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Dynamic Modelling of Sustainable Product-LED Growth in Digital Products: Freemium Conversion, User Retention and Market Saturation

Author

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  • Ozohu Adejumo

Abstract

Product-led growth has become an important scaling logic for software-as-a-service, platform and other digitally delivered products, yet acquisition, conversion and retention are often managed as separate performance metrics despite operating as an interdependent system. This study develops a literature-informed dynamic model of sustainable product-led growth in freemium digital products, integrating the remaining addressable market, active free users and paying users. The model draws on recent peer-reviewed evidence on digital product management, freemium conversion, software-as-a-service continuance, churn, network effects, subscription retention, and market saturation. Seven product-growth scenarios and four parameter-sensitivity analyses are simulated over 60 monthly periods. The results show that aggressive acquisition accelerates early growth but also depletes the reachable market more rapidly; strong conversion materially enlarges the paying-user base but cannot compensate indefinitely for high churn; and retention becomes increasingly important as a product matures and the remaining addressable market contracts. Network-assisted growth raises medium-term adoption but mainly changes the timing of growth rather than removing saturation constraints. The study therefore argues that sustainable product-led growth should be managed as a dynamic technology-product system rather than as a collection of isolated funnel metrics. It offers a transparent modelling framework that product owners and digital product managers can adapt for scenario planning, experimentation and lifecycle-sensitive growth decisions.

Suggested Citation

  • Ozohu Adejumo, 2025. "Dynamic Modelling of Sustainable Product-LED Growth in Digital Products: Freemium Conversion, User Retention and Market Saturation," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(6), pages 770-788, December.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i6:id:2160
    DOI: 10.32628/CSEIT25113404
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25113404
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