【摘要】 每日营销资讯
一、品牌
宗庆后之弟宗泽后推出“娃小智”品牌:已签约153家经销商,全面对打宗馥莉的“娃小宗”
据蓝鲸新闻,继宗馥莉推出“娃小宗”后,宗馥莉叔叔宗泽后的品牌“娃小智”也于近日开启招商活动。10月10日“娃小智”在杭州举行了全国招商会,购买“娃小智”产品10万元以上即可获得该区域独家经销商资格。相关招商人员表示,宗师傅品牌从去年11月开始运作,“我们从国庆节前后开始做娃小智,这边属于宗氏家族,就是宗泽后这边,相当于我们要和宗馥莉一起竞争市场。目前成为代理没有保证金,首次拿货不低于3万块钱就可以了。”截至目前,“娃小智”已经签约153家客户,“主要集中于浙江,也有湖南、贵州等地,我们现在基本做的还是连锁超市和大流通的客户。”
小米连续两周排名中国手机市场销量第一
36氪获悉,第三方调研机构数据显示,9月29日-10月5日十一黄金周期间,小米以21.2%份额登顶中国市场手机销量第一。这是小米17系列首销以来,小米连续两周蝉联冠军。此前小米总裁卢伟冰曾表示,小米17系列累计销量已突破100万台,同期销量超上代20%,并且销售势头仍在持续走强。
宇树科技王兴兴:工业机器人需迈过效率、成本临界点才可能大规模铺量
2025中国移动全球合作伙伴大会上,宇树科技创始人兼CEO、CTO王兴兴在主论坛圆桌论坛环节亮相。谈及机器人和具身智能如何影响和改变生活,王兴兴表示,家庭生活、服务娱乐、工业产品在未来的市场空间都非常大,但目前家庭和工业场景的挑战较大。家庭方面,不单单要考虑技术,伦理道德、安全层面的要求都比较高;工业方面,机器人需要迈过比人力效率更高、成本更低的临界点,才可能有大规模铺量。
追觅AI智能戒指首发订单破千万
10月11日下午消息,追觅首款震动AI智能戒指10月1日全平台启动线上和线下双端预售销售。据悉,目前该产品销量已突破千万,创下同期高端智能穿戴设备销售新纪录。追觅AI智能硬件负责人表示,首发斩获千万订单的背后,是消费者对产品 “无感佩戴、有感关怀”核心价值的认可。未来,追觅将持续深耕健康科技领域,以更优质的产品与服务,满足大众对精细化健康管理的需求,推动智能穿戴行业向“有温度的健康陪伴”方向升级。
vivo起诉某MCN商业诋毁已立案
10月12日,@vivo法务部 发文,某MCN机构旗下多个账号长期通过编造、散布不实信息,恶意诋毁vivo品及商业信誉。对此,vivo已收集、固定证据,依法提起诉讼,目前该案件已正式立案。
山姆超市回应“大疆pocket 3降价”:迅速制定会员补偿方案,以确保会员权益
近日,“大疆预告降价已购买消费者退货维权”等相关话题登上热搜,不少已经购买大疆部分产品的消费者在社交平台表示,下单早了想要申请退货退款。也有消费者称,已经成功退货退款。山姆方面向新浪财经表示,针对此次促销,在2025年10月2日-8日期间购买该商品的会员可凭购买凭证,在10月31日前到线下门店享受特殊补贴服务。
二、互联网
淘宝闪购:双11期间发放超1000万份免单红包、88VIP每日享外卖五折
淘宝闪购推出双11福利:10月15日至11月14日,发放超1000万份免单红包,所有用户可抢。88VIP用户进入闪购频道,每日专享两个5折红包;双11期间,88VIP还将解锁折上再打95折等专属福利。
字节启动年内第二次期权回购:离职员工回购价180.37美元/股
据蓝鲸新闻,10月10日,字节跳动正式发布年内第二次期权回购邮件,在职员工回购价为200.41美元/股,合人民币1424.01元/股;离职员工回购价为180.37美元/股,合人民币1281.62元/股。此前,上一次回购为2025年4月,当时在职员工回购价为189.9美元/股,合人民币1363.14元/股;离职员工回购价为161.42美元/股,合人民币1158.71元/股。
美团试点外卖骑手屏蔽顾客功能
据报道,美团在福建晋江、浙江绍兴等七个城市试点上线骑手评价用户和骑手屏蔽用户功能,赋予骑手屏蔽用户的选择。在这一功能下,骑手在订单结束后的48小时内可在订单页评价用户,如果遇到顾客辱骂、恐吓威胁等场景,可在评价页面勾选“不再为该顾客送餐”快捷屏蔽用户。接近美团知情人士表示,这该新增功能设置后,骑手365天之内不会接到屏蔽用户的订单,目前这一功能目前已在多个城市开放,后续也会进一步推广,但不确定具体时间。行业人士表示,平台为用户和骑手提供更多双向选择权,保护各方权益,是个有益探索。
马斯克向伪造视频开炮:Grok将推出AI视频检测工具
当AI视频生成技术正以惊人速度渗透网络,马斯克的xAI正在打造一款“真伪侦探”工具。 近日,马斯克在X平台回应网友担忧时表示:Grok即将获得识别AI生成视频并追踪其网络来源的能力,以应对不断扩散的深度伪造(Deepfake)内容。 Grok官方X透露,Grok的升级功能将能直接在视频比特流中分析AI生成特征(AI signatures),识别出压缩或生成过程中留下的微妙痕迹,这些特征往往肉眼不可见,却能揭示内容真伪。
亚马逊云科技推出全新Agentic AI应用
亚马逊云科技宣布推出全新的Agentic AI应用——Amazon Quick Suite。据介绍,该应用旨在帮助员工全面提升工作效率,帮助员工转变获取信息洞察的方式,开展深度研究、自动化任务、数据可视化,并执行跨应用的任务。同时,Amazon Quick Suite可连接企业内部知识库、主流应用,以及亚马逊云科技的服务如Amazon S3和Amazon Redshift,并通过MCP集成扩展接入超过1000个应用,帮助客户统一访问并高效利用分散的信息资源。
高通回应涉嫌违反反垄断法:正积极配合有关调查
据央视新闻报道,因高通公司收购Autotalks公司未依法申报经营者集中,涉嫌违反《中华人民共和国反垄断法》,市场监管总局依法对高通公司开展立案调查。针对此事,高通公司回应称,我们正积极配合中国国家市场监督管理总局的有关调查。高通公司一直致力于支持我们的客户与合作伙伴的发展与增长。
三、广告片
NIKE×女性艺术家:系列短片,自然灵动
近期NIKE携手女性艺术家Susan Fang正式发布了合作系列。该系列以自然为灵感,以水珠为符号,将水的流动、光的折射、花的绽放转化为贯穿全系列的设计语言,用空灵而有力,柔美亦坚定的呈现,致敬女性运动的力量与美感。
系列的初始灵感,源自设计师的一次潜水经历——希望展现阳光穿透水面,与人们呼出的气泡交汇时转瞬即逝而柔美有力的瞬间。设计师标志性的手工串珠形成了沿Swoosh流淌的形态,和空气般灵动的立体花型。
秉承这样充满呼吸感和灵动的设计理念,在规划产品叙事系列视频时,NIKE围绕“自然呼吸”作为核心概念,让产品系列与流水、落花、光影同频,在一呼一吸间,身体和自然的平衡节奏连接,柔和同时有力,感受能量的流转。通过身体对自然的感知,以及对美的探索,多角度呈现NIKE×Susan Fang联名系列的日常活力和动态美感,呈现自然呼吸和生命流动的能量。
四、洞察趋势
2025全球《手游厂商50强》发布:腾讯、米哈游、叠纸等9家中国公司在列
36氪获悉,近日,全球知名游戏媒体PocketGamer.biz发布2025年手游厂商50强榜单。9家中国游戏企业在列,分别为:世纪华通/点点互动(第1)、腾讯(第10)、米哈游(第15)、柠檬微趣(第16)、叠纸(第18)、海彼(第19)、网易(第22)、FunPlus(第24)、莉莉丝(第27)。
前8个月广州市外贸总额超8200亿元 再创历史新高
据广州海关11日发布的消息,今年前8个月,广州市外贸进出口总额达8206.2亿元,同比增长13.4%,再创历史同期新高。其中,出口5420.9亿元,同比增长22.2%,增速在中国前10大外贸城市中居首位。
五、海外营销
OpenAI 刚刚在营销 101 中失败
