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今年双11 阿里妈妈万相点睛用AI帮品牌找到“意料之外”的新客

龚作仁 2026-10-28 09:53
龚作仁 2026/10/28 09:53

邦小白快读

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总1:双11开卖数据与AI找新客效果是重点。

1.开卖4小时124个品牌成交破亿,27681个品牌成交超去年全天,淘宝直播破亿直播间增至14个;万相点睛在关键词推广与人群推广场景投放,新客点击占比超90%,带来额外成交累计近10亿元。

2.超级直播×万相点睛现货开卖首日商家增长30%+,投入预算增长180%+;超级短视频×万相点睛的新客ROI对比传统人群增幅显著。

总2:可借鉴的实操是围绕产品特质和消费意图找增量人群。

1.把产品卖点翻译成可感知语言,如法式衬衫对应蕾丝刺绣、细腻针线、领后平整,并从“衬衫怎么熨平”推理出在意穿着质感的人。

2.从外部信号和场景找需求,如“全屋怎么配”“一键配齐”发现生活重启族,用“懒人快手减脂轻早餐”发现都市白领。

3.不要只在传统标签里抢量,可组合关键词、人群、短视频、直播等场景验证新客效果。

总1:文章显示AI定向正成为品牌营销和找新客的新增量路径。

1.消费趋势和用户行为上,出现在意穿着质感、新中式雅士、精致生活悦己女性、热衷社交的年轻家庭、Me-time悦己、研究导向型护肤、饱腹轻负担早餐等人群信号。

2.产品卖点表达上,品牌可把功能转成质感语言、情绪价值和生活方式,如博世强调解放双手与科技美学平衡,恒洁把智能马桶转成放松犒赏,科沃斯强调高颜值科技感满足社交展示。

总2:营销渠道与效果验证覆盖多场景。

1.万相点睛在品牌特秀、品牌新力WIN、关键词推广、人群推广、超级短视频、超级直播等场景验证新增量。

2.案例效果包括ELLE新客成交占比超60%,博世新客点击占比98%+、近9成成交来自新客,珀莱雅人群ROI超13,桂格新场景ROI达3倍以上。

3.品牌可围绕爆款、新品上市和细分场景做人群破圈,而不是只在传统品类词内竞争。

总1:双11增长机会来自用AI找新客和挖掘消费需求变化。

1.开卖4小时124个品牌成交破亿、27681个品牌成交超去年全天;万相点睛在关键词推广与人群推广投放带来额外成交累计近10亿元,新客点击占比超90%。

2.超级直播×万相点睛现货开卖首日商家增长30%+、投入预算增长180%+,显示直播场景有增量机会。

总2:可学习点和风险提示。

1.传统标签内卷抢量可能失效,如女装只投白衬衫通勤、家电只讲功能、家具只锚实木装修,需要转向意图推理和场景发现。

2.机会人群包括质感女性、新中式雅士、悦己女性、社交年轻家庭、生活重启族、科技发烧友、快手轻早餐白领。

3.可学习做法是从搜索词背后需求、外部平台信号、短视频社交动机生成新搜索需求,并组合关键词、人群、短视频、直播投放;合作方式是使用阿里妈妈万相点睛产品。

总1:文章对产品生产和设计需求的启示是卖点要能被消费者感知。

1.女装案例强调蕾丝刺绣、细腻针线、领后平整,以及100%羊毛美利奴垂坠感、闽绣、云溪等设计细节;家电强调解放双手、科技与美学平衡、高颜值科技感;卫浴强调悦己情绪价值;家具强调整家美学一站式配齐;食品强调饱腹、轻负担、可做DIY燕麦饮。

