Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Finance in Germany

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

Cost Per App Install for Finance in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, Finance app-install costs in Germany ran above market in Q4 2024, then shifted below the global baseline from January 2025 onward.
  • The Germany series peaked in November and then normalized quickly, with a 38% drop from October to April and relatively low month-to-month volatility thereafter.
  • The global baseline was more volatile overall and ended April much higher than it began (up 86%), highlighting stronger swings outside Germany.
  • Seasonal patterns are clear: costs rose into November (holiday period) before easing in January; the global series also shows later 2025 inflation.

Scope

This analysis looks at cost per app install trends for industry Finance and target country Germany compared to the global trend. We focus on overlapping months (Oct 2024–Apr 2025) to ensure a like-for-like comparison.

Germany Finance trend summary (selected data)

  • Average (Oct–Apr): 9.41 per install
  • High/low: 18.14 (Nov 2024) / 5.34 (Feb 2025); range = 12.80
  • Start to end: 10.02 (Oct) → 6.21 (Apr), down 38%
  • Volatility: average absolute month-to-month change ≈ 31%
  • Pattern: pronounced Q4 spike (Oct 10.02 → Nov 18.14 → Dec 14.03), then a sharp correction in January (6.02) and stabilization around 6.1–6.2 in March–April
  • Quarterly view:
  • Q4 2024 average: 14.06
  • Jan–Apr 2025 average: 5.92 (≈58% lower than Q4), indicating rapid normalization after the holidays
  • Notable movements:
  • Biggest jump: Oct → Nov (+81%)
  • Biggest drop: Dec → Jan (−57%)
  • Lowest point: Feb (5.34)

Comparison with the global baseline

  • Averages: Germany 9.41 vs global 9.30 (+1% above market overall, Oct–Apr)
  • High/low (Oct–Apr): Global 14.28 (Nov) / 6.20 (Oct); range = 8.09 vs Germany’s wider 12.80
  • Volatility: Global ≈ 64% average absolute month-to-month change vs Germany’s ≈ 31% (Germany notably steadier after January)
  • Start to end: Global 6.20 (Oct) → 11.51 (Apr), up 86% vs Germany’s 38% decline
  • Month-by-month positioning:
  • Oct: Germany +62% above global
  • Nov: +27% above
  • Dec: +65% above
  • Jan: −5% below
  • Feb: −53% below
  • Mar: −11% below
  • Apr: −46% below
  • Seasonal lens:
  • Q4 2024: Germany average 14.06 vs global 9.67 (+46% above market)
  • Jan–Apr 2025: Germany 5.92 vs global 9.03 (−34% below market)

Seasonal and timeline notes

  • Both series show elevated costs around the holiday period, peaking in November.
  • Germany’s Finance costs normalized quickly in early 2025 and stayed tight around 6.1–6.2 by March–April, while the global series remained choppier and ended April elevated.
  • Outside the comparison window, the global baseline rises sharply in mid–late 2025, signaling broader market inflation later in the year.

Understanding cost per app install benchmarks on Facebook Ads in Finance 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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.