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Facebook Ads Cost Per App Install Benchmarks for Consulting

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Cost Per App Install for Consulting

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction

Big-picture: the Cost Per App Install (CPI) series for Consulting — across All countries available — shows a mostly moderate baseline through 2025 with two pronounced disruptions in early 2026 and a dramatic spike in July 2026. 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 Consulting in All countries available compared to the global benchmark.

The story in the data

Across 13 months (Jul 2025–Jul 2026) the baseline CPI averaged about $21.8 per install, with a median of roughly $14.9 — a clear sign that the mean is pulled upward by large spikes. The series began at $9.95 in July 2025, drifted into the mid-teens through fall, hit a trough of $9.36 in December 2025, then jumped to $30.13 in February 2026. After a partial retreat into spring (around $14–$19), the series exploded to a year-high $96.91 in July 2026 — roughly a 9.7x increase from the July 2025 starting point and a ~557% month-over-month lift from June to July 2026. Aside from that July outlier, the next-largest peak was February 2026 at ~$30.13.

Volatility is notable: average absolute month-to-month movement was about $11.5, but that figure is skewed by the July 2026 surge. Excluding July’s jump, average monthly absolute change falls to about $5.1. Measured as percent moves, the average absolute month-over-month swing was roughly 77% including the July spike and about 33% when excluding it — underscoring how two discrete shocks (Feb and Jul 2026) drive most dispersion.

Seasonal and monthly dynamics

Seasonal rhythm is visible. Late summer into early fall 2025 saw a steady climb from roughly $10 to mid-teens; Q4 softened, reaching the year’s low in December 2025. Early 2026 produced a sharp spike in February, then a retracement through March–May, where CPIs sat in the low-to-mid teens again. The most anomalous movement is July 2026, which breaks any seasonal expectation and stands apart as an extreme outlier.

This cadence—softer late Q4 followed by an early-year jump and then a volatile spring—creates a stop-start feel across the 12-month run, with headline risk concentrated in two months rather than a persistent upward trend.

Country vs. Global

Because this dataset is presented as the global baseline for Consulting across All countries available, the series effectively *is* the global benchmark in this view. The pattern shows periods “below average” (sub-$15 CPIs through parts of 2025 and spring 2026) punctuated by months that sit well above the typical range (Feb and Jul 2026). On balance the mean is elevated relative to the median, indicating the global CPI distribution is right-skewed by episodic spikes. In volatility terms, the global benchmark here swings from modest month-to-month moves into explosive increases during outlier months.

Closing

Understanding Facebook Ads Cost Per App Install benchmarks for Consulting in All countries available clarifies how CPI trends, CPC trends, CPM analysis, and country-specific ad costs can behave when industry ad performance is punctuated by large, infrequent shocks in the global dataset.

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 Consulting 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.