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Facebook Ads Cost Per App Install Benchmarks in Germany

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Cost Per App Install in Germany

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

Germany’s app install costs moved on a very different track from the global benchmark: generally low and stable through most months, punctuated by a single, extreme surge in May 2025. Outside of that spike, Germany’s costs sat well below the global median, with a soft Q4 and a sharp reset at the start of 2026. 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 all industries in Germany compared to the global benchmark.

The story in the data

Germany started 2025 with a median cost per app install of 2.88 and ended January 2026 at 0.56, an 81% decline from the starting point. The standout high was May 2025 at 164.20, more than 13 times the global median that month. Beyond May, the next highest point came in June (12.38) before costs reset into a narrower 2–6 range: July (2.90), August (3.42), September (3.95), and a brief trough in October–November (1.87 and 1.62). December rebounded to 5.92 before the January 2026 low of 0.56.

Averages underline the distortion. Including May, Germany’s 13‑month average lands at 16.43; excluding May’s outlier, the typical run rate is 4.12. Monthly volatility tells a similar story: average absolute month‑to‑month movement was 28.09 points across the year, but just 2.71 when excluding the May surge and unwind—showing a generally steady market with one exceptional deviation.

Globally, median costs averaged 13.58 across the same period, with a low of 7.10 in January 2025 and a high of 23.76 in June. From January 2025 to January 2026, the global level roughly doubled to 15.39, while Germany trended down to its period low.

Seasonal and monthly dynamics

Germany’s rhythm without the May event shows a measured lift through early spring (2.16 in February to 6.02 in April), a moderate June, and then a steady summer settling around the mid‑3s (Q3 average: 3.42). Q4 softened further (October–November averaged 1.74), before a December bounce (5.92) and an unusually soft January 2026 (0.56). Globally, performance typically elevates into mid‑year, peaking in June, and remains comparatively firm through Q4, with some relief in December.

Germany vs. Global

Germany sat below market in most months by wide margins—typically 40–90% under the global benchmark. The gap was narrowest in March 2025 (36% below at 5.74 vs. 8.92 globally) and widest in January 2026 (96% below at 0.56 vs. 15.39). May 2025 was the exception: Germany’s cost per app install spiked to 164.20, over 13x the global level of 12.32. On average, Germany’s “typical” level (4.12 excluding May) trailed the global 13.58 median, and its regular month‑to‑month volatility (2.71) was lower than the global pace (4.50), aside from the May shock.

Closing

In short, Facebook Ads benchmarks for cost per app install across all industries in Germany point to a consistently below‑market cost profile with one anomalous surge in May 2025, softer levels through Q4, and a low start to 2026. Understanding cost‑per‑install patterns within country‑specific ad costs—alongside broader CPC trends, CPM analysis, and CTR performance—helps compare industry ad performance in Germany against global norms.

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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.

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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.

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.