Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Healthcare in Germany

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

Cost Per App Install for Healthcare in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per app install benchmarks: Healthcare in Germany vs global

  • This analysis looks at cost per app install trends for industry Healthcare and target country Germany compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No in-scope observations were available for Healthcare in Germany in the selected period, so the comparison to the global baseline cannot be computed. The global series offers a directional reference for context.
  • Global costs averaged 12.67 across the last 12 months, with a low of 6.20 (October 2024) and a high of 26.21 (June 2025). The series ended at 22.99 in September 2025, up 271% from October 2024.
  • Seasonality is visible: a Q4 run-up into November, a reset in January–March, and a sharp Q2–Q3 surge led by June and September.
  • Volatility was pronounced, with an average month-to-month absolute change of 6.50; the largest jump occurred from May to June (+15.78), followed by a sharp pullback in July (−13.86).

Scope and data availability

  • Selected segment: Healthcare industry in Germany (DE).
  • Selected data: no monthly medians available for the period provided, so within-segment averages, highs/lows, and volatility cannot be reported.
  • Baseline: global median cost per app install by month, used here as the benchmark.

Global benchmark overview (directional context)

  • Average across the period: 12.67
  • High: 26.21 in June 2025
  • Low: 6.20 in October 2024
  • First to last month change: from 6.20 (Oct 2024) to 22.99 (Sep 2025), a +271% increase
  • Notable spikes and dips:
  • November 2024 rose to 14.28 (+131% vs October), then eased in December (8.52) and January (6.36)
  • Strong lift in February and April (11.36 and 11.51) after early Q1 lows
  • Major spike in June (26.21), then a correction in July (12.35) before climbing again in September (22.99)
  • Volatility:
  • Average absolute month-over-month change: 6.50
  • Largest increase: May → June (+15.78)
  • Largest decrease: June → July (−13.86)
  • 4 of 12 months sat above the 12-month average (notably November, June, August, September)

Seasonality patterns

  • Q4: Costs typically increase around holidays; here, November 2024 was markedly higher than October, though December cooled.
  • Q1: Reset to lower levels in January–March, consistent with post-holiday rebalancing.
  • Mid-year: Elevated costs in June and again in late Q3 (September), indicating strong competitive pressure in these windows.

Relative positioning vs global

  • Due to the absence of Healthcare-in-Germany observations, relative positioning (“above market,” “below average,” “in line with overall trends”) cannot be determined for the selected segment. The global series should be treated as a directional benchmark until in-segment data becomes available.

Understanding cost per app install benchmarks on Facebook Ads in Healthcare and Germany 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 Germany, advertisers should consider local market factors and user behavior. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.

Germany Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday
Apr 21Easter Monday
May 1Labour Day
May 29Ascension Day
Jun 9Whit Monday
Oct 3German Unity Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Cyber Monday), Christmas shopping (late December), Back-to-school (August/September), Spring promotions (Easter period)

Potential Advertising Impact

Media consumption might rise during Easter, Ascension Day, and Pentecost, especially for travel campaigns. Late November and December bring pronounced spikes in retail advertising. German Unity Day often triggers localized campaigns. Regional holidays may create unique local competition. Sunday/holiday retail restrictions may contract ad inventory.

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.