RevenueCat review (2026), pros, cons and pricing
- What it is
- RevenueCat is a subscription and in-app purchase backend for iOS, Android and web apps, and its Experiments feature A/B tests prices, trials and paywalls and reports the results on revenue and lifetime value.
- Best for
- Subscription apps that want purchases, entitlements, paywalls and price tests in one place, especially teams already using RevenueCat for billing.
- Price
- Free plan, paid plans vary
- Free plan or trial
- Free plan
- Latest funding
- $50M Series C (May 2025), led by Bain Capital Ventures
- Scale (its own figures)
- 146,000+ apps and $17B+ in revenue processed
- Customers named on its site
- ChatGPT, VSCO, Photoroom, CardPointers
- Stores and payment providers
- Apple App Store, Google Play, Amazon Appstore, Roku, Stripe, Paddle, RevenueCat Billing
- Experiments available on
- Pro and Enterprise (Pro is free under $2,500 MTR)
What RevenueCat does
RevenueCat handles in-app purchases and subscriptions across the Apple App Store, Google Play, Amazon Appstore, Roku, Stripe, Paddle and its own RevenueCat Billing for the web. It validates purchases, tracks who is entitled to what, and gives you revenue charts, webhooks and data exports. Its homepage says it supports more than 146,000 apps, including ChatGPT, VSCO and Photoroom.
On top of that backend sit the growth tools: a no-code, remotely configured paywall editor, web-to-app funnels, targeting and Experiments.
How Experiments works
Experiments tests Offerings, RevenueCat's name for the set of products a paywall shows. So you can test prices, trial presence and length, intro offers, the number and mix of products, and paywall design, copy and images. Each experiment has 2 to 4 variants, and each treatment is compared on its own against the control.
Setup depends on your app showing the current Offering through a dynamic paywall. Once that's in place, the docs say no app changes are needed to run a test, because the work happens server-side.
How results are judged
This is where RevenueCat is strongest for subscription apps. Results cover initial conversion, trial conversion, conversion to paying and realized LTV per customer. Because subscriptions renew, results keep updating for 400 days after you stop a test so LTV can mature. Since February 2026, experiments with a revenue primary metric also show a predicted 12-month LTV winner once there's enough conversion data.
The stats are Bayesian. Each treatment gets a chance to win against the control, with credible intervals, and RevenueCat emails you if a treatment's realized LTV falls well behind. You decide when to call it. The docs say many developers treat a 95% chance to win as enough, depending on what's being tested and how much risk you'll accept. The June 2026 release added winner rollout, to send traffic to the winning variant in one step.
AI features
The Paywalls AI Editor, added in 2026, builds a paywall from a text prompt, edits it in plain language, adds translations and audits it before launch for problems such as a low-contrast button or a missing restore purchases link. Rico, an AI growth advisor, answers revenue questions in the dashboard and in Slack. You still choose what to test and launch each experiment yourself.
Company
RevenueCat raised a $50M Series C in May 2025, led by Bain Capital Ventures. It says it has processed more than $17B in revenue.
Who it suits
RevenueCat Experiments suits app teams already on RevenueCat, or planning to be, who want to test what users pay inside the app and judge it on money over time, not first-day conversion. It covers web paywalls and web-to-app funnels too. It doesn't test the marketing site, the pricing page outside the app, or ads.
Pros and cons
What RevenueCat does well
- Experiments is included on every plan, even the free tier under $2,500 in monthly tracked revenue.
- Results follow revenue over time. Realized LTV per customer keeps updating for 400 days after a test stops, and a predicted 12-month LTV winner appears once there's enough data.
- Bayesian chance to win and credible intervals, plus an email if a variant falls well behind the control.
- Variants are assigned server-side through Offerings, so no app release is needed if your app already shows the current Offering.
- One backend for the App Store, Google Play, Amazon, Roku, Stripe, Paddle and its own web billing.
- The Paywalls AI Editor builds a paywall from a text prompt.
Where it falls short
- Experiments needs Offerings and a dynamic paywall that shows the current Offering, so first-time setup takes engineering work.
- Past $2,500, the fee is a share of all tracked revenue, so the bill grows with the app rather than with how many tests you run.
- Long-term results take time. Subscription price tests can need weeks or months before LTV is clear.
- Built for app monetization. It doesn't test marketing sites, pricing pages or ads.
Outtest vs RevenueCat
RevenueCat and Outtest usually sit side by side rather than compete. RevenueCat runs purchases and subscriptions for iOS, Android and web apps, and its Experiments feature tests prices, trials and paywalls inside the app. Outtest connects to RevenueCat read-only as a payment data source and uses that revenue to judge tests on the website, pricing page and trial offer.
