Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Real Estate

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

Cost Per App Install for Real Estate

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per app install trends for industry Real Estate and target country All countries available compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected Real Estate data points were available in the provided period, so the global baseline serves as the directional benchmark.
  • Global baseline average cost per app install over the period is 11.85, with a median of 11.36. The series is highly volatile, with an average month-to-month absolute change of about 74%.
  • Costs rose sharply from the first to the last month: +1061% from September 2024 (1.98) to September 2025 (22.99).
  • Seasonality is visible: elevated costs in November, a pronounced spike in June, a pullback in July, and another surge in September—consistent with holiday and late-Q3 budget dynamics often seen in Facebook Ads benchmarks.

Scope and framing

This report summarizes cost per app install benchmarks for Real Estate in all countries available versus the global baseline. Because the selected_data series contains no entries for the period, the comparison references the global baseline as a market proxy.

Selected Real Estate data (all countries)

  • No observations were available in the selected dataset for the months shown. As a result, averages, highs/lows, and volatility cannot be computed for the selection in this window.
  • Relative positioning versus the market (above market, below average, or in line) cannot be determined without observations.

Global baseline benchmarks

  • Overall level:
  • Average: 11.85 across 13 months (Sep 2024–Sep 2025)
  • Median: 11.36
  • Low: 1.98 in Sep 2024 (about 83% below the 13‑month average)
  • High: 26.21 in Jun 2025 (about 121% above the 13‑month average)
  • Change from first to last month: +1061% (1.98 to 22.99)
  • Volatility:
  • Average month-to-month absolute change: ~74%
  • Largest single-month increases:
  • Sep→Oct 2024: +213%
  • Oct→Nov 2024: +131%
  • May→Jun 2025: +151%
  • Largest single-month declines:
  • Jun→Jul 2025: −53%
  • Nov→Dec 2024: −40%
  • Feb→Mar 2025: −39%
  • Seasonal patterns:
  • Q4 pattern shows a pronounced November peak (14.28) followed by a December cool-down (8.52).
  • A sharp summer spike appears in June (26.21), followed by a July pullback (12.35).
  • Late-Q3 intensity resurges in September (22.99).

Comparison: selected Real Estate vs. global baseline

  • Due to the absence of selected Real Estate data in the period, a direct numerical comparison is not possible.
  • The global baseline indicates a highly seasonal and volatile market environment for cost per app install, with notable spikes in November, June, and September that marketers commonly observe in Facebook Ads benchmarks.

Understanding cost per app install benchmarks on Facebook Ads in industry Real Estate and all countries available 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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.