See how your app install costs compare. Explore mobile acquisition cost benchmarks by industry, region, and platform
January 2025 - January 2026
Detailed observation of presented data
The E-commerce market globally spent most of the year running below the all‑industry benchmark on Cost per App Install (CPI), before a dramatic cost shock in May reset the curve. From a frugal Q1 in the $6 range to a brief $47 spike, E-commerce then normalized into the mid‑teens and closed the year near $10—ultimately averaging slightly above the market but with far sharper 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 E-commerce across all countries compared to the global benchmark.
E-commerce CPI started at $6.03 in January and ended at $10.40 in December, a 73% lift across the year. The average for the period was $14.54, with a low in January ($6.03) and a pronounced high in May ($47.25). Month to month, the narrative moved gradually at first—February (+1%) and March (+9%)—then accelerated in April (+44%) and surged in May (+394%). Costs retraced immediately in June (−72%) and cooled further in July (−28%) before firming in August (+92%). The late-year path was a controlled ease from September ($17.29) to October ($15.71), November ($14.31), and finally December ($10.40).
Volatility was a defining trait. The average absolute month-over-month change for E-commerce was roughly 63%, nearly double the market’s 36%. The range was also wider: a $41 spread for E-commerce (January to May) versus $16.68 for the benchmark (January to June).
The year opened unusually soft for E-commerce installs, with Q1 clustering tightly between $6.03 and $6.64. Late spring broke that rhythm: April signaled pressure at $9.56, then May produced an outsized peak at $47.25—an isolated spike not mirrored in adjacent months. After a June reset to $13.25 and a July dip to $9.58, costs stabilized in a higher band through late summer and early autumn ($15–18 from August to October). Into Q4, pricing converged toward the market and then eased into December, ending well below the late‑summer plateau.
Against the all‑industry global baseline (average $13.37), E-commerce installs averaged 9% higher for the year. Yet that headline masks the distribution: E-commerce ran cheaper in 8 of 12 months and more expensive in only 4, with May doing most of the heavy lifting. In Q1, E-commerce trailed the market by 15–48% each month (e.g., February at $6.07 vs. $11.63, −48%). The gap flipped in May (+283% vs. the market’s $12.32) and again in late summer and December (+7–15% from August, September, and December). The tightest alignment came in November (just 2% below market) and October (4% below). Excluding the May spike, E-commerce’s average falls to about $11.56—roughly 14% below the all‑industry benchmark—highlighting how a single month reshaped the annual picture.
Trend-wise, both lines ended above their starts, but with different cadences: the market climbed 32% from January to December, while E-commerce rose 73% with a choppier profile concentrated around May and late summer.
Taken together, these Facebook Ads benchmarks show a global E-commerce CPI that spent much of the year below the all‑industry baseline, punctuated by a singular May surge and a late‑year convergence. While this readout focuses on CPI, it complements broader CPC trends, CPM analysis, CTR performance, and country-specific ad costs. Understanding Cost per App Install benchmarks for the E-commerce industry across all countries helps teams evaluate performance patterns against global norms and interpret volatility within the broader market 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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