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
Global cost per app install spent the past year on a rollercoaster: a soft, bargain Q1, a dramatic mid‑year spike, and a high-but-cooling finish that landed almost exactly where it started. Across all countries, the Facebook Ads benchmark for CPI began at 17.55 in November 2024, sank to a January low, surged into June, and then eased through autumn. Volatility was notable, with several double‑digit month‑over‑month swings and a sharp June–July whipsaw. 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. (Segmented monthly data for Real Estate across all countries was not available in this pull, so the global line provides the comparison context.)
From November 2024 to November 2025, the global median CPI averaged 15.91, ranging from a low of 7.22 in January to a peak of 27.90 in June. The period opened at 17.55 (Nov 2024) and closed at 17.18 (Nov 2025), a modest 2% decline, but that calm endpoint belies the journey. Month‑to‑month volatility averaged 6.29 points, with the biggest jump coming in May→June (+15.85) and the steepest correction immediately after in June→July (−15.66). Six of the 13 months sat above the period average.
The cadence was clear. Q1 tracked at a discounted 9.75 on average (Jan–Mar), rising sharply in Q2 to 18.23 (+87% vs. Q1), punctuated by the June high. Q3 held that elevation—averaging 18.28—with August (19.88) and September (22.72) forming a strong late‑summer plateau. October remained elevated at 20.72 before easing to 17.18 in November. In total, CPI nearly quadrupled from the January trough to the June peak (+286%), then settled into a higher, yet more stable, late‑year band.
Seasonality emerged in two acts: a soft start and a mid‑year surge. Q1 was the downcycle, with January marking the year’s low, followed by a rebuild through February and a brief March pullback. The April–June run delivered the decisive lift, culminating in June’s standout high. A fast July correction reset the market, while August through October formed a strong but steady stretch averaging about 21. November’s moderation placed costs back near the opening level. Notably, December 2024 was also subdued (12.61), illustrating that Q4 in this series was mixed: October was competitive, but year‑end was not uniformly elevated.
Because a month‑by‑month series for Real Estate across all countries was not present in this dataset, a direct gap versus the global benchmark cannot be quantified. The global CPI curve therefore serves as the reference for country‑specific ad costs and industry ad performance context: soft in Q1, elevated mid‑year with a June spike, resilient through late summer, and easing into November.
Taken together, these Facebook Ads benchmarks show CPI dynamics that matter for Real Estate across all countries: a low January, a June apex, and a high-but-cooling finish close to the starting point. Understanding cost per app install benchmarks for the Real Estate industry across all countries helps advertisers read market rhythm and compare performance to global patterns. While CPC trends, CPM analysis, and CTR performance offer complementary views, this report centers on CPI to anchor benchmarks for the Real Estate category globally.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
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Cost per thousand impressions across different markets
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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