In fact, recent data indicates that AI-powered mobile applications can bring in 4x the revenue of their non-AI counterparts. These new AI apps have real difficulty keeping users engaged months down the road. These results show that AI apps represent a major segment of the app market. Even with all these palatable nuggets, the question of how to retain users is still a big one.
AI applications represent the largest share—27.1%—of all apps in various categories. At the same time, non-AI applications enjoy a solid market leadership at 72.9%. Retention weekly retention rates for AI apps are 2.5%, which is higher than the 1.7% retention rate of non-AI apps. The gap narrows over longer periods: AI apps achieve a monthly retention rate of 6.1%, compared to 9.5% for non-AI apps, resulting in a 3.4 percentage point difference.
What the annual retention numbers show is a patently obvious disparity. AI apps have a retention rate of just 21.1%, but non-AI apps win out with 30.7%. AI applications can gain a foothold early by promising new features and novel use cases. They frequently fail to keep users coming back on a long-term basis.
Even with these challenges, the economic performance of AI apps is staggering. Annually, they grow realized lifetime value (RLTV) by 41% or more. The median annual RLTV for AI apps is $30.16. This number already beats the $21.37 median RLTV for non-AI apps. Moreover, AI apps produce 39% higher median monthly RLTV of $18.92 vs. $13.59 for non-AI apps.
RevenueCat, a company specializing in app revenue insights, commented on the situation, stating that there is “greater volatility in realized revenue and deeper issues in user value, experience, and long-term quality.” This observation underscores the need for developers to address user retention strategies while capitalizing on the revenue potential of AI applications.
Though we see huge revenue potential in AI apps, their sustainability is dependent on being able to increase user engagement. Developers need to be proactive in improving the user-facing experience. This added retention focus will go a long way to combat churn and keep stable revenue flowing year over year.
Statistically the race is all lopsided in favor of AI apps on first impressions. More importantly, they stand to provide greater benefits per user. The greater challenge is making sure those first downloads become long-term, dedicated users. These users must continue to use the app consistently for a long time.
