Compare mobile acquisition cost benchmarks by industry, region, and platform.
October 2025 - September 2026
Benchmark observations based on the selected data
The main story: app-install costs were generally moderate for much of the 12‑month window, then ended the period with a dramatic spike. The global COST_PER_APP_INSTALL benchmark averaged about $21.84 over the period, but values ranged widely — a low near $9.36 in December 2025 and a surge to $96.91 in July 2026. Volatility was notable, with a string of mid‑double‑digit month‑to‑month swings and one extreme jump at the end. 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 Public Administration in All countries available compared to the global benchmark. (Note: an industry‑specific time series for Public Administration / All countries was not supplied; the narrative below focuses on the available global COST_PER_APP_INSTALL baseline.)
The baseline series started at $9.95 in July 2025 and finished at $96.91 in July 2026 — nearly a tenfold increase from the opening month. Across 13 monthly medians the central tendency was about $21.8 per app install. The minimum occurred in December 2025 ($9.36) and the first clear peak appeared in February 2026 ($30.13). After a return to mid‑teens through spring (March–June 2026 averaged roughly $16–$19), July 2026 produced an outsized high of $96.91.
Month‑to‑month moves were frequent and sometimes sharp: typical increases of 20–30% in late‑2025 (July→August→September), a near 37% rebound into January, a 135% jump into February, and a 45% retreat into March. Including the July spike, average absolute month‑to‑month change was roughly 77%; excluding that final outlier the average swing settles nearer to 33%. Those figures underline a baseline that is usually bumpy and punctuated by rare but extreme shifts.
Seasonal rhythm is visible: a softer late‑year trough in December 2025 coincides with the period’s lowest CPI, followed by a Q1 lift that peaks in February 2026. Spring months (March–May) see stabilization in the mid‑teens, and early summer (June) holds steady before the abrupt July escalation. The pattern reads as a quiet Q4 trough, a Q1 rebound, a steadier Q2, and then an exceptional outlier at the start of Q3.
These monthly patterns suggest recurring periods of lower competition or pricing pressure (late Q4) and concentrated cost jumps in early Q1 and mid‑year — the latter of which produced the largest deviation from the baseline.
Because a specific Public Administration series for All countries was not provided, direct numerical gaps versus the global baseline cannot be calculated here. Using the baseline as the global reference point, the dataset shows how industry ad performance can swing between single‑digit to triple‑digit CPI values within a year. Descriptively, the baseline exhibits episodes of being both below‑average (December lows near $9–$12) and well‑above average (February and July peaks), illustrating how country‑specific ad costs and industry ad performance can diverge from an aggregate norm.
Understanding Facebook Ads Cost Per App Install benchmarks for Public Administration in All countries available helps advertisers evaluate volatility in country-specific ad costs and compare industry ad performance to broader CPM, CPC trends and CTR performance signals.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Public Administration industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. 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.
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.
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