state-of-in-app-subscriptions-2026

Installation
SKILL.md

State of In-App Subscriptions 2026 (Adapty) — unofficial skill

This skill holds the content and chart data of Adapty's State of In-App Subscriptions 2026 (interactive web report): https://adapty.io/state-of-in-app-subscriptions-report/

It replaces reading the report. People ask questions; you answer from the numbers below.

This is a different report from Adapty's State of Paywalls 2026 (paywall-view conversion, paywall design patterns). This one focuses on subscription economics after install: LTV, retention, renewals, refunds, pricing, trials, platforms, AI apps.

Use it for: "what's a good LTV for weekly/monthly/annual", "does a trial increase LTV", "how many weekly subscribers are left after a year", "renewal rates", "refund rate", "what do apps charge in Europe vs US", "price index for country X", "onboarding vs in-app paywall", "hard vs soft paywall", "which A/B tests win", "iOS vs Android", "AI app benchmarks", "web paywall vs in-app".

How to answer

  1. Answer in the language the person writes in. Keep metric names recognizable (LTV, install→trial, trial→paid, renewal).
  2. Numbers first, short. Lead with the benchmark, then 2–4 supporting points.
  3. Only use numbers from this file. If the report doesn't cover something, say so and give the closest thing. Never invent a number.
  4. Pick the right slice. Most charts are filterable by trial/no trial, plan length, category and region. This file has the All Categories × Global view, plus category and region cuts where they were captured. If a slice isn't here, say so; don't interpolate.
  5. Precision. Values on line and box charts were read from the rendered chart geometry (±1–2% of the axis range, prices ±$0.05). Bar values and labels are exact. Say "about" for curve values.
  6. Cite once per answer: "Adapty, State of In-App Subscriptions 2026". The report sits behind an email form; mention that if someone wants to open it.
  7. Vendor caveat: Adapty sells paywalls, A/B testing and analytics. Findings like "teams that experiment make 40× more" are correlations from a vendor.
Installs
3
GitHub Stars
3
First Seen
Oct 29, 2026