2.这些信号说明工厂做产品设计和卖点梳理时,可把材质、工艺、功能、颜值和使用场景转化为消费者能理解的语言。

总2:商业机会与数字化电商启示。

1.多行业品牌通过AI定向找到原本不会想到要买的新客,女装、家电、家装家居、美妆、食品均有案例。

2.工厂推进数字化和电商时,可配合品牌从产品特质出发提炼人群标签,结合关键词、人群推广、超级短视频、超级直播等场景验证转化。

3.效果数据包括新客成交占比、新客ROI、新客点击占比提升,说明产品设计与电商投放需要联动。

总1:行业趋势是AI定向从传统标签匹配转向理解消费者意图、寻找增量人群。

1.文章称万相点睛在品牌特秀、品牌新力WIN、关键词推广、人群推广、超级短视频、超级直播等场景全面验证新增量能力。

2.关键词推广与人群推广场景投放达成新客点击占比超90%,额外成交累计近10亿元;超级直播场景商家增长30%+、预算增长180%+。

总2:客户痛点与解决方案。

1.客户痛点包括传统标签失效、高客单长决策链获客难、爆款组合锚定旧人群、只围绕品类词投放难破圈。

2.解决方案是翻译产品特质、推理搜索词背后意图、捕捉全网趋势信号、提取外部平台解决方案型需求、生成新搜索需求,并找到质感女性、新中式雅士、悦己女性、社交年轻家庭、生活重启族、科技发烧友、快手轻早餐白领等增量人群。

3.服务商可据此为客户设计多场景组合投放,并用新客成交占比、新客ROI、CTR等指标验证效果。

总1:商家对平台的核心需求是增长确定性、找到新客和突破传统标签内卷。

1.文章以双11开卖数据说明增长机会:4小时124个品牌成交破亿,27681个品牌成交超去年全天,淘宝直播破亿直播间增至14个。

2.商家需要平台提供能带来新增量的投放工具,万相点睛在关键词推广与人群推广场景带来额外成交累计近10亿元。

总2:平台最新做法与运营管理启示。

1.阿里妈妈用万相点睛在品牌特秀、品牌新力WIN、关键词推广、人群推广、超级短视频、超级直播等场景验证新增量,并发布双11开门红超级案例榜单。

2.平台运营可按行业场景组织人群识别和投放组合,推动短视频、直播与人群推广联动;案例覆盖女装、家电、家装家居、美妆、食品。

3.风向规避上,应减少对传统标签内卷抢量的依赖,转向AI理解意图和发现增量人群;阿里妈妈表示将持续迭代AI定向能力、覆盖更多投放场景,与百万商家合作。

总1:文章呈现产业新动向:AI定向从标签匹配走向意图理解与推理,寻找增量人群。

1.万相点睛把产品特质翻译成可感知语言,从搜索词背后推理真实需求,从趋势信号、外部平台信号和社交展示动机中发现新人群。

2.案例跨女装、家电、家装家居、美妆、食品,出现质感女性、新中式雅士、精致悦己女性、社交年轻家庭、生活重启族、前沿科技发烧友、快手轻早餐白领等人群。

总2:商业模式与新问题启示。

1.商业模式是平台提供AI定向产品,品牌与服务商协作,在关键词、人群、短视频、直播等多场景组合投放,并以新客成交、ROI、CTR验证。

2.新问题包括传统标签失效、高客单长决策链、爆款组合人群老化、外部信号利用不足。

3.文章未涉及政策法规建议,主要启示是增长路径从存量标签抢量转向AI创造增量需求;效果数据包括额外成交近10亿元、珀莱雅人群ROI超13、桂格新场景ROI达3倍以上。

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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 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

Summary 1: Double 11 sales-start data and AI new-customer acquisition are the key focus.

1. Four hours after launch, 124 brands exceeded RMB 100 million in GMV, 27,681 brands surpassed their prior full-day sales, and Taobao Live livestream rooms surpassing RMB 100 million increased to 14; Wanxiang Dianjing, when deployed in keyword and audience promotion scenarios, drove new-customer click share above 90% and generated nearly RMB 1 billion in cumulative incremental GMV.

2. Super Live x Wanxiang Dianjing: on the first day of in-stock sales, merchant participation rose 30%+ and budget investment increased 180%+; Super Short Video x Wanxiang Dianjing showed a significant lift in new-customer ROI versus traditional audience targeting.

Summary 2: An actionable approach is to find incremental audiences around product characteristics and consumption intent.

1. Translate product selling points into perceptible language—e.g., French-style shirts as lace embroidery, fine stitching, and a flat collar back—and infer from searches like how to iron a shirt that the user cares about fabric quality.

