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In-app purchase conversion rate: what's normal, and where to read yours

"In-app purchase conversion rate" is three ratios wearing one name. Out of 100 downloads of a typical subscription app, about 6 start a trial, roughly 2 to 3 of those pay, and by day 35 somewhere between 1.5 and 2.7 of the original 100 are paying customers. Hard-paywall apps report numbers five times higher on the last ratio, and the reason is arithmetic, not magic.

Downloads 100 first-time, all sources Trial starts 6 median 6.2% top tenth 20% Paying by day 35 2.2 freemium median trial → paid: 30% under five days, about 45% for longer trials
A median subscription app, RevenueCat 2025 data. The spread around every box is wide; the shape is what to remember.

Three ratios, one phrase

Apps with one-off purchases instead of subscriptions collapse the middle step: download to paid is the only ratio, and it usually lands in the same 1 to 3% band for freemium apps.

The benchmarks, with their fine print

RatioMedianStrongWhat shifts it
Download → trial6.2%20% (top 10%)Price point: 9.8% for higher-priced apps, 4.3% for cheaper ones
Trial → paid, trial of 1 to 4 days30%50%+Trial length; short trials convert worst
Trial → paid, 5 days or longer44 to 46%66%+Category: Travel 49%, Health and Fitness 40%
Download → paid, day 35, freemium2.2%5.5% (upper quartile, North America)Geography, price, paywall timing
Download → paid, day 35, hard paywall12.1%higher stillFewer, pre-qualified downloads

The pattern inside the table: whatever filters people out earlier makes the later ratio look better. Higher prices scare off casual trial starters, so the ones who start convert more often. Hard paywalls scare off casual downloaders, so the ones who download pay more often. None of that is wrong, but it means a 12% app and a 2% app can earn the same money from the same impressions. The hard paywall guide covers what that filtering does to rankings; the pricing model guide covers when it is worth it.

Where App Store Connect shows yours

Nowhere in one place, which is why this question gets searched. The pieces:

Analytics → Metrics Total Downloads Paying Users In-App Purchases (count) Proceeds per Paying User opt-in users only · 2 to 3 day lag Sales and Trends → Subscriptions Introductory offer starts (trials) Conversions to standard price Subscription conversion rate Active, churned, by territory every transaction · next-day
Left side for the install base and who pays, right side for how trials turn into subscriptions. Download-to-paid is left ÷ left; trial-to-paid is right.

Reading these every week is the habit that pays, and it is the habit nobody keeps, because it is three screens and a calculator. FunnelHound reads downloads and purchases from the same API credentials and shows purchases as a share of installs as one pill on the funnel, so the purchase ratio sits right under the install ratio it depends on.

Moving the number

Purchases as a share of installs, one pill

FunnelHound draws impressions, page views, installs and purchases as one funnel on your iPhone, with each stage rate on its own pill. When the last pill slips after a paywall change, you see it that week, not at tax time.

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Data notes: benchmark figures from RevenueCat's State of Subscription Apps 2025 (75,000+ apps; trial start median 6.2%, P90 20.3%; day-35 download-to-paid medians 2.18% freemium and 12.11% hard paywall; 2.66% higher-priced vs 1.49% lower-priced) and RevenueCat's trial length analysis (10,000+ apps; 30% median for 1 to 4 day trials, 44 to 45% for 5 to 32 days). Medians hide wide spreads; your category and price band matter more than the headline. App Store Connect screen names as of 2026.