Facebook Ads Insights Tool

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

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

Cost Per App Install for Real Estate in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Scope: This analysis looks at cost per app install trends for industry Real Estate in France compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Data availability: No observations are available for Real Estate in France for the provided period, so relative positioning versus the global baseline cannot be calculated.
  • Global baseline level: The global median cost per app install averaged 11.85 over the period, with a median of 11.36.
  • Highs and lows: Global costs ranged from a low of 1.98 (Sep 2024) to a high of 26.21 (Jun 2025), ending at 22.99 (Sep 2025), up roughly +1,062% from the first month.
  • Volatility: The global series was highly volatile, with an average absolute month‑over‑month change of about 74%. Large swings included Oct (+213%), Nov (+131%), Dec (−40%), Jun (+151%), Jul (−53%), and Sep (+53%).
  • Seasonality: A Q4 lift is visible into November, followed by a December–January pullback. The sharpest spike occurred in June, with costs remaining elevated into late summer and September.

About the dataset and scope

  • Metric: cost per app install (median, monthly)
  • Industry: Real Estate
  • Country: France
  • Selected data: No entries for the period provided
  • Baseline: Global (all industries/countries)

Selected trend overview — Real Estate in France

There are no data points for Real Estate in France in the provided window. As a result, averages, highs/lows, percentage change, and volatility measures for the selected segment cannot be computed from this dataset.

Global baseline trend

  • Average level: 11.85 across Sep 2024–Sep 2025; median 11.36.
  • Lows and highs: Low at 1.98 (Sep 2024); high at 26.21 (Jun 2025). Range: 24.23.
  • First-to-last change: From 1.98 (Sep 2024) to 22.99 (Sep 2025), up about +1,062%.
  • Volatility: Average absolute month‑over‑month percentage change of ~73.6%, with 7 monthly increases and 5 decreases.
  • Notable movements:
  • Q4 lift: Oct 6.20 and Nov 14.28, then a dip in Dec to 8.52 and Jan to 6.36.
  • Rebounds: Feb 11.36 and Apr 11.51.
  • Peak: Jun 26.21 (the period high), followed by a pullback in Jul 12.35.
  • Late‑summer/early‑fall: Aug 15.00 and Sep 22.99.

Comparison: Real Estate in France vs. global baseline

  • Relative positioning: Because the selected series has no observations, we cannot classify Real Estate in France as above market, below average, or in line with overall trends.
  • Directional reference: The global baseline provides a reference trajectory characterized by a Q4 uplift into November, a December–January cooldown, a pronounced June spike, and elevated levels into September.

Understanding cost per app install benchmarks on Facebook Ads in industry Real Estate and France 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 France, 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.

France Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday (Alsace & Moselle)
Apr 21Easter Monday
May 1Labour Day
May 8Victory in Europe Day
May 29Ascension Day
Jun 9Whit Monday
Jul 14Bastille Day
Aug 15Assumption Day
Nov 1All Saints' Day
Nov 11Armistice Day
Dec 25Christmas Day
Dec 26Saint Stephen's Day (Alsace & Moselle)

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas & post‑Christmas sales), May–June (spring sales)

Potential Advertising Impact

CPM and CPC might increase during spring holidays when leisure and travel campaigns see higher engagement. Extended 'ponts' (bridge days) in May could create long weekends with lower weekday ad inventory. Late November and December feature steep increases in ad competition. Christmas season may drive peak ad volumes.

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.