2. Identify demand from external signals and scenarios—e.g., how to furnish a whole home and one-click full setup reveal life-restart consumers; lazy quick low-calorie breakfast reveals urban white-collar workers.

3. Do not only compete for volume within traditional tags; combine keywords, audiences, short video, and livestream scenarios to validate new-customer performance.

Summary 1: The article shows that AI targeting is becoming a new incremental path for brand marketing and new-customer acquisition.

1. On consumer trends and user behavior, audience signals include people who care about fabric quality, New Chinese-style tastemakers, refined self-rewarding women, socially active young families, Me-time self-reward, research-oriented skincare, and satiating light-burden breakfasts.

2. In expressing product selling points, brands can translate functions into quality-of-life language, emotional value, and lifestyle—e.g., Bosch emphasizes freeing hands and balancing technology with aesthetics; HEGII turns smart toilets into relaxation and reward; Ecovacs emphasizes high-appearance design and technological feel to meet social display needs.

Summary 2: Marketing channels and performance validation cover multiple scenarios.

1. Wanxiang Dianjing validates incremental growth across Brand Special Show, Brand New Power WIN, keyword promotion, audience promotion, Super Short Video, and Super Live.

2. Case results include ELLE new-customer GMV share above 60%; Bosch new-customer click share 98%+ with nearly 90% of GMV from new customers; Proya audience ROI above 13; Quaker new-scenario ROI more than 3x.

3. Brands can break out of audience circles around hit products, new-product launches, and segmented scenarios rather than competing only within traditional category terms.

Summary 1: Double 11 growth opportunities come from using AI to find new customers and uncover changes in consumer demand.

1. Four hours after launch, 124 brands exceeded RMB 100 million in GMV and 27,681 brands surpassed their prior full-day sales; Wanxiang Dianjing in keyword and audience promotion generated nearly RMB 1 billion in cumulative incremental GMV, with new-customer click share above 90%.

2. Super Live x Wanxiang Dianjing: on the first day of in-stock sales, merchants grew 30%+ and budget investment rose 180%+, indicating incremental opportunities in livestream scenarios.

Summary 2: Lessons and risk warnings.

1. Grabbing volume within traditional tags may become ineffective—e.g., womenswear only bidding on white-shirt commuter terms, home appliances only emphasizing functions, furniture only anchoring to solid-wood renovation—so sellers need to shift toward intent inference and scenario discovery.

2. Opportunity audiences include quality-focused women, New Chinese-style tastemakers, self-rewarding women, socially active young families, life-restart consumers, tech enthusiasts, and Kuaishou light-breakfast white-collar workers.

3. Actionable practices include generating new search demand from the needs behind search terms, external platform signals, and short-video social motivations, and combining keyword, audience, short-video, and livestream placements; the collaboration approach is to use Alimama's Wanxiang Dianjing product.

Summary 1: The implications for product production and design are that selling points must be perceptible to consumers.

1. Womenswear cases emphasize lace embroidery, fine stitching, a flat collar back, and design details such as 100% merino wool drape, Fujian embroidery, and Yunxi; home appliances emphasize freeing hands, balancing technology and aesthetics, and high-appearance technological feel; bathroom products emphasize self-reward emotional value; furniture emphasizes one-stop whole-home aesthetics; food emphasizes satiety, light burden, and DIY oat drinks.

2. These signals indicate that when factories design products and organize selling points, they can translate materials, craftsmanship, functions, appearance, and usage scenarios into language consumers understand.

Summary 2: Business opportunities and digital commerce implications.

1. Brands across multiple industries are using AI targeting to find new customers who would not originally have considered buying; cases span womenswear, home appliances, home furnishings, beauty, and food.

2. As factories advance digitalization and e-commerce, they can work with brands to distill audience tags from product characteristics and validate conversion through keywords, audience promotion, Super Short Video, Super Live, and other scenarios.

3. Performance data include new-customer GMV share, new-customer ROI, and new-customer click-share lift, indicating that product design and e-commerce placement need to be linked.

