一个月涨粉200万的香港科技大学教授王文博：3大新思维，让品牌不再“自嗨”！

Core Insights - The article discusses the evolving landscape of marketing in the AI era, emphasizing the need for new strategies to engage consumers effectively [4][6]. - It highlights the importance of understanding user insights, brand storytelling, and content generation in the context of AI-driven marketing [7][36]. User Insights - Identifying target user profiles requires analyzing what content occupies their time and influences their mindset, rather than just focusing on purchase or click data [10][11]. - Social media comment sections can reveal users' genuine emotional responses, which can be crucial for understanding their preferences [13]. - The article emphasizes the structural changes in consumer demographics, particularly focusing on the female market, which presents unique opportunities for brands [15][16]. Brand Storytelling - Personal IP (intellectual property) is becoming increasingly important, as it allows for a more humanized connection with consumers compared to traditional corporate branding [36][37]. - Founders should elevate discussions beyond product specifics to broader emotional themes that resonate with target audiences, thus creating deeper connections [39][41]. Content Generation - The article outlines the necessity of adapting content strategies to align with platform algorithms, which prioritize user engagement and retention [59][63]. - It discusses the importance of understanding the underlying logic of AI systems that govern content distribution, emphasizing that content must appeal to both human users and AI algorithms [66][68]. Future Competitiveness - The future of competitive advantage lies in mastering both interpersonal communication skills and the ability to effectively interact with AI systems [72][74]. - Companies must develop a dual understanding of human psychology and AI operational logic to create a sustainable business model in the AI era [72][74].