更值得注意的是,抖音算法对素材生命周期的不同阶段采用差异化的权重策略。当新素材刚刚上线,系统会分配一定量级的探索性流量,这个阶段点击率的权 重占比会被放大到80%甚至更高。如果素材在冷启动期展现出良好的用户反馈,系统会逐步扩大流量分配,同时转化率的权重会相应提升。进入成熟稳定期 后,点击率与转化率会形成相对均衡的权重配比,通常维持在6:4左右。根据青瓜传媒的最新报道,2025年2月抖音算法架构重构之后,这种分阶段权重调配机制 的颗粒度变得更加精细。 那些在ECPM指标上持续领先的商家,普遍掌握了一套行之有效的方法论:在正式批量投放之前,必须完成充分的素材测试环节。他们通常会制作十几条甚至 数十条不同版本的素材,通过控制预算规模进行小范围测试,筛选出点击率表现最优的几条,再集中资源进行规模化投放。这套流程虽然被验证有效,但人工执 行的效率问题始终难以解决,而且判断的准确性高度依赖个人经验。杭州某服装电商团队的负责人透露,他们每个月仅在素材测试环节就要消耗超过200个小 时的人力成本。 在抖音电商圈子里流传着一个现象：很多商家投入了大量预算，出价也不比同行低，但ECPM数据就是追不上竞争对手。有人尝试不断调整出价 ...

Core Viewpoint - Understanding and mastering AI is crucial for businesses in a recommendation algorithm-driven e-commerce platform, as it directly influences brand visibility and sales performance [1][4]. Group 1: Algorithm Understanding - The recommendation algorithm on platforms like Douyin (TikTok) determines the flow of traffic for brands, making it essential for practitioners to comprehend its mechanics [1][6]. - Algorithms do not categorize content or audiences in traditional ways; instead, they utilize vast features to describe individuals or content through vectorization [3][4]. Group 2: Content Strategy - Emphasizing "content is king" and diversifying selling points is aimed at providing more features for the algorithm, which is critical for effective strategy execution [4][5]. - A clear and quantifiable representation system for commercial content teams is necessary to enhance algorithm recognition and improve brand visibility [7][8]. Group 3: Brand Analysis Method - The article suggests a method for analyzing brand performance by leveraging AI to dissect successful advertising materials, focusing on various attributes such as category, format, duration, and emotional tone [12][13]. - AI can assist in identifying key features in successful content, allowing brands to refine their strategies and enhance their representation systems [20][21]. Group 4: Storytelling and Consumer Engagement - Storytelling in marketing, particularly through relatable scenarios, can effectively engage target consumers and enhance brand connection [10][11]. - The article provides a framework for creating engaging content that resonates with young female consumers, emphasizing the importance of relatable interpersonal dynamics [28][29]. Group 5: Continuous Improvement - Brands should continuously refine their content strategies by repeating key features to strengthen model recognition and avoid irrelevant representations that could lead to misalignment with target audiences [22][23]. - The use of AI in content creation can lead to innovative approaches, allowing brands to explore new narrative possibilities that resonate with their audience [33][34].