Compare mobile acquisition cost benchmarks by industry, region, and platform.
October 2025 - September 2026
Benchmark observations based on the selected data
The headline: U.S. cost per app install climbed well above the global baseline over the last 13 months, with two pronounced spikes and unusually large month-to-month swings. 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 All industries available in the United States compared to the global benchmark.
Viewed as cost per app install (CPI), the United States began July 2025 at about $18.31 and finished July 2026 at roughly $100.37 — a roughly 450% increase from start to finish. Across the period the U.S. median CPI averaged about $34.8, with a low of $16.36 in December 2025 and a high of $100.37 in July 2026. By comparison the global baseline averaged roughly $21.8 over the same months, with its own low near $9.36 (Dec 2025) and a peak of $96.91 (July 2026).
Key monthly moves read like a volatility plot: a steady climb from summer into October 2025, a year‑end dip into December, a sharp rebound into January and a dramatic surge in February 2026 (U.S. CPI ~$55.52). After a pullback in March, CPI trends upward through May–June and then more than doubles into July 2026. The U.S. median CPI therefore shows both pronounced peaks (Feb and Jul 2026) and troughs (Dec 2025).
Seasonally, the series softens through Q4 — October’s $26.93 falls back to December’s $16.36 — then rebounds in early Q1. This follows a common rhythm where Q4 gives way to a Q1 spike: “Performance typically softens through Q4 as competition rises, with engagement rebounding in early Q1.” February shows an outsized jump (to $55.52) before a mid‑Q1 retreat; a second multi‑month ascent accelerates into a July apex. The pattern is punctuated rather than smooth, combining holiday season softness, a winter rebound and a strong summer peak.
Volatility is a defining feature. The U.S. series averaged an absolute month‑to‑month change of about $13.05 and an average absolute monthly percent swing near 40%. The global baseline shows even larger average percent swings (~77%), largely driven by an extreme baseline jump into July 2026, but the U.S. path is consistently choppier than a typical low‑variance ad cost series.
Across the window the United States ran materially above global levels: mean U.S. CPI was about 60% higher than the global median ($34.8 vs $21.8). Month by month the U.S. tracked the same pulse as the baseline — both show February and July elevations — but the U.S. magnified those moves. In February 2026 U.S. CPI (~$55.5) was roughly 84% above the baseline (~$30.1). At the July 2026 peak the gap narrows: U.S. $100.4 vs global $96.9 (a small premium). Overall, the U.S. series was above market for most months and displayed high month‑to‑month swings compared with the baseline.
Understanding COST_PER_APP_INSTALL benchmarks and Facebook Ads benchmarks for All industries available in the United States gives a clear sense of country-specific ad costs, CPI volatility, and industry ad performance relative to global CPM analysis and broader CPC trends.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting United States, advertisers often face higher costs because of high competition and purchasing power. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPI values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)
CPM and CPC may rise around Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend increases retail ad competition. December ad demand typically peaks, and retail campaigns may need larger budgets. Back-to-school promotions increase competition. Juneteenth may increase regional engagement.
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.
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.
Short videos that show app benefits, UGC-style content, and localized messaging tend to perform best. Clear CTAs and fast-paced visuals can lower CPI.
Optimizing for installs increases volume. Optimizing for actions such as signups or purchases brings higher-quality users. Choose based on your goals and the importance of post-install behavior.
Align creative with the app experience, avoid misleading ads, and exclude people who already installed. Test lookalike audiences based on high-quality users rather than all installers.
Compare cost benchmarks for Facebook advertising metrics.
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