---
title: RevenueCat charts and features worth using
slug: revenuecat-charts-and-experiments
summary: The RevenueCat views Steve checks — revenue by country/transaction type/product, relative trial conversion, realised LTV per customer, Apple Ads attribution — plus Experiments, Paywalls and web Funnels.
domain: mobile-apps
tags: [monetization, revenuecat, analytics, ab-testing, tools]
related: [subscription-conversion-benchmarks, paywall-visuals-and-social-proof, weekly-vs-yearly-plans-and-trial-placement, app-break-even-cpi-and-revenue-per-install, apple-ads-attribution-without-mmp, web2app-tools-and-providers]
sources: [yt:2oq2OlqfTro]
updated: 2026-10-23
---

# RevenueCat charts and features worth using

## TL;DR
- **Revenue → segment by Country**: spot unexpected markets (Steve found traction in Kenya for a new app → started local ASO/Apple Ads).
- **Revenue → Transaction type** (new vs renewal): new revenue should outpace renewals; renewals > new = a dying app.
- **Revenue → Product**: which plan earns most (yearly for Steve's 37k-MRR app).
- **Trial Conversion (relative)**: start rate and trial-to-paid — the two numbers Steve asks every client.
- **Realised LTV per customer**: vary the lifetime window (30 days → 12/18/24 months) to see how long payback takes.
- **Experiments** for A/B tests even with custom paywalls; read initial conversions *and* LTV/revenue at the bottom of the full report.

## Details
Example app: ~$37k MRR health & fitness app Steve's team bought.[^1] Country segmentation (under customer segmentation) shows most revenue from the US, some Canada/UK.[^1][^2]

**Transaction type.** January: ~$56k total, ~$22–23k renewals, ~$34k new. July had lower new and higher renewal revenue — not the trend Steve wants; it coincided with reduced ad spend (most profitable month, but new sales must keep growing). Clients whose renewals outpace new revenue are living off old users.[^2][^3]

**Trial conversion.** Switch from absolute to relative to see start rate and trial-to-paid (benchmarks in [[subscription-conversion-benchmarks]]).[^4]

**Realised LTV per customer.** Key for deciding whether paid media can work; Steve's rule of thumb is ~$3. His app: ~$3 at 30 days and still only ~$3.3 at 12, 18 and 24 months — so waiting longer doesn't change much. Levers: conversion rates and pricing.[^5][^6][^7]

**Apple Ads attribution.** RevenueCat can act as an attribution source for Apple Ads (Acquisition → by campaign); Steve couldn't get it working but has seen clients do it.[^7]

**Paywalls / Experiments.** Steve finds RevenueCat's paywall builder basic and uses a custom paywall, but runs A/B tests with Experiments — e.g. money-back-guarantee copy ([[paywall-visuals-and-social-proof]]).[^7][^8]

**Funnels (web2app).** Steve plans to test RevenueCat web funnels for an older audience whose Meta ads have great hook/hold rates and CPIs but installs that don't convert — hypothesis: they'd rather buy on the web.[^9]

**API → AI reports.** Pull RevenueCat data via API and have Claude build an internal dashboard/weekly report.[^10]

## Disagreements / caveats
- Feature set as of Aug 2026. Steve's channel often partners with tool vendors; treat tool praise accordingly.

## See also
- [[subscription-conversion-benchmarks]]

[^1]: yt:2oq2OlqfTro @ 01:12 — Steve P. Young
[^2]: yt:2oq2OlqfTro @ 02:00 — Steve P. Young
[^3]: yt:2oq2OlqfTro @ 02:50 — Steve P. Young
[^4]: yt:2oq2OlqfTro @ 04:01 — Steve P. Young
[^5]: yt:2oq2OlqfTro @ 04:49 — Steve P. Young
[^6]: yt:2oq2OlqfTro @ 05:38 — Steve P. Young
[^7]: yt:2oq2OlqfTro @ 06:31 — Steve P. Young
[^8]: yt:2oq2OlqfTro @ 07:43 — Steve P. Young
[^9]: yt:2oq2OlqfTro @ 09:13 — Steve P. Young
[^10]: yt:2oq2OlqfTro @ 10:10 — Steve P. Young