Summary 1: The industry trend is that AI targeting is shifting from traditional tag matching to understanding consumer intent and finding incremental audiences.

1. The article says Wanxiang Dianjing comprehensively validates incremental capabilities across Brand Special Show, Brand New Power WIN, keyword promotion, audience promotion, Super Short Video, and Super Live.

2. In keyword and audience promotion scenarios, placements achieved new-customer click share above 90% and nearly RMB 1 billion in cumulative incremental GMV; in Super Live, merchants grew 30%+ and budgets rose 180%+.

Summary 2: Client pain points and solutions.

1. Client pain points include traditional tags becoming ineffective, difficult acquisition in high-ticket long-decision chains, hit-product combinations anchored to old audiences, and difficulty breaking out when investing only around category terms.

2. Solutions include translating product characteristics, inferring intent behind search terms, capturing cross-platform trend signals, extracting solution-oriented demand from external platforms, generating new search demand, and identifying incremental audiences such as quality-focused women, New Chinese-style tastemakers, self-rewarding women, socially active young families, life-restart consumers, tech enthusiasts, and Kuaishou light-breakfast white-collar workers.

3. Service providers can use these insights to design multi-scenario placement combinations for clients and validate performance with metrics such as new-customer GMV share, new-customer ROI, and CTR.

Summary 1: Merchants' core demands on platforms are growth certainty, new-customer acquisition, and breaking out of traditional-tag involution.

1. The article uses Double 11 sales-start data to show growth opportunities: within four hours, 124 brands exceeded RMB 100 million in GMV, 27,681 brands surpassed their prior full-day sales, and Taobao Live livestream rooms surpassing RMB 100 million increased to 14.

2. Merchants need platforms to provide placement tools that bring incremental growth; Wanxiang Dianjing generated nearly RMB 1 billion in cumulative incremental GMV in keyword and audience promotion scenarios.

Summary 2: The platform's latest practices and operational management implications.

1. Alimama uses Wanxiang Dianjing to validate incremental growth across Brand Special Show, Brand New Power WIN, keyword promotion, audience promotion, Super Short Video, and Super Live, and released the Double 11 opening super-case rankings.

2. Platform operations can organize audience identification and placement combinations by industry scenario and promote linkage among short video, livestream, and audience promotion; cases cover womenswear, home appliances, home furnishings, beauty, and food.

3. On risk avoidance, platforms should reduce reliance on traditional-tag volume competition and shift toward AI understanding of intent and discovery of incremental audiences; Alimama says it will continue to iterate AI targeting capabilities, cover more placement scenarios, and work with millions of merchants.

Summary 1: The article presents a new industry direction: AI targeting is moving from tag matching to intent understanding and inference to find incremental audiences.

1. Wanxiang Dianjing translates product characteristics into perceptible language, infers real demand behind search terms, and discovers new audiences from trend signals, external platform signals, and social display motivations.

2. Cases span womenswear, home appliances, home furnishings, beauty, and food, revealing audiences such as quality-focused women, New Chinese-style tastemakers, refined self-rewarding women, socially active young families, life-restart consumers, frontier tech enthusiasts, and Kuaishou light-breakfast white-collar workers.

Summary 2: Business model and new research questions.

1. The business model is that the platform provides AI targeting products; brands and service providers collaborate on multi-scenario placement combinations across keywords, audiences, short video, and livestream, validated by new-customer GMV, ROI, and CTR.

2. New questions include the failure of traditional tags, high-ticket long decision chains, aging audiences around hit-product combinations, and insufficient use of external signals.

3. The article does not address policy or regulatory recommendations; its main implication is that growth paths are shifting from grabbing volume in existing tags to AI creating incremental demand; performance data include nearly RMB 1 billion in incremental GMV, Proya audience ROI above 13, and Quaker new-scenario ROI above 3x.

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.

