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July 2025 - July 2026
Detailed observation of presented data
Spain’s cost‑per‑app‑install (CPI) series was choppy and high‑variance across the 12 months observed, running well above the global benchmark on average but punctuated by two dramatic troughs. 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 All industries in Spain compared to the global benchmark.
Spain started the period in June 2025 at about 35.67 per install and closed the 12‑month window in May 2026 at roughly 34.93 — a small net decline of about 2% from start to finish. Across the year Spain’s median monthly CPI averaged about 25.35, versus a baseline (global) average of roughly 15.86 — approximately 60% higher than the global benchmark.
Highs and lows were extreme: the peak was 38.95 in March 2026; the troughs were 2.44 in November 2025 and a near‑zero 0.76 in January 2026. The month with the largest single drop was October→November (−35.58 points, about −94%), and the largest single rebound was January→February (+27.83 points), a roughly 3,600% increase relative to the January trough. Those swings show Spain’s CPI moving between double‑digit highs and near‑zero lows within a single quarter.
Volatility metrics underline the instability: the standard deviation across months is about 13.2 points (coefficient of variation ~52%), and the mean absolute month‑to‑month swing was ~12.6 points — roughly half of the average CPI level. In plain terms, Spain’s CPI was far more volatile than the global pattern during the same months.
The series shows several pulses rather than a smooth seasonal curve. Early summer (June–October 2025) sat at elevated levels (30–39), then a precipitous collapse in November and another trough in January. February–March saw aggressive rebounds into the high 20s–high 30s, followed by a mid‑spring pullback in April (around 20) and a late‑spring return to the mid‑30s in May.
This rhythm contrasts with the baseline’s more muted swings. The global benchmark exhibits a noticeable spike in February 2026 (≈30.13) but otherwise remains in a narrower 9–19 band for most months. Spain’s pattern is jumpy: brief, deep plunges and equally sharp recoveries dominate the calendar rather than predictable quarter‑end moves.
Relative to the global benchmark, Spain was usually above market levels but with clear exceptions. Spain trailed the global CPI in November, December and January (notably January at ~0.76 versus a baseline ~12.83), and narrowly trailed in February (28.59 vs baseline 30.13). At its narrowest gap Spain was modestly below the benchmark; at its widest, Spain exceeded global CPI by more than 135% (March). Across the full sample Spain’s average CPI ran about 60% above the baseline, and Spain was considerably more volatile (Spain CV ~52% vs baseline CV ~33%).
This account of Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance for cost‑per‑app‑install shows Spain’s country‑specific ad costs were marked by episodic spikes and troughs, making its industry ad performance more uneven than the global pattern.
Understanding cost‑per‑app‑install benchmarks for all industries in Spain helps advertisers evaluate engagement and compare country‑level ad performance to global patterns.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting Spain, advertisers should consider local market factors and user behavior. 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.
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Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)
CPM and CPC might increase during Semana Santa (Holy Week) and May Day, particularly for travel and tourism campaigns. 'Puentes' (bridge days) could reduce weekday inventory while pre-holiday traffic boosts media consumption. Black Friday typically marks sharp rises in retail competition. Late December brings peak ad volumes and e‑commerce CPM spikes.
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