.
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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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.
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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