Mobile App User Acquisition: App Store Ads & Paid UA Benchmarks
Cost per install swings from $0.80 to $20+ depending on category and platform. Here is what actually explains the spread, and how to budget against it.
By SaasBliss Growth Team · Published September 23, 2026
Quick answer
Mobile app cost-per-install (CPI) averages $3.91 globally in 2026, ranging from $0.80 for casual gaming apps to $20+ for finance and insurance apps, with iOS averaging roughly $4.70 versus lower Android costs. North America runs the most expensive UA region at $2.50-$5.00 CPI, versus $1.50-$3.00 in APAC, meaning a single global CPI benchmark is nearly useless without knowing category, platform, and geography.
Why CPI varies by 25x across categories
Finance and insurance apps face CPIs of $20 or more, driven by intense competition for high-LTV users and regulatory-heavy ad review processes on both major app stores, while casual gaming and music apps see CPIs as low as $0.80, reflecting both lower per-user value and much higher ad inventory availability in those categories.
This spread means a generic "average CPI" benchmark is close to useless for budgeting purposes, a finance app planning around the $3.91 global average will dramatically underbudget, while a casual game planning around the same number will dramatically overbudget relative to what its category actually requires.
Platform and geography compound the variance
iOS CPI averages roughly $4.70, notably higher than Android, reflecting both a generally higher-spending iOS user base (which advertisers pay a premium to reach) and Apple's more restrictive attribution environment since App Tracking Transparency, which reduces targeting precision and pushes bids up.
Geography adds another multiplier: North America runs $2.50-$5.00 CPI, the most expensive region globally, EMEA runs $2.00-$4.00, and APAC runs $1.50-$3.00, a UA budget built without a clear geographic allocation strategy will spend disproportionately in the most expensive region by default through most ad platforms' auto-optimization.
What actually improves UA efficiency
Event-based bidding (optimizing toward a specific in-app action like completed onboarding or first purchase, rather than raw installs) consistently produces a lower blended cost-per-value-user than install-optimized campaigns, even though the headline CPI on an install campaign often looks cheaper.
Creative testing velocity matters disproportionately in mobile UA compared to other channels, because ad fatigue sets in faster in-app than in most other formats, teams running a continuous creative testing pipeline consistently outperform teams that set-and-forget a small number of ad variants.
Budgeting realistically
Build CPI assumptions from your specific category and target geography, not a global average, and validate them against a small test budget before committing to a full-scale campaign, category-level benchmarks are directional, not guarantees, at the individual-app level.
Track cost-per-value-user (CPI weighted by actual retention or purchase behavior at 7 and 30 days), not raw CPI alone, a cheap install that churns in a day is more expensive, in real terms, than a costlier install that retains and monetizes.