抖音投流定向策略全解析：从基础定向到AI智能优化的完整路径

Core Insights - The effectiveness of Douyin's advertising, particularly through the Leica targeting feature, varies significantly among different product categories, with beauty products achieving a targeting accuracy of 65%-75% while home goods hover around 40%-50% [1][3] - Douyin plans to implement substantial merchant support policies in 2025, including a 13.5 billion yuan subsidy for product commissions, encouraging merchants to explore diverse advertising strategies [1] Targeting Strategies - A combination of various targeting methods, rather than relying on a single approach, has proven to be the most effective strategy for advertisers [3] - Basic targeting is beneficial for broad coverage, especially during the initial market testing phase, while Leica targeting can enhance precision once sufficient data is collected [3][6] - Influencer targeting can yield conversion rates 20%-30% higher than pure Leica targeting by directly reaching the fan base of competitors or top influencers [3] DMP and AI Utilization - DMP (Data Management Platform) is often underestimated; even with a limited dataset, effective user segmentation can be achieved through proper tagging and lookalike audience expansion [3][6] - The application of AI in e-commerce is transforming targeting strategies, allowing for automated user profiling and real-time adjustment of advertising strategies based on historical data [5][11] Evolving Advertising Landscape - Douyin's algorithm is shifting towards predictive recommendations and multi-dimensional assessments, necessitating a more dynamic and layered targeting strategy from advertisers [8][9] - The synergy between content creation and targeting strategies is crucial; aligning creative content with the appropriate targeting can significantly enhance advertising effectiveness [9][11] Future Considerations - Advertisers must adapt their targeting strategies based on product category, advertising phase, and budget, focusing on data analysis and technological tools to refine their targeting systems [11] - The rapid evolution of AI technology in advertising optimization emphasizes the need for businesses to transition from experience-based decision-making to data-driven strategies [11]