The line between them is the surface. If the test lives on an in-app paywall, RevenueCat Experiments is the natural tool, and Outtest doesn't test native app paywalls. If the test lives on the web pages around the app, Outtest covers it and judges each test on revenue per visitor, using the same RevenueCat data.
| Outtest | RevenueCat | |
|---|---|---|
| Best for | Founders and small teams who want tests run for them and judged on real revenue, without a CRO specialist. | Subscription apps that want purchases, entitlements, paywalls and price tests in one place, especially teams already using RevenueCat for billing. |
| Price | From $29/month (3 tests a month). 20% off yearly. | Free until you track $2,500 in monthly revenue (MTR), then 1% of what you track, with Experiments included. Enterprise is custom. Paywalls, web funnels and A/B tests can also run on your own purchase backend for 1% of the MTR those tools track. |
| Free plan or trial | No free plan or trial | Free plan |
| AI builds the test versions | Yes | Yes |
| Judges tests on revenue from your payment tool | Yes | Yes |
| Visual editor | No | Yes |
| Server-side tests | Partly | Yes |
| Stats engine | Bayesian, on revenue per visitor | Bayesian (chance to win and credible intervals) |
| Payment integrations | Stripe, Shopify, Paddle, Lemon Squeezy, Dodo Payments, Creem, RevenueCat, Chargebee | Apple App Store, Google Play, Amazon Appstore, Roku, Stripe, Paddle, RevenueCat Billing |
Pick RevenueCat if
- You need a subscription backend for the App Store, Google Play or other stores anyway.
- Your tests are about in-app prices, trial lengths or paywall designs.
- You want results that follow lifetime value, not only the first purchase.
- You track under $2,500 a month and want to run price tests for free.
Pick Outtest if
- You want to test the website, pricing page, trial or cancel flow rather than the in-app paywall.
- You want AI agents to find where the funnel leaks, build the change and call the winner.
- You want to test web onboarding copy and sign-up steps too.
- You already use RevenueCat and want its revenue data to judge your web tests.
The verdict. For in-app paywall and price tests, RevenueCat Experiments is the obvious choice if you already run on RevenueCat, and Outtest doesn't do native paywalls. For the web side of the funnel, Outtest adds tests judged on the same revenue data. Plenty of teams will sensibly use both.
Questions people ask
Is RevenueCat Experiments free?+
Experiments is included in RevenueCat's Pro plan, which is free until you track $2,500 a month in revenue. After that you pay 1% of tracked revenue for the whole platform, with no separate charge for testing.
What can you test with RevenueCat Experiments?+
Prices, trial presence and length, intro offers, the number and mix of products, and paywall design, copy and images. Each experiment compares 2 to 4 Offerings.
How does RevenueCat decide a winner?+
It uses Bayesian stats to show each variant's chance to win against the control, with credible intervals. For revenue-based tests it also shows a predicted 12-month LTV winner. You decide when to stop; its docs say many developers treat 95% chance to win as enough.
Does RevenueCat test websites?+
It supports web paywalls and web-to-app funnels through RevenueCat Billing. It doesn't test marketing sites, pricing pages outside the app, or ads.
Can I use RevenueCat and Outtest together?+
Yes. Outtest connects to RevenueCat read-only as a payment data source. RevenueCat Experiments handles in-app paywall tests, and Outtest uses the same revenue to judge website, pricing page and trial tests on revenue per visitor.
Sources
Checked on 28 September 2026 from RevenueCat's own pages. Prices and features change; check RevenueCat's site before you buy.
- revenuecat.com/pricing/
- revenuecat.com/
- revenuecat.com/feature/experiments
- revenuecat.com/docs/tools/experiments-v1
- revenuecat.com/docs/tools/experiments-v1/experiments-overview-v1
- revenuecat.com/docs/tools/experiments-v1/experiments-results-v1
- revenuecat.com/changelog/release/see-predicted-12-month-ltv-winners-in-experiments-2026-02-12
- revenuecat.com/blog/engineering/launch-party-june-26-the-new-features-you-should-know
- revenuecat.com/blog/company/paywalls-ai-editor
- revenuecat.com/docs/projects/connect-a-store
- revenuecat.com/docs/welcome/set-up-revenuecat/account-management
- community.revenuecat.com/general-questions-7/pricing-faqs-112
- revenuecat.com/blog/company/revenuecat-part-2-series-c
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