第一名又是“国民闺蜜”赵露思？淘宝2025明星带货王排名出炉了

龚作仁 2025-12-17 11:20

龚作仁 2025/12/17 11:20

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淘宝2025年度榜单揭示了流行趋势和明星带货力，为消费者提供实用购物参考。

1. 重点信息：赵露思蝉联明星带货王冠军，其同款商品成交环比暴增1518%；排骨羽绒服成秋冬顶流单品，搜索人气450%，成交涨幅650%，登顶年度榜单。

2. 实操干货：关注明星同款如赵露思的“许妍同款”带动迪木尔风成交增长710%，或刘亦菲的“满天星造型”拉动欧若风上涨250%，可快速提升穿搭时尚度；利用淘宝趋势榜单选择热门风格如琥珀流光风、Ridercore骑士风，成交分别增长420%，轻松获取性价比商品。

3. 流行捕捉：淘宝从社交媒体、时装周提炼趋势，帮助用户将秀场时尚转化为日常选择，通过搜索和购买定义个人衣橱。

淘宝榜单为品牌营销和产品研发提供深度洞察，助力品牌建设。

1. 品牌营销：明星代言效应显著，如杨幂身着“北朝褶衣”带动原创品牌汀兰颂日销翻100倍，新中式褶衣入围十大单品榜；赵露思推动迪木尔风成交增长710%，显示明星合作可大幅提升品牌曝光。

2. 消费趋势：排骨羽绒服需求激增，成交涨幅650%，乐曼世品牌单款销售2000万，反映薄款羽绒服市场潜力；用户行为显示年轻消费者追热点如Ridercore骑士风，因范丞丞上身而流行，增长420%，品牌可借势研发新品。

3. 渠道启示：淘宝平台联动商家放大趋势，帮助减少决策成本，提升押中爆款几率，如乐曼世在平台指导下成功all in排骨羽绒服。

淘宝平台提供增长机会和风险规避策略，助力卖家业务提升。

1. 增长市场：消费需求变化如薄款羽绒服品类翻3倍，排骨羽绒服成交涨幅650%，成为新生意增量；机会提示：押注趋势单品如迪木尔风或欧若风，可带动成交增长710%或250%，创造高回报。

2. 事件应对：明星事件如刘亦菲红毯造型拉动欧若风上涨250%，卖家可借势营销应对热点；风险提示：未押中趋势可能损失资源，但平台提供趋势预测减少不确定性；可学习点：淘宝小二指导如建议all in排骨羽绒服，帮助乐曼世单款卖2000万。

3. 合作方式：平台与商家联动透传趋势，缩短打爆链路，如从站外种草到站内爆发，提升成功率；扶持政策体现在算法提炼高确定性风格，帮助减少决策成本。

淘宝流行趋势引导产品生产和设计，创造电商商业机会。

1. 产品需求：排骨羽绒服热销，成交涨幅650%，搜索人气450%，工厂可增加相关生产；设计需求紧跟时尚如琥珀流光风、新中式褶衣或Ridercore骑士风，反映消费者偏好轻薄、复古元素。

2. 商业机会：与电商品牌合作案例丰富，如乐曼世单款排骨羽绒服销售2000万，显示薄款羽绒服市场扩张潜力；推进数字化启示：利用淘宝趋势数据优化供应链，减少库存风险，提升响应速度。

3. 电商启示：平台从社交媒体、时装周捕捉趋势，帮助工厂提前筹备生产；如乐曼世在淘宝指导下押注排骨羽绒服，实现品类突破，启示工厂紧跟平台预测以把握机会。

淘宝趋势捕捉机制揭示行业发展趋势和解决方案，为服务商提供参考。

1. 行业趋势：流行风格从站外种草到站内爆发，如Ridercore骑士风因范丞丞带动成交增长420%，或迪木尔风增长710%，显示社交媒体驱动电商转化；新技术应用：淘宝通过算法学习、人工校验提炼高确定性趋势，如基于时尚预测报告和四大时装周数据。

2. 客户痛点：商家决策成本高、风险大，如未押中趋势可能导致资源浪费；解决方案：平台提供趋势洞察和联动支持，帮助提升押中爆款几率，例如排骨羽绒服案例中，淘宝指导商家减少不确定性。

