Compare mobile acquisition cost benchmarks by industry, region, and platform.
October 2025 - September 2026
Benchmark observations based on the selected data
Germany’s cost-per-app-install story is a lower-cost, bumpy ride compared with the global benchmark. Over the July 2025–June 2026 window, median Cost Per App Install (CPI) in Germany averaged about $8.50, materially below the global median of roughly $15.60 — but the path was marked by a very low trough in autumn and a sharp spike into late 2025. Volatility was meaningful: absolute swings were smaller than the global benchmark, yet relative to its own mean Germany showed larger percentage swings month to month. 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.
Germany began the period at a low CPI of $2.90 in July 2025 and closed at $7.63 in June 2026 — a net rise of about 164% from start to finish. The 12‑month average CPI for All industries in Germany was approximately $8.5. The highest median in the period was $13.18 in November 2025; the lowest was $1.87 in October 2025. That October-to-November swing was dramatic: CPI jumped roughly 606% month over month. Compared to the global baseline, Germany ran below the market most months; the global 12‑month median across the same window was about $15.6. Germany’s CPI was 45% lower than the global benchmark on average.
Germany’s monthly dispersion (population standard deviation) was about $3.6, which is sizable relative to its mean (coefficient of variation ≈ 43%). The global series showed a larger absolute standard deviation (~$5.2) but a smaller relative dispersion (CV ≈ 33%), so Germany’s CPI profile reads as “lower cost but more percentage-wise erratic.” Notable single-month movements include the deep October trough ($1.87), the subsequent November peak ($13.18), and the February 2026 global spike in thebenchmark (global median rose to ~$30.13) that widened gaps between Germany and the baseline.
A seasonal rhythm is visible. Late Q3 and October showed soft CPIs in Germany (July–October medians clustered on the low side), followed by a sharp lift into November and sustained elevated levels through early spring. December bucked the usual holiday compression pattern for this dataset: Germany’s December median ($10.90) actually exceeded the global December median (~$9.36). February 2026 stands out in the global series as an extraordinary spike (global CPI ~ $30.13), while Germany rose but to a much lower peak (~$12.70). Through Q2 the series generally cooled from the spring highs but remained above the midsummer lows.
Across months Germany ran below the global CPI in 10 of 12 months; the narrowest gap occurred in November 2025 when Germany’s $13.18 was about 11% below the global $14.86. Germany exceeded the global median only in December 2025 (Germany ~ $10.90 vs. global ~ $9.36, about 17% higher). The widest gap was in October 2025: Germany’s $1.87 was roughly 89% below the global $16.43. Where the global trend showed a large February surge (+~135% versus the prior month), Germany’s February increase was far smaller in absolute and relative terms, leaving Germany closer to but still under the inflated global level.
Understanding Cost Per App Install benchmarks for All industries in Germany — and how they compare to global Facebook Ads benchmarks, CPC trends and broader CPM analysis — helps quantify seasonality and country-specific ad costs for industry ad performance comparisons in Germany.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting Germany, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPI values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
Analyze Facebook ad performance
See which ads, audiences, and creatives drive results.
Spot creative patterns that affect ROAS.
Create reports without spreadsheets.
The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
Late November (Black Friday/Cyber Monday), Christmas shopping (late December), Back-to-school (August/September), Spring promotions (Easter period)
Media consumption may rise during Easter, Ascension Day, and Pentecost, especially for travel campaigns. Retail advertising increases in late November and December. German Unity Day often prompts local campaigns. Regional holidays may create local competition. Sunday and holiday retail restrictions may reduce ad inventory.
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.
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.
Short videos that show app benefits, UGC-style content, and localized messaging tend to perform best. Clear CTAs and fast-paced visuals can lower CPI.
Optimizing for installs increases volume. Optimizing for actions such as signups or purchases brings higher-quality users. Choose based on your goals and the importance of post-install behavior.
Align creative with the app experience, avoid misleading ads, and exclude people who already installed. Test lookalike audiences based on high-quality users rather than all installers.
Compare cost benchmarks for Facebook advertising metrics.
Cost per click benchmarks across industries
Cost per thousand impressions across markets
Click-through rate benchmarks for Facebook Ads
Cost per lead benchmarks across markets
Cost per purchase benchmarks across industries
App install cost benchmarks