Mobile App CPI Benchmarks 2026: By Platform, Country & Category

"Is our CPI good?" is the question every founder asks and every benchmark report answers badly—usually with a single global average that's meaningless for your app. Real cost per install varies 10x by country, 3x by platform, and 5x by category, and the blend you should expect depends entirely on which combination of those you're buying. This post lays out the working ranges we see across live accounts in 2026, why the ranges are what they are, and—the part most benchmark posts skip—how to use a benchmark without letting it wreck your strategy.

A note on methodology before the numbers: these ranges come from consumer-app accounts we run or audit, cross-checked against public datasets like Business of Apps' CPI research. They describe broad-targeted, conversion-optimised campaigns at meaningful spend ($20k+/month). Hyper-niche audiences, retargeting, and $500 test budgets will all price differently. Treat every figure as a range with a reason, not a law.

By platform: iOS costs more, and it's usually worth it

In 2026, iOS CPI typically runs 30–60% above Android for the same app in the same market. For consumer apps in the US, that means iOS installs commonly land between $2.50 and $6.00, while Android runs $1.50–$4.00. Three forces keep the gap open: iOS users monetise better so more advertisers compete for them, Apple's privacy stack makes optimisation less efficient (which raises effective prices), and iPhone owners simply skew toward higher-income demographics in tier-1 markets.

The critical caveat: iOS users still monetise 1.5–2.5x better than Android users in most subscription categories. So a higher iOS CPI frequently coexists with a *lower* iOS cost per paying user. If you compare platforms on CPI alone you will systematically underinvest in iOS. Always pull the comparison down-funnel before reallocating budget.

By market: think in tiers, not countries

• Tier 1 (US, UK, Canada, Australia): the most expensive auctions on earth. Budget $2–6 CPI for mainstream consumer apps; dating and fintech go materially higher. The US is usually 20–30% above the UK.
• Western Europe (DACH, Nordics, France, Benelux): typically 20–40% below the US with comparable monetisation quality in subscription apps—chronically underrated by US-focused teams.
• Tier 2 (Eastern Europe, Latin America, Southeast Asia): commonly $0.30–$1.50 per install. Monetisation is lower, but these markets are outstanding creative-testing labs: the same hook-rate and watch-through signals at a fraction of tier-1 prices.
• Emerging (India, Africa, parts of MENA): installs from $0.10–0.50. Only meaningful if your monetisation model works there—ad-monetised apps often thrive, hard-paywall subscription apps usually don't.

The testing-lab pattern deserves emphasis because it's one of the highest-ROI habits available: many of our clients run every new creative batch in Brazil, Mexico, or Poland first, kill the losers cheaply, then launch only proven winners into the US auction. Creative signal transfers across markets far better than most teams assume; hooks are surprisingly universal. (The test structure itself matters too—see our 60-day creative testing framework.)

By category: competition sets the price

• Casual & hyper-casual games: $0.50–$2.50. Broad appeal keeps auctions liquid and cheap.
• Photo, video & utility: $1–3. High volume, moderate competition.
• Health & fitness: $2–5, spiking every January.
• Subscription lifestyle (sleep, journaling, language, meditation): $2–5 in tier-1 markets.
• Dating: $4–8. Notoriously brutal—incumbents defend with enormous budgets.
• Fintech & investing: $5–15, because you're bidding against banks with venture money, and often paying for KYC-grade users, not just installs.

If your category isn't listed, find your analogue by monetisation model and decision weight, not store category: an app monetising like a fintech will price like a fintech even if it lives in Productivity.

By channel: where the discounts live

TikTok still runs 20–50% below Meta on CPI for the same app—the inventory is bigger than advertiser demand, especially outside the US. Average user quality runs somewhat lower, which is a fine trade for apps with broad appeal and fast activation, and a bad one for narrow, high-LTV products. Meta remains the workhorse for precise event optimisation; its delivery is unmatched when you feed it a good down-funnel event. Apple Search Ads is the inverse of both: the highest-intent installs at the highest price—users searching for a solution convert 2–3x better, and you pay accordingly. Treat ASA as a conversion channel and a brand-defence moat, never as your scale engine. Google App Campaigns land between Meta and TikTok on price with the least creative control of the four.

The benchmark trap

Now the most important section of this post. A benchmark answers exactly one question—"is our market position sane?"—and teams keep using it to answer a different one: "are we doing well?" Those are not the same question, and confusing them produces two expensive failure modes:

• The cheap-install celebration. A below-benchmark CPI with weak day-30 retention is a subsidised leak, not a win. You're paying less per user to lose money on each one.
• The expensive-install panic. An above-benchmark CPI with strong retention and payback under 90 days is a machine that deserves *more* budget, not a cost-cutting review. Some of the best accounts we run pay top-quartile CPIs on purpose, because their creative targets exactly the users who pay.

The numbers that actually decide whether to spend more are yours, not the market's: blended CPI trend (falling while volume grows = healthy), cost per paying user by cohort, and payback window (for most consumer apps, 3–6 months is financeable). Benchmarks are context. Cohort economics are the decision.

What actually moves CPI (hint: not bids)

Across every account we run, the delta between an average month and a great month is never bid strategy—it's creative velocity, the number of genuinely new concepts entering testing. The mechanism is structural: ad platforms hand cheap distribution to fresh creatives that earn strong early engagement, because engaging ads make the platform money. A new winning ad gets a discount; a fatigued one pays a tax that compounds weekly.

Apps testing 30+ distinct concepts a month consistently pay 30–40% below their category benchmark. Not 30 variations of one video—30 different hooks, formats, and emotional angles, killed fast when they lose and scaled hard when they win. We've written up the full tactical playbook in how to lower CPI in 2026, and that production-and-testing system is exactly what we build for clients inside the Growth Engine, with a result guarantee on your KPI attached. If your CPI has crept above the ranges in this post and bids aren't fixing it, book a call—we'll show you where the leak is.