Superwall vs RevenueCat: Which Do You Need?

RevenueCat is a subscription backend: it validates purchases, tracks who is entitled to what, and reports revenue across iOS, Android and the web.

Superwall is a paywall platform: it lets you design, target and A/B test paywalls without shipping an app update.

Many apps run both, with RevenueCat handling purchases and Superwall deciding which paywall each user sees, though each tool now overlaps with the other.

This comparison is based on each vendor's public docs and pricing pages, plus the paywall tests in our database that were run on each platform. We have not used either tool hands-on.

What each tool does: paywall experiments vs subscription backend

RevenueCat started as an SDK that wraps StoreKit and Google Play Billing.

It stores receipts, keeps entitlements in sync across platforms, sends webhooks and feeds charts.

Its pricing page also lists native Paywalls you can configure remotely, Experiments, 40+ integrations and web-to-app funnels.

Superwall started on the other side of the purchase.

Its core is a no-code paywall editor, plus campaigns that decide which paywall appears at which placement (an event in your app, like opening a locked feature) for which audience.

Its pricing page now also lists free subscription infrastructure: entitlements, receipt validation, webhooks, revenue analytics and SQL access, along with Stripe web checkout.

So the old split, "RevenueCat for the backend, Superwall for the paywall," is no longer as clean as it was. In practice the strengths still differ:

• RevenueCat is stronger as a system of record. It is the more established backend, with wide SDK coverage and a large integration catalog. Its paywall builder and experiments are newer add-ons to that core.
• Superwall is stronger at paywall iteration. Targeting rules, placements, holdouts and the editor are the product. Its backend is the newer piece.

For a broader field that includes Adapty and others, see our paywall tools roundup and RevenueCat alternatives.

Using Superwall and RevenueCat together

Running both is a documented, common setup. Superwall's RevenueCat guide describes two routes.

In the simple one, you let Superwall complete purchases and RevenueCat observes the transactions for its charts.

In the other, you add a purchase controller, so RevenueCat's SDK makes the purchase while Superwall only shows the paywall.

The appeal is clear: you keep RevenueCat's entitlements, charts and integrations, and you get Superwall's paywall testing on top.

The cost is two SDKs, two dashboards and two bills.

Revenue numbers can also differ between the two dashboards, so pick one as the source of truth before you read test results.

Superwall also publishes a migration guide from RevenueCat, which tells you where the vendor wants this relationship to go.

You don't have to follow it. Moving a live subscriber base between backends carries real risk, and many teams never need to.

One case in our database shows why the purchase plumbing matters for testing.

An indie developer, Sebastian Szturo, tested Stripe web checkout on their utility apps and found a small conversion dip cost more than the store fees it saved (vendor-reported, on Superwall's site).

Pricing

Both tools charge a share of revenue rather than a flat seat fee. What they meter is different.

Prices as of November 2026, from RevenueCat's pricing page and Superwall's pricing page.

Check both before you commit; usage-based plans change.

A worked example using Superwall's own numbers: an app with $50,000 a month in subscription revenue, half converting through Superwall paywalls, pays 1% of that $25,000, or $250 a month.

The same app on RevenueCat tracks all $50,000. RevenueCat's page says you pay 1% of what you track once you pass $2,500 MTR, which works out to about $500 a month.

If you run both, you pay both. That stacking is the main pricing downside of the combined setup, and it grows with revenue.

It is still small next to the gains from one good paywall test, but it is worth modeling with your own numbers in our subscription LTV calculator.

Experiments and stats

Both tools let you test paywalls and prices without an app release. The setup and readouts differ.

RevenueCat Experiments

RevenueCat tests Offerings, which can change prices, trial length, subscription length, product groupings and, with Paywalls or metadata, the paywall itself.

A test runs 2 to 4 variants. One limit to know: a stopped test can't be restarted.

Results show a Chance to Win per variant and 95% credible intervals for initial conversion, trial conversion and conversion to paying.

RevenueCat's strength is the full-funnel view: it follows variants through renewals, so you can judge a price test on revenue, not just the first tap.

Tests run on RevenueCat back this up. Pixelcut saw +16% paying customers with a weekly plan instead of monthly.

Zumba got +8% install-to-paid from a 7-day trial instead of 14 days.

Photoroom saw +50% upsell screen conversion with localized paywalls.

All three are vendor-reported case studies on RevenueCat's site.

Superwall experiments

In Superwall, you add two or more paywalls to an audience and set a percentage for each.

You can leave part of the audience as a holdout that sees no paywall, which tells you whether showing a paywall at that moment pays off at all.

Superwall's readouts include 95% confidence intervals and a Bayesian "Win %", with a variant marked as the winner once it reaches 95%.

Because targeting is the core product, it is easier to run many small tests per placement, country or user segment.

Superwall's case studies show what that speed is used for.

Mojo saw +14% new subscription revenue after hiding credit packs.

PropGPT got +47.5% proceeds per user by raising its weekly price from $6.99 to $9.99.

BuyBye's 50% higher yearly price cut conversions 19% but raised proceeds per user 25%.

Stardust saw +131% paywall conversion after adding a 7-day trial. These are vendor-reported too.

The BuyBye result is the lesson for both tools: judge price tests on revenue per user, not conversion rate.

A tool that only shows conversion will tell you to ship the wrong variant.

For more on reading these numbers, see Bayesian vs frequentist testing and size your test first with our sample size calculator.

A caution on vendor case studies: both companies publish their best wins.

Neither set is a fair sample of what a typical test does.

Browse all paywall tests, including the losers, for a more balanced view.

Verdict by app stage

Pre-launch or under $2,500 a month

Either tool is free at this size. RevenueCat is the safer default if you mainly need purchases to work across iOS and Android with little code.

Superwall makes sense if you already know you want to test paywalls early, since its paywall allowance runs to $10,000 a month.

Most apps this small lack the traffic for clean tests, so read our low-traffic testing guide first.

Growing, roughly $10,000 to $100,000 a month

This is where running both is most common.

Keep RevenueCat as the backend and add Superwall for paywall targeting and fast iteration.

If the two bills bother you, test RevenueCat's own Paywalls and Experiments before adding a second SDK.

Scaled apps

Larger teams usually keep the backend they already have, since migrating subscribers is risky.

RevenueCat offers custom enterprise pricing; Superwall's model stays at 1% of paywall revenue.

Teams heavy on web checkout should look at each tool's web-to-app support closely.

Who each tool is not for

• RevenueCat is not for teams whose main need is high-volume paywall targeting by segment and placement. Its paywall tools are capable, but they aren't the core product.
• Superwall is not for teams that want a long-proven, single source of truth for subscriptions across many platforms and integrations. Its backend is newer.
• Neither is for apps that sell one-time purchases only and never test pricing. A lighter setup will do.

For deeper looks, read our Superwall review and RevenueCat review, or compare Adapty vs RevenueCat.