电商新知
昼影电商智库全栈播客 -《电商新知》感谢关注！我将会每天为你带来最新的电商行业动态、运营技巧、成功案例解析以及专家访谈。
电商从来不是‘靠运气试错’的生意，而是需要系统化知识支撑的学科。期待和我们一起拆解电商本质，跟着实战案例学全栈运营，从‘零散凑技巧’变成‘体系化增长’。
一起把电商这件事做深、做透，拿到实实在在的增长结果！”
感谢收听。想获取播客核心笔记或更多电商实战干货，欢迎关注公众号「昼影电商智库」，回复【资料】领取干货包，我们只讲落地，只重结果。
| Publishes | Weekly | Episodes | 141 | Founded | a year ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Categories | EducationHow ToBusinessEntrepreneurship |
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Latest Episodes
2026 淘系 AIGB-Pearl、LUM 双 AI 引擎全面落地，传统运营方法大幅失效。
本期拆解两大模型底层原理，分享六步落地实操方案，从选品、人群出价到内容、数据监控全链路升级。规避脏数据、无差别拓量等误区，学会协同 AI 捕捉用户实时场景意图，优化预算消耗效率，最大化店铺投产，吃透生成式投放新红利。
感谢收听。想获取播客核心笔记或更多电商实战干货，欢迎关注公众号「昼影电商智库」，回复【资料】领取干货包，我们只讲落地，只重结果。
淘系算法迎来根本性变革，RecGPT 生成式推荐取代传统关键词检索。本期拆解生成式召回底层逻辑，梳理流量、用户、内容三大运营巨变，分享标题、短视频、付费投放全新实操思路，讲解场景搭建 + 样本投喂核心闭环。抛弃堆词卡排名老旧思维，转向语义意图运营，沉淀优质店铺人群资产，适配 2026 全域推荐流量新规则。
分段内容：02:18 生成式召回和传统推荐系统在技术架构和逻辑上的不同点：04:18 生成式推荐下的运营策略五大调整：场景化内容成为连接用户和商品的核心桥梁06:38 AI推荐系统下的场景化表... more
万象台无界六种投放模式怎么选？为什么有人烧钱没效果，有人却稳稳盈利？搞懂预算、目标、人群和流量逻辑，才能避开坑、打准靶。
你的店铺该用哪种模式？02:07 投放模式选择的关键维度和核心目标，你搞清楚了吗？04:26 揭秘标准模式：适合高客单、高复购标品的拉新利器！06:42 点击模式与标准模式：流量分配方式的差异及其适用场景分析08:54 点击模式与最大化模式：流量投放的逻辑差异及适用场景分析11:04 最大化模式与控ROI模式：的不同特点及使用场景分析13:06 控ROI模式：淡季盈利维稳的利... more
本期节目拆解淘系非标品类七阶打品算法召回模型，针对非标商家冷启动难、流量杂乱、低价内卷等痛点，区分标品关键词玩法，详解非标以风格、场景、内容、人群向量为核心的增长逻辑。
全程按七大阶段依次讲解：从新品标签基建、场景成交破局，到人群梯度放量、三端内容爆发，再到精细化盈利、冲刺细分头部、爆款模型全店复制。
结合算法规则、投放策略与内容玩法，分享各阶段实操要点与避坑技巧。整套体系适配服饰、家居、定制等非标类目，帮商家吃透平台召回逻辑，搭建标准化运营流程，跳出价格战，实现从单品起量到全店批量打爆的长效增... more
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #10 | China/Business/Entrepreneurship |
Apple Podcasts | #28 |  Hong Kong/Business/Entrepreneurship |
Apple Podcasts | #125 | China/Business |
Apple Podcasts | #237 | Hong Kong/Business |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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How many episodes of 电商新知 are there?
电商新知 launched a year ago and published 141 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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