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
The story in the global benchmark for cost per app install (CPI) is a sharp early-year dip followed by a powerful mid-year surge and an elevated finish. Median CPI slid from $15.83 in November to a January low of $7.13, then swung higher, spiking to $27.90 in June and staying above the annual average into early Q4. Month-to-month moves were pronounced, with two double‑digit swings around mid‑year, signaling a choppy auction environment. 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 Real Estate in all countries compared to the global benchmark.
Note on coverage: the Real Estate, all‑countries time series was not present in this extract. The narrative below uses the global, all‑industry CPI benchmark as the directional reference for Real Estate across all countries.
Across the 12-month window (Nov–Oct), median CPI averaged $15.10, starting at $15.83 in November and ending at $19.14 in October—about a 21% lift end‑to‑end. The high point arrived in June at $27.90, more than doubling the January trough of $7.13, while the late‑Q3 peak reached $23.31 in September. Volatility was elevated: absolute month‑over‑month moves averaged $6.23, with the sharpest swings in May→June (+$16.13, +137%) and June→July (–$15.21, –55%).
The path itself reads like a series of waves. December pulled back 29% from November, and January fell another 37% to the low of the year. February rebounded 76% before a March cooldown (–30%). April and May settled around the $12–$13 band, then June broke out dramatically. After the June spike, costs normalized in July ($12.69) before climbing through late Q3 (August $18.24, September $23.31) and easing slightly into October ($19.14).
Seasonality shows through in the rhythm of costs. Late Q4 2024 softened into December, consistent with many markets where holiday competition can redistribute budgets and placements. Early Q1 2025 marked the trough, a common pattern as engagement rebounds but auction intensity resets. Spring steadied near the low‑teens before a mid‑year dislocation in June. The back half trend skewed higher: July was a reset from June’s spike, but August through October held above the annual average, with September the second‑highest month of the year.
Looking at halves, Jan–Jun averaged $13.46, while Jul–Oct averaged $18.34—about a 36% increase, reflecting tighter conditions and rising country‑specific ad costs into late Q3 and early Q4.
Because this cut spans all countries and only the global all‑industry series is available, the comparison frames Real Estate against the benchmark backdrop. The global line itself rose from November to October (+21%), featured a pronounced mid‑year spike, and finished the period at levels meaningfully above the annual average. If Real Estate’s CPI tracked the same shape, it would have operated within a $7–$28 range, with the narrow early‑spring band giving way to late‑summer elevation. The precise gap between Real Estate and the all‑industry global median cannot be quantified in this slice, but the benchmark sets the directional context: softer Q1, a sharp June pivot, and a firmer back half.
Understanding Facebook Ads benchmarks for cost per app install in Real Estate across all countries highlights a year of sharp swings: a January low, a June peak, and elevated late‑year levels versus the average. These CPI trends provide a clear reference point for assessing industry ad performance and CTR performance context alongside broader CPM analysis within the global benchmark.
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 Real Estate 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.
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See how much it costs to get users to install an app