Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Public Safety

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

Cost Per App Install for Public Safety

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • This analysis looks at cost-per-app-install trends for industry Public Safety 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 segment data points were available for Public Safety across all countries in the provided period, so direct comparison to the global baseline cannot be computed.
  • The global baseline shows a clear rise over the year: average $12.67, median $11.44, low $6.20 (October 2024), and high $26.21 (June 2025). Costs increased 271% from October 2024 to September 2025.
  • Volatility is elevated, with an average month-to-month absolute change of about $6.50, highlighted by a sharp June spike and July correction.
  • Seasonal signals are visible: a November jump likely tied to peak shopping periods, softer costs in January–March, and a notable ramp in late Q2 through Q3.

About this analysis

  • Metric: cost-per-app-install
  • Industry: Public Safety
  • Country: All countries available
  • Baseline: global benchmark across all industries and countries

Global baseline overview

  • Average: $12.67; median: $11.44
  • High: $26.21 in June 2025
  • Low: $6.20 in October 2024
  • First-to-last change: from $6.20 (Oct 2024) to $22.99 (Sep 2025), up 271%
  • Volatility (average absolute month-to-month change): ~$6.50
  • Notable movements:
  • November 2024: +$8.09 vs October (to $14.28)
  • June 2025: +$15.78 vs May (to $26.21), the largest monthly increase
  • July 2025: -$13.86 vs June, the sharpest pullback
  • September 2025: +$7.99 vs August (to $22.99)

Seasonal patterns

  • Q4 uplift: pronounced spike in November, indicating tighter auctions around major retail events.
  • Early-year softness: January–March hover in the $6.36–$8.52 range, below the annual average.
  • Mid-year escalation: April–June climb sharply, peaking in June; late Q3 (September) remains elevated ahead of Q4.

Selected segment: Public Safety in all available countries

  • Data availability: No monthly observations were provided for the selected segment during this period.
  • Relative positioning: Because the Public Safety time series is empty, we cannot determine whether the segment is above market, below average, or in line with overall trends.
  • Benchmark reference: In the absence of segment data, the global baseline serves as the directional benchmark for Facebook Ads cost-per-app-install.

Understanding cost-per-app-install benchmarks on Facebook Ads in industry Public Safety 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 Public Safety 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.