User Profile-Driven Product Iteration and Innovation on TikTok: Mechanisms, Effectiveness, and Cross-Industry Applications

Abstract: This paper focuses on Tik Tok as the core research subject. Through case analysis and data-driven empirical methods, it deconstructs the platform’s closed-loop iteration mechanism of “Data Collection – Profile Modeling – Demand Insight – Iteration Implementation – Feedback Evaluation.” The study emphasizes key aspects such as tag system construction, user segmentation, and two-way empowerment, quantifying its impact on user interaction, retention, and commercial conversion. It further distills transferable practical experience applicable across industries, aiming to provide enterprises with precise product iteration solutions.