Paywall conversion benchmarks for indie mobile apps in 2026

The numbers nobody publishes, broken down by category, plus the fixes when yours falls short.

TL;DR

In 2026, indie mobile apps with hard paywalls (gate after 1 to 3 free uses) convert 4 to 12 percent of free trials to paid subscriptions on iOS. Soft paywalls (free with limits) convert 2 to 6 percent. Onboarding paywalls convert 8 to 20 percent on first session. The category matters: AI utility apps lead the conversion charts, wellness and tutors trail, entertainment is widest. Apps below 4 percent free-trial-to-paid conversion are usually fixable with paywall placement, copy, and pricing changes. This article gives the benchmarks and the prescriptions.

Key facts at a glance

• The healthiest indie apps convert 6 to 12 percent of free trials to paid on iOS.

• Onboarding paywalls (presented in the first session) convert higher but lose more users to immediate uninstall.

• Hard paywalls (gate after 1 to 3 uses) convert better than soft paywalls (free with limits).

• Annual price points convert lower than monthly but generate higher LTV per converter.

• Apple Search Ads traffic typically converts 1.5 to 3x higher than organic search traffic.

The benchmarks

These are typical 2026 ranges from indie apps using RevenueCat or Stripe with standard subscription pricing ($4.99 to $9.99 monthly, $29.99 to $59.99 yearly). Numbers from 25+ apps Silpho shipped or has direct data from.

These are conversion rates of free-trial starts to first paid renewal, not first-session-to-trial.

Conversion stages

Tracking just "free-trial-to-paid" misses the diagnostic detail. The real funnel:

1. Install to first session: 80 to 95 percent (most users open the app at least once)

2. First session to onboarding completion: 60 to 85 percent

3. Onboarding completion to paywall view: 70 to 90 percent

4. Paywall view to free trial start: 25 to 50 percent

5. Free trial start to paid renewal: 4 to 20 percent (the headline number)

6. Month 2 retention: 70 to 90 percent

7. Month 12 retention (annual converters): 50 to 75 percent

If your headline conversion is below benchmark, drill into stages 3, 4, or 5 to find the leak.

What good looks like by category

AI utility apps (cover letter, summarizer, identifier)

• Onboarding paywall: 14 to 18 percent

• Hard paywall after 2 free uses: 8 to 12 percent

• Annual offer: $39.99 to $59.99 with $4.99 to $9.99 monthly alternative

Wellness apps (meditation, fitness, breathwork)

• Onboarding paywall: 10 to 14 percent

• Hard paywall after 1 to 2 sessions: 6 to 9 percent

• Annual offer: $29.99 to $79.99

Coldsmith sits in this category.

Entertainment apps (games, AI generators, creative tools)

• Onboarding paywall: 8 to 18 percent (high variance)

• Hard paywall after 3 free uses: 4 to 8 percent

• Annual offer: $19.99 to $49.99 with credit packs as alternative

Aividly is in this category.

Tutor and coaching apps

• Onboarding paywall: 10 to 16 percent

• Hard paywall after 2 sessions: 7 to 11 percent

• Annual offer: $59.99 to $119.99 (higher willingness to pay for education)

Productivity apps (note-takers, trackers)

• Onboarding paywall: 8 to 14 percent

• Hard paywall after 5 to 10 uses: 4 to 7 percent

• Annual offer: $29.99 to $79.99

Common reasons conversion is below benchmark

1. Paywall placement is wrong

The fix: try moving from soft to hard paywall, or from "after 5 uses" to "after 2 uses". The user converts when they feel friction, not before.

2. Annual price is too high relative to monthly

The fix: annual should be 4x to 7x monthly for healthy conversion. If your monthly is $9.99 and annual is $99.99, you're at 10x and converters skew toward monthly.

3. Trial length is wrong

7-day trials convert higher than 3-day or 14-day trials in most categories. 30-day trials convert lower because users forget by day 30.

4. The paywall copy doesn't sell the magical moment

The fix: the paywall headline should reference the specific value the user just experienced, not generic "Premium Access" or "Pro Features."

5. Restore purchases is broken

The fix: test restore on real devices for users who already converted. Broken restore flows show up as artificially low retention.

6. The free experience is too generous

The fix: cap free usage. If users can complete the entire core loop free, they have no reason to convert.

7. Pricing is below willingness to pay

Counterintuitive: too-low prices reduce conversion in some categories because users associate cheap with "not serious." Test $4.99 vs $9.99 vs $14.99 and read the data.

What "good" pricing looks like in 2026

These are price points where revenue per converter is healthy without significant conversion drag.

The trial-end churn problem

Even with healthy free-trial-to-paid conversion, trial-end churn (users who started but cancel before billing) eats 20 to 40 percent of expected revenue.

Fix:

• Remind users 1 to 2 days before trial ends with a notification or email.

• Surface usage stats in the reminder ("You've used Coldsmith 12 times this week").

• Make the cancel flow exit-survey driven so you learn why.

• Win-back campaigns 7 to 30 days after cancellation.

RevenueCat and Stripe both support these flows out of the box.

How to instrument paywall analytics

The events to track:

• paywall_viewed

• paywall_dismissed

• paywall_purchased

• paywall_restored

• trial_started

• trial_canceled

• subscription_renewed

• subscription_canceled

• subscription_expired

In Mixpanel or Amplitude with these 9 events plus user properties (signup date, country, device type), you can answer almost every paywall question.

FAQ

Is iOS or Android paywall conversion higher?

iOS by 1.5 to 3x in most categories. Android users globally have lower willingness to pay for subscriptions; the exception is high-value verticals like education and fitness.

What's the impact of "ATT" (App Tracking Transparency) on paywall conversion?

ATT primarily affects acquisition cost (Apple Search Ads, Facebook Ads), not paywall conversion. Once a user is in your app, paywall conversion mechanics are unchanged.

Should I do A/B testing on paywall variants?

Yes, but only after you've shipped a v1 baseline and have at least 1,000 paywall views per week. Below that volume, A/B tests are noise.

What's the right pricing strategy for a brand new app?

Start at the middle of the category sweet spot. Don't underprice or overprice in v1. Iterate based on real conversion data, not intuition.

How long until I have meaningful paywall data?

Two weeks of normal traffic produces enough volume to see the headline number. Statistical significance on A/B variants takes 4 to 8 weeks at indie scale.

What if my conversion is way above benchmark?

Two possibilities. First: you've hit on a great moment in a high-willingness-to-pay category (good problem). Second: your free experience is too restricted and users feel forced to convert (bad problem; check D30 retention to differentiate).

What if my conversion is way below benchmark?

The diagnostic order: paywall placement, paywall copy, trial length, pricing, restore-purchases bug. In most cases the fix is paywall placement.

Does Silpho ship with paywall analytics wired?

Yes. The Ship React Native boilerplate and every Silpho client launch include RevenueCat with the standard event taxonomy plus a Mixpanel adapter. You get the analytics on day one, not as a post-launch add-on.

Next steps:

• Have Silpho ship paywalls + analytics in 30 days →

• Or DIY with Ship React Native →

• Read the full 30-day launch playbook →

Related deep dives:

• How to build a ChatGPT wrapper that makes money

• How much does it cost to build a mobile app in 2026?