App User Acquisition Benchmarks by Vertical: 2026 Data
Most app teams benchmark themselves against the wrong thing. They see a headline CPI number from a 2023 Meta report and build their entire budget model around it. Then they wonder why their unit economics look nothing like the model at the end of Q1.
The problem isn't a lack of data — there's plenty of it. The problem is that aggregate industry benchmarks flatten out the variation that actually matters. A fitness app and a B2B SaaS app do not compete on the same channels, attract the same users, or convert at anything close to the same rate. Treating them as equivalent is how teams waste budget.
This post compiles 2026 benchmark ranges across five verticals we work in regularly: healthcare, fitness, marketplace, fintech, and B2B SaaS. Where we reference specific ranges, we're drawing on a combination of published platform data, industry reports from AppsFlyer, Adjust, and Sensor Tower, and what we observe in our own client engagements. We'll flag which is which.
The Metrics That Actually Matter
Before diving into vertical data, let's align on the three metrics this post tracks — and why each one alone is misleading.
Cost Per Install (CPI) is the most commonly cited benchmark. It tells you what you paid to get someone to download the app. It tells you almost nothing about whether that download was worth anything.
Conversion Rate (CVR) here refers to the post-install conversion: install-to-registration, or install-to-first meaningful action, depending on your app's activation model. This is where most teams lose users and most benchmarks go quiet.
Lifetime Value (LTV) is where everything resolves. A high CPI in fintech is often completely rational because LTV is also high. A low CPI in casual gaming is a trap if LTV is near zero.
The ratio of LTV to CPI — sometimes expressed as LTV:CAC or payback period — is the number that should drive budget decisions. We'll note this ratio directionally for each vertical.
How to Read These Ranges
All figures below represent approximate ranges based on published 2025–2026 industry data and our own client observations. They are not guarantees. Your actual numbers will vary based on:
- Geographic targeting (US/tier-1 markets skew CPI higher)
- Channel mix (Apple Search Ads vs. Meta vs. TikTok vs. Google UAC)
- Creative quality
- App store conversion rate (your icon, screenshots, and reviews affect paid UA too)
- Seasonality
Use these as a calibration tool, not a forecast.
Benchmark Table: CPI, CVR, and LTV Tier by Vertical
| Vertical | Avg CPI Range (US, iOS) | Install-to-Activation CVR | LTV Tier | LTV:CPI Signal |
|---|---|---|---|---|
| Healthcare | $4–$14 | 25–45% | High | Strong — justify higher CPI |
| Fitness & Wellness | $2–$8 | 30–50% | Medium | Moderate — depends on subscription depth |
| Marketplace | $3–$10 | 20–35% | Medium–High | Variable — supply vs. demand side matters |
| Fintech | $6–$20 | 15–30% | Very High | Strong — acquisition costs are acceptable at scale |
| B2B SaaS | $8–$25 | 10–25% | Very High | Strong — but channel mix is narrow |
A few things jump out immediately. Fintech and B2B SaaS carry the highest CPI but also the highest LTV — which is exactly what you'd expect. The mistake teams make in these verticals is trying to drive CPI down below a threshold that doesn't make business sense for the category. Chasing $3 CPIs in a B2B SaaS app usually means buying the wrong audience.
Healthcare is the vertical where we see the widest spread between teams that execute well and teams that don't. The ceiling LTV is genuinely high — especially in telehealth, chronic care management, and subscription-based wellness models — but HIPAA constraints, App Store category rules, and attribution complexity make acquisition harder than in consumer categories.
Healthcare App Acquisition: What's Different
Healthcare apps face constraints that most UA playbooks don't account for. On Meta, health-condition targeting has been progressively restricted. On Google, certain medical keywords trigger policy review. Apple Search Ads remains one of the cleanest channels in this vertical because you're bidding on intent, not health status.
In our engagements with healthcare clients — including projects like 360 Medical Consulting, a HIPAA-compliant patient portal — the most reliable acquisition lever isn't paid UA at first. It's SEO combined with strong app store presence (ASO), then layering paid on top once organic validates the conversion funnel.
CVR in healthcare tends to hold up better than other verticals because users who find the app have high intent. The drop-off typically happens at the registration/verification step, not at download.
Fitness & Marketplace: The Subscription Trap and the Two-Sided Problem
Fitness apps look approachable on CPI — $2–$8 is achievable on Meta and TikTok. The problem is retention. Subscription activation rates in fitness are notoriously low industry-wide, and the LTV model collapses if month-3 retention falls below roughly 20–25%. We've seen teams pour budget into acquisition for apps that had a 6-week engagement cliff baked into the product. No amount of UA spend fixes a product problem.