10月20日晚8点,2026天猫双11正式开卖。开卖4小时,124个品牌成交破亿,27681个品牌成交超去年全天,淘宝直播破亿直播间增至14个。

增长的确定性从何而来?今年双11,阿里妈妈AI定向产品万相点睛在品牌特秀、品牌新力WIN、关键词推广、人群推广、超级短视频、超级直播等场景全面验证新增量能力。10月15日至10月20日,万相点睛在关键词推广与人群推广两大场景投放为商家达成新客点击占比超90%,带来额外成交累计近10亿元;使用“超级短视频×万相点睛”的商家,新客ROI对比传统人群增幅显著;增量持续涌现之下,现货开卖首日,使用“超级直播×万相点睛”的商家增长30%+,投入预算增长180%+。

为让增量有迹可循,阿里妈妈发布万相点睛双11开门红超级案例榜单,覆盖多行业品牌实战,展示万相点睛如何帮商家找到那些“过去没想到”的增量人群。

01

女装行业:AI读懂穿着背后的质感与风格,突破品类拿增量

ELLE:新客成交占比超60%,新访客点击占比超70%

女装品牌ELLE的核心单品法式衬衫,传统投放主要锁定“白衬衫”、“通勤穿搭”等搜索人群。万相点睛从产品本身出发重新理解需求:它把“法式衬衫”翻译成“蕾丝刺绣、细腻针线、领后平整”等可感知的质感语言,推理出“衬衫怎么熨平”的搜索背后,真实需求是希望“穿得平整体面”。顺着这条逻辑,万相点睛发现了一群从未搜过“白衬衫”、却搜过“衬衫怎么熨平”的人——“在意穿着质感的女性”。投放后,新客成交占比超60%,新访客点击占比超70%。

VGRASS:GMV环比提升22%,新客ROI提升10%+

羊毛针织品牌VGRASS面临传统“保暖+羊毛”标签失效的挑战。火奴为VGARSS选择万相点睛进行投放,万相点睛深度理解产品后,从100%羊毛的美利奴垂坠感和“闽绣”、“云溪”等设计细节中,识别出“新中式雅士”人群——她们来自“新中式家居”、“国茶文化”等社区,把东方工艺细节当作身份认同的表达。投放后,整体万相点睛GMV环比提升22%,新客ROI提升10%+,新客成交占比提升5个百分点。

02

家电行业:从功能需求到生活方式,AI帮家电品牌找到装修之外的新人群

博世:新客点击占比98%+,近9成成交来自新客

高端智能家电品牌博世希望触达追求静奢生活品质的高价值人群。万相点睛接到品牌的经营诉求后,从博世“解放双手”和“科技与美学平衡”的产品特质出发,捕捉到全网“家居美学、极简装修、健康管理”等趋势信号,精准锁定35-39岁高收入、注重悦己体验的“精致生活悦己女性”。投放后,新客点击占比超98%,新客成交占比超70%,近9成成交笔数来自新客。

科沃斯:突破常规品类词,找到“热衷社交”新人群

扫地机器人品牌科沃斯面临高客单、长决策链的获客难题。万相点睛从超级短视频中推理出一个被忽略的消费动机:人们不只是为了“清洁效率”而买,还因为“家好看、值得晒”。AI发现了“热衷社交的年轻家庭”——他们把家当展厅晒,科沃斯的高颜值+科技感恰好满足了社交展示需求。投放后,圈选的新人群成交新客占比达100%,ROI对比常规计划均值提升1.1倍。

03

家装家居行业:从装修人群到“生活场景”破圈

恒洁:蓄水期高价值人群渗透率提升30%+

卫浴品牌恒洁的智能马桶过去更多锁定装修人群。万相点睛把产品功能翻译成情绪价值——放松、犒赏自己,推理出年轻人的“Me-time悦己刚需”,沿音乐、文旅等泛兴趣场景发现了“追求悦己感的年轻音乐爱好者”。投放后,蓄水期卫浴类目高价值人群渗透率提升超30%,目标年轻消费人群资产占比提升7个百分点以上,悦己/音乐爱好等特色场景人群资产占比提升超14个百分点。

源氏木语:新客GMV占比45%+,新客点击近90%

家具品牌源氏木语的爆款组合过去投放锚定“实木家具、装修”人群。万相点睛从小红书等外部信号中提取“全屋怎么配”、“一键配齐”等解决方案型需求,发现“生活重启族”——婚房布置、租房改造、宝宝房升级等场景下,人们不想单件搜,而是想一站式配齐整家美学。投放后,新客GMV占比超45%,新客点击占比近90%,新客成交笔数占比52%+。

