AI AS A TOOL FOR IMPROVING THE QUALITY OF DIGITAL PRODUCTS, USER ENGAGEMENT, AND RETENTION

Abstract

The article explores the critical problem of optimizing digital product quality within a highly competitive global market. Merely launching a functionally sound application is insufficient; long-term commercial success depends on retaining users and cultivating consistent, habit-forming engagement. Utilizing the AARRR framework, the study illustrates how retention serves as the foundational pillar for sustainable business models, directly impacting customer acquisition cost (CAC) and customer lifetime value (LTV). Key influencers on these behavioral metrics–including the core value proposition, intuitive user experience (UX) design, and personalized communication strategies–are systematically analyzed.
Furthermore, the research demonstrates that integrating artificial intelligence (AI) fundamentally transforms traditional audience interaction. By shifting from static to dynamic designs, AI enables real-time adaptation. Specific applications, such as predictive churn modeling, intelligent recommendation systems, and adaptive interfaces, are examined as pivotal tools for proactively managing user lifecycles.
Theoretical findings are empirically validated through an analysis of two practical cases: a Mobility-as-a-Service application and an EdTech platform. Results confirm the profound effectiveness of deploying AI algorithms and smart onboarding processes. These interventions significantly reduce early user churn, enhance daily active usage, optimize operational costs, and shorten the time-to-value period, ultimately securing a loyal user base and driving long-term financial stability.