Core Insights - The TikTok live streaming ecosystem is experiencing significant growth, with the number of global guilds surpassing 200,000, but the top 10% of guilds account for 80% of the revenue, making rapid approval through platform review crucial for capturing opportunities [1] Group 1: Application Preparation - The core preparation for application involves ensuring compliance and operational capability, which directly influences the success of the application [3] - TikTok requires that the applying entity be a foreign-registered company, with significant regional differences in requirements that can lead to immediate rejection if not adhered to [3] - A complete set of materials is essential, including three core document categories: basic qualifications, team materials, and business planning, with a strict adherence to clarity and compliance [3][5] Group 2: Application Process - The application process consists of four stages, and following a structured approach can reduce the timeline to 15-20 working days [4] - Pre-application self-check is crucial, utilizing TikTok's self-check tool to verify business license validity and compliance with operational scope [4] - Official submission should be done through the TikTok website, ensuring accurate information entry and timely follow-up on application status [4][6] Group 3: Post-Approval Configuration - After approval, three core configurations must be completed within five working days, including account security settings and payment information [9] - Understanding the platform's rules and management operations is essential to avoid missing out on support resources [7] Group 4: Compliance and Risk Management - The 2025 TikTok guild policy emphasizes compliance and differentiation, with specific strategies to enhance approval rates [8] - Common pitfalls include vague operational plans and misalignment of guild focus, which can lead to application rejection [9] - New guilds can benefit from initial high revenue sharing rates, with potential for exclusive arrangements based on performance metrics [8]