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Facebook Ads Cost Per App Install Benchmarks in Germany

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Cost Per App Install in Germany

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Cost per App Install (CPI) for all industries in Germany tracked far below the global Facebook Ads benchmarks for most of 2025, punctuated by a single pricing shock in May. Outside that spike, Germany’s country-specific ad costs were consistently low and relatively stable, with softer levels in Q3 and a typical year-end bump in December. In contrast, the global baseline climbed into mid-year and stayed elevated through early Q4.

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 began 2025 with a CPI of 2.88 in January and ended at 6.88 in December. The year’s low landed in November at 1.62, while the high surged to 164.20 in May. That May spike pulls Germany’s full-year average up to 17.83; however, the median month reads very differently: the year’s monthly median sits around 3.69, reflecting a typical operating range of roughly 2–7 outside the anomaly.

Month-to-month movement underscores the one-off nature of the shock: CPI rose steadily from February (2.16) through April (6.02), then spiked in May (164.20) before rapidly normalizing in June (12.38) and dropping back to low single digits by July (2.90). From August through November, costs hovered between 1.62 and 3.95 before a December rebound to 6.88, consistent with late Q4 competition.

Volatility averaged 30.25 points per month across the year, heavily influenced by the May surge and June unwind. Excluding the May–July whipsaw, underlying month-to-month volatility averaged about 1.65 points—noticeably smoother than the global pattern.

Seasonal and monthly dynamics

Germany’s CPI profile was subdued across Q1 (average 3.59) and Q3 (3.42), with similarly modest levels in Q4 when excluding December (October 1.87, November 1.62). December showed a clear lift to 6.88, consistent with intensified auction pressure late in the holiday period. Q2 was bifurcated: April’s mild 6.02, May’s severe spike, and June’s partial normalization at 12.38.

The global rhythm was more classically seasonal. The global baseline averaged 9.21 in Q1, accelerated sharply in Q2 to 16.53 with a June high of 23.76, stayed elevated through Q3 at 14.31, and remained high into Q4 at 13.44 before cooling slightly in December (9.32). In short, while CPC trends and CPM analysis typically show Q4 pressure, CPI performance globally peaked earlier—Germany’s May spike aside.

Country vs. Global

Germany’s CPI trailed the global Facebook Ads benchmarks in 11 of 12 months. Typical gaps ranged from 55% to 89% below market: January (−59%), April (−55%), August (−79%), October (−89%), and November (−89%). The narrowest gap came in December, when Germany was 26% below the global level. The lone outlier was May, when Germany’s CPI ran roughly 13× above the global median (164.20 vs. 12.32). Globally, average month-to-month volatility was about 4.57 points; Germany’s baseline was calmer in ordinary months but dominated by the May shock in the headline average.

Closing

In summary, Facebook Ads cost-per-app-install benchmarks for all industries in Germany were consistently below the global baseline in 2025, with a singular May surge and a year-end lift. Understanding CPI trends and country-specific ad costs for Germany helps contextualize industry ad performance against global patterns and sets a realistic frame for CPI and CTR performance comparisons across markets.

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.