Marketplace apps have a different challenge: two-sided acquisition. If you're building a marketplace, your CPI number is almost irrelevant unless you specify which side of the market you're acquiring. Supply-side users (service providers, sellers, drivers) and demand-side users (buyers, customers) have different CPIs, different CVRs, and different LTVs. We tracked this closely on My Home Delivery, a two-sided marketplace for big-and-bulky delivery, where the acquisition strategy for delivery operators was fundamentally different from the consumer side.
The benchmark table above reflects demand-side acquisition for marketplace apps. Supply-side can run 2–4x higher CPI in competitive categories.
If you want a channel-by-channel breakdown of how to structure your acquisition funnel, our mobile app marketing services team builds these models before running a single dollar of paid spend.
Fintech and B2B SaaS: Justify the CPI, Then Build the Model
These two verticals are where teams most often get spooked by raw CPI numbers. When Apple Search Ads bids in fintech regularly exceed $15 per install, it feels expensive. It isn't — if LTV holds.
Published data from AppsFlyer's 2025 Performance Index suggests fintech apps on iOS routinely see the highest paid UA spend efficiency when measured by downstream revenue, precisely because the install-to-revenue journey (account creation → KYC → first transaction) is instrumented well. The teams that fail in fintech UA are the ones that optimize for install volume instead of quality.
B2B SaaS mobile is a special case. The app is rarely the primary acquisition surface — it's usually the companion to a web product. UA strategy here is less about app install campaigns and more about retargeting existing web users into the mobile app, or using Apple Search Ads branded campaigns to ensure existing customers find and install the app. Cold acquisition from paid channels for B2B SaaS mobile apps typically underperforms; the economics only work when mobile is part of a broader funnel.
For a framework on structuring the full acquisition funnel regardless of vertical, the 2026 Mobile User Acquisition Strategy post covers channel allocation and budget phasing in detail.
Channel Mix Varies by Vertical
One benchmark table can't capture channel-level variation, but here's a directional view:
| Vertical | Best-Performing Channels (2026) |
|---|---|
| Healthcare | Apple Search Ads, SEO/ASO, programmatic |
| Fitness | Meta, TikTok, influencer, Apple Search Ads |
| Marketplace | Meta, Google UAC, referral |
| Fintech | Apple Search Ads, Google UAC, Meta |
| B2B SaaS | Retargeting, Apple Search Ads branded, LinkedIn (web to app) |
TikTok has continued to grow as a channel for fitness and consumer lifestyle apps, particularly for apps targeting the 18–34 demographic. CPIs on TikTok can run lower than Meta in these categories, though creative production requirements are higher. For more on creative strategy, the 12-week creative testing pipeline for app install ads covers how to structure testing without burning budget on guesswork.
FAQ
What's a good CPI benchmark for a new app launch?
There isn't a universal number, and anyone who gives you one without knowing your vertical, channel mix, and target geography is guessing. For a US iOS launch, expect anywhere from $3–$25 depending on vertical. The number that matters is your LTV:CPI ratio — if LTV is 5–10x your CPI, you're in a healthy range.
Why is iOS CPI typically higher than Android?
iOS users in tier-1 markets have historically shown higher LTV for most app categories, which drives advertiser competition and pushes CPIs up. Android CPIs tend to be lower globally, but LTV varies significantly by geography and category. For global-first apps, Android often offers better acquisition efficiency in markets like Southeast Asia, Latin America, and Eastern Europe.
How do I improve install-to-activation CVR?
Onboarding is the biggest lever. Most apps lose 40–60% of installs before the user completes a meaningful first action. Shortening the onboarding path, deferring unnecessary permissions requests, and offering value before asking for account creation all have measurable impact. Product and growth need to own this together — it's not a pure UA problem.
Should I benchmark against industry averages or my own historical data?
Your own historical data wins every time, once you have enough of it. Industry benchmarks are useful for initial budget modeling and for identifying when something is obviously off. Once you've run 60–90 days of campaigns, your own funnel data is more predictive than any published report.
How does ASO affect paid UA benchmarks?
Directly. When a paid click lands on your App Store listing, your screenshots, ratings, and preview video determine whether that click converts to an install. A poor App Store listing can add $3–$8 to your effective CPI without any change to your ad spend. ASO and paid UA aren't separate workstreams — they're part of the same conversion funnel.
Are these benchmarks relevant for apps outside the US?
Partially. The vertical-level patterns (fintech LTV is high, fitness retention is the challenge) hold globally. The absolute CPI numbers don't — tier-2 and tier-3 markets can run 60–80% lower CPI. If you're targeting global markets, run separate budget models by region rather than applying US benchmarks uniformly.
If you're modeling a launch budget or trying to figure out why your current UA numbers don't match what you expected, the benchmarks above give you a starting frame. But the real work is building the right model for your specific vertical, channels, and product maturity. Our mobile app marketing services team does exactly that — channel strategy, funnel modeling, and paid execution across iOS and Android. If you want to walk through your numbers, book a 30-minute call and we'll tell you where the gaps are.
