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Facebook Ads Cost Per App Install Benchmarks for Arts

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Cost Per App Install for Arts

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction

The main story: global Cost Per App Install (CPI) moved from a mid‑teens level in mid‑2025 to a lower point by June 2026, punctuated by a dramatic February 2026 spike. 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 Arts in All countries (global aggregate) compared to the global benchmark. Note: industry-country specific monthly series for Arts × All countries was not provided separately; the baseline series below therefore represents the observable global CPI trend for the period.

The story in the data

Across the 13 months measured (June 2025–June 2026), the baseline Cost Per App Install averaged about $15.6, with a median of roughly $14.9. The series began at $18.36 in June 2025 and finished at $11.85 in June 2026 — a decline of roughly 35% from start to finish. The year’s high was pronounced: $30.13 in February 2026, and the low was $9.34 in December 2025. Monthly movement was sharp at times: the single largest month‑over‑month increase came in January→February (+~135%), and the steepest drops were June→July (−~46%) and February→March (−~45%). Measured volatility (standard deviation) sits near $5.1 — approximately 33% of the mean — signaling meaningful swings in CPI rather than a flat trend.

Seasonal and monthly dynamics

Rhythm across the period shows softer CPIs in mid‑summer and again in late Q4, with December reaching the year’s trough near $9.34. A rebound began in early Q1 (January at ~$12.8) before a sharp peak in February, followed by a quick normalization through spring. Q4 (October–December) moved from $16.43 down to $9.34, creating a late‑year easing, while the Q1-to‑Q2 window included the largest intra‑year spike and correction. In plain terms, the series reads like a sequence of declines and rebounds rather than a single steady trend: softening into December, rebound into January, a February spike, then a choppy descent into summer.

Country vs. Global

Because the provided selected series for Arts × All countries was not separate from the baseline, no discrete gap between a country‑level Arts series and the global benchmark can be calculated here. Interpreting the baseline as the global CPI pattern, the Arts‑related benchmark shows periods of both below‑average and above‑average pressure relative to its own mean: December’s CPI (~$9.3) was about 40% below the annual average, while February’s peak (~$30.1) was roughly 94% above the average. Relative volatility and the February spike make this metric notably more erratic than steady CPC trends or typical CPM analysis would imply, and it stands out from calmer CTR performance patterns often seen in other channels.

Closing

This data narrative frames Cost Per App Install behavior across the Arts industry in All countries as a mix of late‑year easing, an early‑year spike, and elevated month‑to‑month volatility. For anyone referencing Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, country‑specific ad costs, and broader industry ad performance, these figures clarify how CPI moved across the measured months for Arts in All countries.

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 Arts 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.