
RevenueCat reported that AI-powered apps struggle with long-term retention compared to non-AI applications.
The study highlights a significant market dynamic where early monetization success does not translate to sustained customer loyalty. The findings are based on data from over 75,000 developers managing more than $11 billion in annual revenue.
Subscribers cancel annual subscriptions 30% faster for AI apps than for non-AI apps, according to the report. Annual retention rates after 12 months are 21.1% for AI apps, compared with 30.7% for non-AI apps. Monthly retention rates are 6.1% for AI apps versus 9.5% for non-AI apps.
Weekly retention is the only timeframe where AI apps show higher rates at 2.5%, compared with 1.7% for non-AI apps. The report notes that weekly subscriptions are not the most popular option for AI apps.
AI apps have 20% higher refund rates than non-AI apps, at 4.2% versus 3.5%. The upper bound for refund rates is 15.6% for AI apps versus 12.5% for non-AI apps, suggesting greater revenue volatility.
Despite retention issues, AI apps convert trial users to paid customers 52% better, with an 8.5% conversion rate versus 5.6% for non-AI apps. AI apps also monetize downloads 20% better, at 2.4% versus 2% for non-AI apps.
AI apps generate 39% higher monthly realized lifetime value, at $18.92 per month compared with $13.59 for non-AI apps. Annual realized lifetime value is 41% higher for AI apps, at $30.16 versus $21.37.
The report states that AI apps account for 27.1% of apps across all categories on the platform. Photo & Video apps have the highest share of AI-powered apps at 61.4%, while Gaming has the lowest at 6.2%.
RevenueCat’s analysis is based on subscription app providers using its tools to manage over 1 billion in-app transactions. The company offers subscription management tools used by over 75,000 app developers.