Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Healthcare

See how your app install costs compare. Explore mobile acquisition cost benchmarks by industry, region, and platform

Cost Per App Install for Healthcare

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Across all available countries in Healthcare, cost per app install ran 122% above the global benchmark on average over the period observed.
  • The selected series was highly volatile, with an average month‑to‑month change of about 228%, driven by a May 2025 spike; the global baseline’s volatility was far lower at roughly 66%.
  • Seasonality was mixed: the selected series dipped in November, rose into December and January, and surged in May; the global trend showed a November lift and a June peak.
  • Overall trajectory was upward: Healthcare rose 301% from October 2024 to July 2025, versus a 99% increase for the global baseline.

This analysis looks at cost per app install trends for industry Healthcare and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Selected Healthcare trend highlights (all countries)

  • Average: 25.30 per install across Oct 2024–Jul 2025 (median values by month).
  • High/low: Peak in May 2025 at 101.94; trough in November 2024 at 5.94. Range of 96.00.
  • Momentum: From 8.19 in October 2024 to 32.83 in July 2025 (+301%).
  • Notable moves:
  • Nov 2024 fell 27.5% vs Oct, then Dec rose 115.6%.
  • Jan 2025 jumped 182.0% to 36.11.
  • Apr 2025 dropped 53.9% from March to 6.74.
  • May 2025 spiked to 101.94 (+1,413% m/m), then June fell 84.6%; July rebounded +109.4%.
  • Volatility: Average absolute month‑to‑month change ≈ 228%, signposting substantial swings concentrated around spring/summer.

Comparison with the global baseline

  • Baseline average: 11.41 per install (Oct 2024–Jul 2025).
  • Baseline high/low: High in June 2025 at 26.21; low in October 2024 at 6.20.
  • Baseline momentum: From 6.20 in October 2024 to 12.35 in July 2025 (+99%).
  • Relative positioning:
  • Healthcare was above market in 7 of 10 months (Oct, Dec, Jan, Feb, Mar, May, Jul).
  • Largest premium in May 2025: 101.94 vs 10.43 globally (roughly 10× above market).
  • Below market in Nov 2024 (5.94 vs 14.28), Apr 2025 (6.74 vs 11.51), and Jun 2025 (15.67 vs 26.21; ~40% lower).
  • Volatility: Baseline average absolute month‑to‑month change ≈ 66%, indicating steadier movements than the selected series.

Seasonality and patterning

  • Q4: The selected Healthcare series dipped in November and ticked up in December, whereas the global series showed a clear November lift before easing in December.
  • New year: Healthcare rose sharply in January, outpacing the baseline.
  • Late spring/early summer: A pronounced Healthcare spike in May contrasts with the global peak occurring in June.

Bottom line

Over the observed months, Healthcare (all countries) shows higher average costs, sharper spikes, and greater volatility than the global benchmark—clearly above market most of the time. Understanding cost per app install benchmarks on Facebook Ads in industry Healthcare and All countries available 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. 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 good CPI for iOS vs Android in 2025?

iOS CPIs often range from $2 to $5 or more. Android is usually cheaper, between $1 and $3. Your CPI will depend on geo, creative, and optimization goal.

Why is my app install cost higher in some countries?

Some regions like the US, UK, and Canada have higher competition and stricter privacy regulations, which drive up costs. Countries with lower purchasing power typically have cheaper CPIs.

What creatives drive the lowest CPI on Facebook?

Short videos showing app benefits, UGC-style content, and localized messaging tend to perform best. Clear CTAs and fast-paced visuals help lower your CPI.

Should I optimize for installs or in-app actions?

Optimizing for installs gets volume, but optimizing for actions like signups or purchases brings higher quality users. It depends on your goals and how much post-install behavior matters.

How do I lower CPI without tanking app retention or quality?

Align your creative with the app experience, avoid misleading ads, and exclude users who already installed. You can also test lookalike audiences based on high-quality users, not just all installers.