The research develops a comprehensive theoretical framework integrating three core dimensions: (1) the digital asset economy, including NFTs and blockchain-enabled ownership structures; (2) AI-driven behavioral intelligence, encompassing avatar analytics, purchase prediction, and immersive personalization; and (3) governance and risk moderators, including cybersecurity, privacy, regulatory compliance, and cultural acceptance. Building upon these dimensions, the study proposes the Metaverse Marketing Management Model (M³ Model), a five-layer strategic architecture consisting of the Data Layer, AI Analytics Layer, Immersive Brand Design Layer, Engagement Strategy Layer, and Performance & ROI Measurement Layer.
The model reconceptualizes marketing management from communication optimization to immersive ecosystem orchestration, where firms operate as architects of experiential digital environments. The study contributes to marketing theory by integrating digital asset economics with AI-powered spatial analytics and introducing governance mechanisms as structural moderators of sustainable performance. The paper concludes that while metaverse marketing offers unprecedented opportunities for engagement depth, brand loyalty, and revenue diversification, its sustainable implementation depends on robust cybersecurity infrastructures, ethical AI governance, adaptive regulatory compliance, and culturally responsive strategies.