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.¹²

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.²³

Trial conversion. Switch from absolute to relative to see start rate and trial-to-paid (benchmarks in Subscription funnel benchmarks (trial start, trial-to-paid, install-to-paid, LTV per install)).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.⁵⁶⁷

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 — video, photos and social proof).⁷⁸

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 funnel benchmarks (trial start, trial-to-paid, install-to-paid, LTV per install)

Footnotes

1. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 01:12 — Steve P. Young ↩ ↩²

2. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 02:00 — Steve P. Young ↩ ↩²

3. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 02:50 — Steve P. Young ↩

4. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 04:01 — Steve P. Young ↩

5. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 04:49 — Steve P. Young ↩

6. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 05:38 — Steve P. Young ↩

7. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 06:31 — Steve P. Young ↩ ↩² ↩³

8. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 07:43 — Steve P. Young ↩

9. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 09:13 — Steve P. Young ↩

10. Are You Ignoring These RevenueCat Features? (Stop Losing Money) @ 10:10 — Steve P. Young ↩