3. 发展前景：淘宝放大流行密码为穿搭风潮，创造新品类如排骨羽绒服成为年度顶流，启示服务商开发相关工具或服务，助力商家缩短打爆链路。

淘宝作为平台商，通过榜单和趋势预测优化运营管理，满足商业需求。

1. 平台做法：发布年度榜单基于热度指数、趋势指数、成交情况拟合计算，成为权威试金石；最新做法如从时尚机构预测、社交媒体捕捉潜力趋势，通过算法和人工校验提炼风格，帮助商家减少决策成本。

2. 商业需求：商家需要降低风险和提高爆款几率；平台响应：联动商家透传趋势，如指导乐曼世押注排骨羽绒服，实现单款销售2000万；招商机会：榜单吸引关注，提升平台活跃度，如明星带货王效应带动用户参与。

3. 运营管理：平台与商家合作缩短打爆链路，提升押中率；风向规避：提供趋势预测帮助商家避免押错，如未流行单品风险，同时通过榜单管理消费风向。

淘宝榜单反映电商与时尚产业整合动向，提供研究启示。

1. 产业动向：明星带货力如赵露思蝉联冠军，验证商业价值持续提升；新问题：如何精准预测流行趋势避免资源浪费，如淘宝摸索的算法和人工校验路径。

2. 政策启示：平台角色在促进消费民主化，如将秀场时尚转化为大众选择；商业模式：共创爆款机制，如平台与商家联动放大排骨羽绒服为国民爆款，成交涨幅650%，创造新生意增量。

3. 消费者行为：真实搜索和购买定义流行，显示用户行为变化如追明星同款；研究价值：榜单成为生活印记记录，启示产业关注消费者驱动趋势的模式。

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声明：快读内容全程由AI生成，请注意甄别信息。如您发现问题，请发送邮件至 run@ebrun.com 。

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Quick Summary

Taobao's 2025 rankings reveal key trends and star power, offering practical shopping guidance.

1. Key Insights: Zhao Lusi remains the top celebrity endorser, with sales of her featured items surging 1518% month-over-month. Ribbed down jackets became the top winter item, with search popularity up 450% and sales growth of 650%, topping the annual chart.

2. Practical Tips: Following star-endorsed styles, like Zhao Lusi's "Xu Yan look" which boosted Dimuer-style sales by 710%, or Liu Yifei's "Starry Sky look" driving Aurora-style growth by 250%, can quickly elevate fashion sense. Leveraging Taobao's trend charts for popular aesthetics like Amber Glow or Ridercore, which saw 420% sales growth, helps consumers find value-for-money items.

3. Trend Spotting: Taobao extracts trends from social media and fashion weeks, helping users translate runway fashion into everyday wardrobe choices, defined through search and purchase behavior.

Taobao's rankings offer deep insights for brand marketing and product development, aiding brand building.

1. Marketing Impact: Celebrity endorsements are highly effective; for example, Yang Mi wearing "Northern Dynasty Pleated Garments" boosted original brand Tinglansong's daily sales 100-fold, with New Chinese-style pleated items making the top ten list. Zhao Lusi drove a 710% sales increase for Dimuer-style, demonstrating the power of star collaborations for brand exposure.

2. Consumer Trends: Demand for ribbed down jackets surged, with a 650% sales increase. Lemansi sold 20 million units of a single style, highlighting the potential of lightweight down markets. Youth-driven trends like Ridercore, popularized by Fan Chengcheng, grew 420%, suggesting brands can capitalize on hot topics for product innovation.

3. Channel Strategy: Taobao amplifies trends through merchant collaboration, reducing decision-making costs and increasing hit rates. For instance, Lemansi successfully focused on ribbed down jackets with platform guidance.

Taobao provides growth opportunities and risk mitigation strategies to enhance seller performance.

1. Market Growth: Changing consumer demand, such as the three-fold increase in lightweight down jacket categories and 650% sales growth for ribbed styles, creates new business increments. Capitalizing on trends like Dimuer-style (710% growth) or Aurora-style (250% growth) can yield high returns.

