Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for HR & Staffing

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

Cost Per App Install for HR & Staffing

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per app install trends for industry HR & Staffing and target country All countries available compared to the global trend, using the global baseline as the point of reference.
  • The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected HR & Staffing data points were available for the period, so direct “above market/below market” positioning cannot be determined. The global baseline shows wide swings, with an average of $12.67, lows near $6.20, and highs above $26.00.
  • Seasonality is pronounced: a sharp spike in June, a reset in July, and another run-up into September. Q4 shows mixed movement with a November rise and December dip.
  • Volatility is high, with an average month-to-month move of about $6.50 and several 40–150% swings between adjacent months.

What this report covers

  • Metric: cost per app install (CPI)
  • Industry: HR & Staffing
  • Country: All countries available
  • Selected segment contains no data for the time window; global baseline is reported for context.

Global baseline: cost per app install trend

  • Period covered: Oct 2024 to Sep 2025
  • Average CPI: $12.67
  • Low: $6.20 in Oct 2024
  • High: $26.21 in Jun 2025
  • Range: $20.01
  • First-to-last change: from $6.20 (Oct 2024) to $22.99 (Sep 2025), a +271% increase

Notable movements:

  • Oct → Nov: +$8.09 (+131%)
  • Nov → Dec: −$5.76 (−40%)
  • Feb → Mar: −$4.49 (−39%)
  • May → Jun: +$15.78 (+151%) — the sharpest jump
  • Jun → Jul: −$13.86 (−53%)
  • Aug → Sep: +$7.99 (+53%)

Average absolute month-to-month change: ~$6.50, indicating considerable volatility.

Comparison with selected segment

  • The selected HR & Staffing segment across all countries has no available monthly medians for this period.
  • Because of that, a direct comparison (averages, highs/lows, volatility) versus the baseline cannot be computed.
  • As a result, relative positioning (above market, below average, or in line with overall trends) cannot be determined for the selected segment at this time.

Seasonality and volatility

  • Costs typically surge mid-year: a pronounced peak in June followed by a reset in July and another climb into September.
  • Q4 displays mixed behavior: an increase in November followed by a notable December softening, before returning to low levels in January.
  • Overall, the baseline exhibits high variability with multiple large month-to-month swings, emphasizing that app install costs can shift quickly with seasonal demand and auction dynamics.

Why this matters

Even without selected-segment data, the global baseline provides directional context for Facebook Ads benchmarks, including the typical range, volatility, and seasonal spikes in cost per app install. Understanding cost per app install benchmarks on Facebook Ads in industry HR & Staffing 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 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.