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Facebook Ads Cost Per App Install Benchmarks for Consulting

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Cost Per App Install for Consulting

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

The global story for cost per app install in Consulting reads like a swoop: a sharp slide into early Q1, a dramatic June spike, and an elevated plateau through late Q3 and into Q4—ultimately closing the year almost exactly where it began. Volatility was meaningful, with several double‑digit percentage swings month to month, and June standing out as the clear outlier. 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 across all countries compared to the global benchmark.

The story in the data

The period opens at 17.55 in November 2024 and ends at 17.18 in November 2025—essentially flat over 12 months (−2%). The global median averages 15.9 across the window, spanning a low of 7.22 in January 2025 and a high of 27.90 in June 2025. That 20.68‑point spread means peak costs were nearly 3.9× the trough.

Momentum was choppy:

  • Nov → Dec fell 28% (17.55 to 12.61); Dec → Jan dropped another 43% to the yearly low.
  • A rebound followed: Jan → Feb jumped 78% to 12.87, then softened in March (−29%) before rising again in April (+61%).
  • The defining move came in June, soaring +132% from May (12.05 to 27.90)—the period’s largest monthly increase.
  • July corrected hard (−56% to 12.24), after which costs climbed into late Q3: August to September added +14% (19.88 to 22.72) before easing into Q4 (20.72 in October and 17.18 in November).

On average, absolute month‑over‑month movement was roughly 6.3 points, underscoring a market with frequent and sizable swings.

Seasonal and monthly dynamics

Seasonality is clear in the Consulting CPI curve across all countries:

  • Q1 2025 marked the trough, averaging about 9.4, anchored by January’s low.
  • Q2 averaged roughly 18.2, lifted by the outsized June surge.
  • Q3 held steady at about 18.3, reflecting sustained competition and steady demand.
  • Q4 to date (October–November) remained elevated at ~19.0, higher than Q1 by roughly 2×, and consistent with patterns where year‑end competition lifts country‑specific ad costs.

The rhythm is a classic soft‑start, mid‑year crest, late‑year firmness—an arc familiar in Facebook Ads benchmarks even as CPC trends, CPM analysis, and CTR performance move on their own tracks.

Country vs. Global

For this view, the Consulting series is aggregated across all countries while the available comparison is the global benchmark. As a result, the two move in lockstep and the gap effectively compresses to zero throughout the period. The June spike, Q1 softness, and late‑year stability characterize both series identically, and volatility matches the market baseline.

Closing

Overall, Facebook Ads benchmarks for cost per app install in the Consulting industry across all countries show a deep Q1 trough, a June peak, and an elevated back half, averaging 15.9 with an average monthly swing of about 6.3 points. Understanding cost per app install benchmarks for the Consulting industry across all countries helps teams contextualize country‑specific ad costs and compare industry ad performance to global patterns.

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.