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Facebook Ads Cost Per App Install Benchmarks for HR & Staffing

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Cost Per App Install for HR & Staffing

August 2025 - August 2026

Insights

Detailed observation of presented data

Introduction

The main story: cost-per-app-install (CPI) for HR & Staffing tracked a low, steady band for much of the 13-month window before erupting into two distinct spikes — a February surge and an extreme July windup. Overall the series is centered below many high-market outliers until July 2026, when a dramatic jump pushes the metric far above prior levels. 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 HR & Staffing across all countries in our dataset compared to the global benchmark.

The story in the data

The series begins at about $9.95 per install in July 2025 and closes at $96.91 in July 2026 — an increase of roughly +875% from start to finish. Across the period the median CPI averaged about $21.84. The low point was $9.36 in December 2025; the highest single month was $96.91 in July 2026 (more than 10x the December trough). Aside from that extreme, the next-highest month was February 2026 at $30.13, and most months sat in a $9.4–$19.5 window.

Month-to-month movement highlights the volatility: December’s trough at $9.36 followed a moderate Q4 pullback, then January moved back to $12.83 and February spiked +135% to $30.13. March retraced to $16.61, and the series hovered in the mid-teens through June before the July 2026 leap of roughly +556% from June ($14.77 → $96.91). Measured dispersion (standard deviation) across all months is about $22.2 — dominated by the July outlier; excluding July, volatility tightens to roughly $8.1.

Seasonal and monthly dynamics

There’s a visible Q4 dip: October–December moved from about $16.43 down to $9.36, producing the lowest seasonal reading in December. Early Q1 shows a rebound pattern with January rising to ~$12.83 and February producing an isolated spike. Spring months (March–May) settle back into mid-teens, with a modest uptick in April ($19.46) before a quiet early summer. The rhythm is punctuated rather than gradual — two abrupt spikes rather than steady seasonal escalation.

Country vs. Global

Because this series represents HR & Staffing across all countries in the dataset, it functions as the global benchmark for the industry in this window. Relative phrasing: the HR & Staffing cost-per-app-install trend is mostly below what many high-cost geographies or competitive verticals report for CPI, until July when it moves well above typical global medians. Volatility is episodic — “more volatile” in months with campaign shocks (February, July) but otherwise “below average” relative to peak-market extremes observed elsewhere in the dataset.

Understanding cost-per-app-install benchmarks for HR & Staffing across all countries provides a clear picture of industry ad performance and country-specific ad cost rhythms within broader Facebook Ads benchmarks, useful for comparing CPC trends, CPM analysis and CTR performance context for HR & Staffing across all countries available.

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 HR & Staffing 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.