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Facebook Ads Cost Per App Install Benchmarks for Real Estate in Germany

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Cost Per App Install for Real Estate in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • No in-market data points were available for Real Estate in Germany during the period, so the selected segment can’t be directly benchmarked. The global baseline offers directional context.
  • Globally, median cost-per-app-install averaged 11.85 over Sep 2024–Sep 2025, peaking at 26.21 in June 2025 and bottoming at 1.98 in September 2024. The period ended at 22.99 in September 2025, up approximately +1,061% from the start.
  • Volatility was high: average month-to-month movement was about 6.31 per install, or roughly 74% in relative terms.
  • Seasonal pattern: a clear lift in November, a pullback in December–January, a sharp mid-year spike in June, and elevated levels again in late Q3.

This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

What we analyzed

This analysis looks at cost-per-app-install trends for industry Real Estate and target country Germany compared to the global trend in Facebook Ads benchmarks.

Selected segment: Real Estate in Germany

  • Data availability: No monthly values were provided for the selected segment, so averages, highs/lows, volatility, and first-to-last changes cannot be calculated for Germany Real Estate in this window.

Global baseline trend

  • Overall (Sep 2024–Sep 2025):
  • Average: 11.85
  • High: 26.21 (June 2025)
  • Low: 1.98 (September 2024)
  • First-to-last change: from 1.98 (Sep 2024) to 22.99 (Sep 2025), +1,061%
  • Volatility: average absolute month-to-month change ≈ 6.31; relative month-to-month change ≈ 74%
  • Seasonality and notable moves:
  • Q4 lift: November 2024 rose to 14.28 from October’s 6.20, followed by a December pullback to 8.52.
  • Early-year softness: January 2025 at 6.36 and March at 6.87 marked local lows; February rebounded to 11.36.
  • Mid-year spike: June 2025 reached the period high of 26.21, then cooled to 12.35 in July.
  • Late Q3 elevation: August climbed to 15.00 and September to 22.99.
  • Segmenting by quarters (directional):
  • Q4 2024 average ≈ 9.67, reflecting the November uplift and December correction.
  • 2025 YTD average (Jan–Sep) ≈ 13.68, indicating higher costs vs. late 2024.

Comparison to the global baseline

  • Because the selected time series for Real Estate in Germany contains no data for this period, it is not possible to determine whether the segment is above market, below average, or in line with overall trends.
  • The global baseline indicates a market characterized by pronounced seasonality (November, June, late Q3) and elevated volatility throughout the period.

Seasonality overview

  • Costs typically rise in Q4 around peak shopping periods (notably November) and can retreat in December–January.
  • A strong mid-year surge was observed in June, with elevated levels resurfacing in late Q3 (August–September).

Understanding cost-per-app-install benchmarks on Facebook Ads in industry Real Estate 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 Real Estate industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.