2. Event Response: Leveraging celebrity events, like Liu Yifei's red-carpet look driving 250% growth for Aurora-style, allows sellers to ride hype. Platform trend predictions reduce uncertainty; for example, Taobao's guidance helped Lemansi sell 20 million units of a ribbed down jacket.

3. Collaboration Model: Platform-merchant synergy shortens the path to product virality, from off-site buzz to on-site sales spikes. Support policies include algorithm-curated high-certainty trends to lower decision costs.

Taobao's trends guide production and design, creating e-commerce opportunities.

1. Product Demand: Ribbed down jackets saw 650% sales growth and 450% search popularity, indicating production potential. Designs must align with trends like Amber Glow, New Chinese-style pleats, or Ridercore, reflecting consumer preferences for lightweight and retro elements.

2. Business Opportunities: E-commerce collaborations, such as Lemansi's 20 million-unit sales of a ribbed down jacket, show market expansion potential. Digitalization insights: Use Taobao trend data to optimize supply chains, reduce inventory risks, and improve responsiveness.

3. E-commerce Lessons: The platform captures trends from social media and fashion weeks, enabling factories to prepare early. Lemansi's success with Taobao's guidance underscores the value of aligning with platform predictions.

Taobao's trend mechanisms reveal industry developments and solutions for service providers.

1. Industry Trends: Styles transition from off-site buzz to on-site virality; Ridercore grew 420% due to Fan Chengcheng, while Dimuer-style rose 710%, highlighting social media's role in e-commerce conversion. Tech applications: Taobao uses algorithm learning and manual verification to identify high-certainty trends, leveraging fashion forecasts and major fashion week data.

2. Client Pain Points: High decision costs and risks, such as misaligned trends leading to resource waste. Solutions: Platform insights and collaboration support increase hit rates, as seen in the ribbed down jacket case where Taobao reduced merchant uncertainty.

3. Development Prospects: Taobao amplifies trends into fashion movements, creating new categories like ribbed down jackets as top annual items. This inspires service providers to develop tools or services that help merchants shorten the path to virality.

As a platform, Taobao optimizes operations through rankings and trend forecasting to meet commercial needs.

1. Platform Approach: Annual rankings are calculated based on heat indices, trend metrics, and sales data, serving as an authoritative benchmark. Latest methods include extracting potential trends from fashion institutions and social media, refining styles via algorithms and manual checks to reduce merchant decision costs.

2. Commercial Needs: Merchants require risk reduction and higher hit rates. Platform response: Collaborative trend dissemination, such as guiding Lemansi to focus on ribbed down jackets, achieving 20 million unit sales. Merchant attraction: Rankings boost platform engagement through star endorsement effects.

3. Operations Management: Platform-merchant cooperation shortens virality cycles and increases success rates. Risk avoidance: Trend predictions help merchants avoid missteps, while rankings manage consumer direction.

Taobao's rankings reflect integration trends between e-commerce and fashion, offering research insights.

1. Industry Dynamics: Star influence, like Zhao Lusi's repeated top ranking, validates growing commercial value. Key question: How to accurately predict trends to avoid waste, as seen in Taobao's algorithm-human verification approach.

2. Policy Implications: The platform's role in democratizing fashion, translating runway trends into mass choices. Business model: Co-creation mechanisms, such as platform-merchant collaboration amplifying ribbed down jackets into a national hit with 650% sales growth, creating new business increments.

3. Consumer Behavior: Real searches and purchases define trends, showing shifts like chasing star-endorsed items. Research value: Rankings serve as cultural records, highlighting consumer-driven trend models for industry attention.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

近日，淘宝发布了「2025明星带货王」、「2025十大风格榜」、「2025十大单品榜」：“国民闺蜜”赵露思，连续三年登顶“明星带货王”；“鞠婧祎式美学”再发力，其演绎过的“琥珀流光风”，拿下「十大风格榜」第一；“排骨羽绒服”再度翻红，冲上「十大单品榜」第一，是广大淘宝女孩公认的秋冬顶流。