04

美妆行业:跳出传统功效标签,找到“懂行”的消费者

珀莱雅:人群ROI超13,CTR位列同期所有投放人群TOP1

美妆品牌珀莱雅的红宝石系列主打高端抗衰,传统投放围绕“抗老”、“抗衰”等热门关键词。万相点睛从产品的科学成分出发,识别出“研究导向型”消费趋势——一些人买抗衰产品不是因为年龄焦虑,而是看成分浓度、验证配方数据,把护肤当科技评测来做。AI据此发现了“前沿科技发烧友”。投放后,人群支付ROI超13,位列珀莱雅同期所有投放人群CTR第一,人群贡献GMV达45%。

05

食品行业:AI重新定义消费场景,发现高转化人群

桂格:新客成交占比近6成,新场景ROI达3倍以上

桂格乳酸菌发酵营养燕麦片上市时默认主打“家庭泛早餐”场景。为拓宽目标人群,宝尊英赛利用万相点睛帮助桂格从发酵燕麦“饱腹、轻负担、可做DIY燕麦饮”的特征出发,发现都市白领“用饱腹速食替代高热量早餐”“用轻负担饮品替代奶茶”的趋势。AI据此生成“懒人快手减脂轻早餐”的搜索需求,发现了真正带来高质量转化的人群——“追求饱腹轻负担的快手轻早餐的都市白领”。投放后,开门红新客成交占比近6成,万相点睛挖掘的新场景ROI达3倍以上。

从女装到家电、从家装到美妆、在到食品,万相点睛正在一个个品牌的实战中验证一条新的增长路径:不再围绕传统标签内卷抢量,而是通过AI对消费者意图的理解与推理,和商家一起发现“原本不会想到要买”的增量人群,把蓝海人群变成真正买单的客户。

阿里妈妈表示,将持续迭代万相点睛的AI定向能力,覆盖更多投放场景,与百万商家一起,在双11及未来的每一次大促中,让每一份经营都算数。

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

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FAQ回顾

阿里妈妈万相点睛是什么产品?

万相点睛是阿里妈妈的AI定向产品,可在品牌特秀、品牌新力WIN、关键词推广、人群推广、超级短视频、超级直播等场景投放。它通过AI理解消费者意图和产品特质,帮助品牌发现传统标签之外的新客人群,并提升新客点击、成交与ROI。

万相点睛如何帮助品牌在双11找到新客增量?

万相点睛从产品质感、功能、情绪价值和场景需求出发,推理消费者真实搜索意图,发现未搜索传统品类词但存在潜在需求的人群。例如从法式衬衫找到在意穿着质感的女性,从扫地机器人找到热衷社交的年轻家庭,从而把蓝海人群转化为新客成交。

哪些品牌通过万相点睛实现了新客增长?

万相点睛双11开门红案例覆盖女装、家电、家装家居、美妆和食品行业。ELLE新客成交占比超60%,VGRASS GMV环比提升22%,博世新客点击占比98%,科沃斯圈选新人群成交新客占比达100%,恒洁高价值人群渗透率提升30%,珀莱雅人群ROI超13,桂格新场景ROI达3倍以上。

万相点睛与传统人群定向投放有什么区别?

传统投放多围绕白衬衫、通勤穿搭、保暖羊毛、抗老等品类标签抢量。万相点睛则通过AI理解产品和消费者意图,推理出穿着质感、悦己体验、社交展示、科技评测等潜在需求,找到原本不会想到要买的增量人群,提升新客点击占比、新客成交占比和投放ROI。

万相点睛适合哪些营销场景使用?

万相点睛可用于品牌特秀、品牌新力WIN、关键词推广、人群推广、超级短视频和超级直播等场景。双11期间,它在关键词推广与人群推广场景帮助商家实现新客点击占比超90%,在超级短视频场景提升新客ROI,在超级直播场景带动商家增长30%、投入预算增长180%。

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