Content Selection - Content is crucial for attracting users, but not all content is suitable for publication. Operators need to understand the interests and needs of their target audience to avoid posting vulgar, sensitive, or controversial content [1][2] - Conducting thorough market research before creating content is essential to ensure compliance and appropriateness [1] User Interaction Management - User comments reflect the popularity of content but can also be potential pitfalls. Negative comments or malicious attacks may harm the overall image [1] - Operators should manage negative comments promptly and maintain a positive interaction atmosphere, avoiding disputes with users [1] Posting Frequency and Timing - The frequency and timing of content publication directly affect user experience and account activity. Finding a reasonable posting rhythm is crucial [2] - Posting during peak user activity times can enhance content exposure and interaction rates [2] Copyright and Intellectual Property - Caution is necessary when using others' music, videos, or images to avoid copyright infringement. Operators should use platform-provided materials or create original content [2] - Understanding copyright knowledge is essential to prevent account penalties or bans due to copyright issues [2] Algorithm Changes - Operators need to stay updated on changes in Douyin's recommendation algorithm to adjust their operational strategies accordingly [2] - Engaging with industry news and utilizing data analysis tools to evaluate content performance are important for maintaining competitiveness [2] Data Analysis - Data analysis is fundamental for understanding user preferences and behaviors, allowing operators to adjust content strategies [3] - Monitoring metrics such as likes, comments, and shares helps assess content popularity, while analyzing viewing duration and retention time provides deeper insights into user needs [3] Conclusion - Avoiding pitfalls in Douyin operations requires a multifaceted approach, including content selection, user interaction, posting frequency, copyright issues, algorithm changes, and data analysis [3] - Continuous learning and adaptability are vital for success in a competitive market [3]