该年度榜单，根据2025年淘宝站内相关商品“热度指数、趋势指数、成交情况”等指标拟合计算，是消费者用购物车及搜索框“票选”出的榜单。因此，作为淘宝年度“保留节目”，不只反映“今年大家爱穿什么”的流行趋势，也是验证“明星艺人”时尚影响力和商业价值的权威榜单。

据了解，赵露思已蝉联三届「明星带货王」冠军。国庆黄金周，《许我耀眼》爆火出圈，剧集热度飙升的同时，“赵露思同款”在淘宝的带货力也连连攀升，成交环比暴增1518%。她在剧中饰演的许妍，被网友神评“衣柜比婚姻更精彩”，“许妍同款”强劲带动“迪木尔风”在淘宝成交增长710%，杀进「年度十大风格榜」前三。

内娱不少“扛剧女王”都是“种草圣体”。今年杨幂接连解锁《长安的荔枝》、《生万物》等新作，话题讨论度拉满，其带货力排名较去年也上升至第二。7月她身着“北朝褶衣”亮相电影节，网友仅凭几张路透，扒出衣服来自淘宝原创品牌「汀兰颂原创汉服」，直接让这家店日销翻了近100倍，“新中式褶衣”也入围「年度十大单品榜」。

淘宝作为全民大消费平台，不仅是“国民衣橱”，也是“明星私服”的来源地，吸引了一大批追热点、赶潮流的年轻人在此挑选穿搭look。随着Brad Pitt主演电影《F1》全球热映，由赛车文化掀起的“Ridercore骑士风”席卷时尚圈，范丞丞上身淘宝闪购骑士服后，也被不少网友认证其“人生战袍”又加一件，该穿搭风格在淘宝成交增长420%；还有去年凭借“黄亦玫同款”，登上榜单的刘亦菲，今年又因VOGUE红毯“满天星造型”引发热议，拉动“欧若风”成交上涨250%。

淘宝不仅能预测趋势，还能捕捉流行密码，将其放大为一股穿搭风潮，有机会实现一个品类的突破、创造新的生意增量，比如今年秋冬顶流“排骨羽绒服”。据榜单显示，“排骨羽绒服”在淘宝上成交涨幅650%、搜索人气450%，不仅成为「淘宝服饰年度单品榜」TOP1，甚至还入选了「淘宝年度十大商品」。

“每年都做羽绒服，但对比去年这个品类翻了3倍，都是因为有了‘排骨羽绒服’！”淘宝原创品牌「Lemanism乐曼世」店铺负责人雪松说。据了解，「乐曼世」今年8月上新的“白鸭绒排骨羽绒服”，一个款卖了2000万。

这次对流行趋势的“神预言”背后，是淘宝正在摸索一套趋势洞察捕捉的有效路径。从站外发现种草，到站内透传触达，以及平台与商家的联动，让还未大火的“潜力单品”成为确定性的“国民爆款”。

在趋势还未大规模流行前，淘宝会根据时尚权威机构发布的预测报告、四大时装周的秀场上新，以及海内外社交媒体上冒尖的流行趋势，通过算法学习、人工校验等方式，提炼出确定性更高的风格趋势，帮助商家减少决策成本、缩短打爆链路，提升押中爆款的几率。

有不少商家就在“排骨羽绒服”这个单品上尝到了甜头。“我们观察到薄款羽绒服需求上涨，但也是抱着试试看的心态筹备供应链，淘宝小二同时也告诉我们要押注‘排骨羽绒服’。”雪松表示，如果说团队最初的信心有60%，那淘宝相当于一颗定心丸，他们立刻就决定all in“排骨羽绒服”，这个款成为全店今年卖得最火的王牌单品。

淘宝服饰「年度榜单系列」的大众关注度逐年攀升，它已成为时尚流行、商业价值最权威的“试金石”之一，而消费者在围观流行趋势的间隙，也看到过去一年自己的生活印记、穿衣心态变化。过去遥不可及的秀场时尚，转化为淘宝上唾手可得的选择，明星同款与普通人衣橱无缝衔接，如今流行什么是由每一次真实的搜索和购买来定义。

注：文/龚作仁，文章来源：Laborer，本文为作者独立观点，不代表亿邦动力立场。

文章来源：Laborer