See how your app install costs compare. Explore mobile acquisition cost benchmarks by industry, region, and platform
November 2024 - November 2025
Detailed observation of presented data
Retail’s cost per app install across all countries sits dramatically above the global, all‑industry benchmark—and it moves with a distinct mid‑year rhythm. The year opened with a sharp lift, softened into late spring, then surged to a late‑summer high before a September correction and an October rebound. Volatility was palpable month to month, with several double‑digit swings and a wide gap versus the global baseline that narrowed only briefly in June and September.
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 Retail in all countries compared to the global benchmark.
Retail cost per app install (CPI) averaged about 132 across the 12‑month window, starting at 111.71 in November 2024 and ending at 162.22 in October 2025—up roughly 45% from start to finish. The low point arrived in May at 97.44, followed by a climb to the annual high in August at 174.99. From the spring trough to the August peak, CPI rose about 82%. Monthly volatility averaged 29.6 points, or about 22% of the period average, signaling frequent but somewhat proportionate moves.
Key movements:
For context, the global all‑industry benchmark averaged 15.10 over the same span, ranging from a low of 7.13 in January to a high of 27.90 in June, with average monthly changes of 6.23 points (about 41% of its mean)—smaller in absolute terms but choppier relative to level.
Retail’s CPI showed a Q1 lift, eased through April and May, then accelerated into late summer before a September reset and an October recovery. Q2 (April–June) averaged about 110.6, while Q3 (July–September) stepped up to roughly 150.2—an increase near 36%. The global benchmark followed a different cadence: a deep January trough, a June spike, and a steadier Q3–Q4 plateau.
Performance typically tightens through late summer for Retail in this window, while the global composite pressure peaks earlier in June. September marked the most abrupt single‑month Retail pullback, followed by a quick re‑acceleration into October.
Retail across all countries ran well above market throughout—roughly 8–9x the global all‑industry average for the period. The gap was widest in January (about 22.5x the global CPI) and narrowest in June and September (roughly 4.6–4.7x). While Retail’s absolute swings were larger (29.6 vs. 6.23 points), its relative volatility was lower (22% vs. 41%) compared to the global baseline. In trajectory terms, the global trend climbed steadily off a low base (+21% from November to October), while Retail was higher and more momentum‑driven (+45%), with pronounced mid‑year surges and corrections.
Understanding Facebook Ads benchmarks for cost per app install in the Retail industry across all countries highlights a high‑cost, momentum‑driven pattern versus the global baseline. While this review centers on CPI, it complements broader CPC trends, CPM analysis, CTR performance, and country‑specific ad costs to frame industry ad performance in a global context.
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 Retail 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.
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.
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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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.
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 showing app benefits, UGC-style content, and localized messaging tend to perform best. Clear CTAs and fast-paced visuals help lower your CPI.
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.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app