OpenAI’s recent ads for ChatGPT were everywhere—NFL Primetime, streaming platforms, outdoor, and beyond. Press coverage hailed the AI company’s biggest marketing push yet as a new chapter of AI brand building.
But few pointed out just how incredibly poor the ads were.
Set aside the irony of an AI company relying on traditional media to promote its product. Focus instead on the dire creative quality of the two TV spots, Pull-Up and Dish.
Research firm System1 tested both ads with a representative panel of U.S. consumers. The results confirm that while AI tech bros continue to kill it with product development, they’re lightyears behind on the rest of the marketing challenge.
Both ranked in the lowest quintile for long-term growth and short-term sales impact. That’s incredibly bad, even for the tech category, which always underperforms.
Worse, both scored dismally on fluency—System1’s measure of whether consumers actually know which brand is being advertised to them.
The Pull-Up ad managed a fantastically bad fluency score of 59. That means only 59% of viewers–who were being paid to watch the ad with their full attention–knew what was being advertised. In System1’s real-time assessment above, you can see a black ocean of ignorance engulfing the audience. A disappointingly small hump of pink recognition kicks in two seconds before the end, when ChatGPT’s logo appears.
This is the definition of bad advertising, standing in rude contrast to the sea of pink when KFC or Apple or Mars ads are tested.
And that’s just real-time fluency, not the tougher and more important metric of branded recall among unpaid, inattentive audiences with a memory-shredding delay before being quizzed. Most studies conclude that just around half of all advertising achieves branded recall.
Now back to the killer ratio: half of the ads aired in America can’t even communicate what product they are selling.
There’s a simple explanation: Most marketers are too involved in their product. Most agencies are too interested in their storytelling. Both miss market orientation.
They don’t realize that consumers don’t care about their product, don’t focus on advertising, and have a bazillion more important things to think about. This total lack of involvement contrasts directly with professionals spending eight hours a day fixated on one brand and a thirty-second masterpiece. We make ads in exact inversion to how they’re consumed.
Bad advertisers assume a single whiff of a logo at the end is enough—like a Hitchcock movie revealing its triumphant conclusion in the final frames. Brands with a more advanced grasp of effectiveness know better. They use distinctive assets from the outset to ensure immediate recognition at the start, throughout, and after. They squeeze value from every pixel they paid for.
Andrew Tindall’s “Rule of 7” is instructive here. His analysis of a giant Effie database suggests a brand needs seven distinctive assets in a thirty-second ad to achieve 100% branded recall. Not seven different assets—just seven repetitions of the colors, shapes, and other elements in your asset palette. And no, that doesn’t limit creativity. It challenges it to work harder toward its true purpose: advertising effect and sales.
Achieving branded recall and maintaining distinctiveness is crucial for all brands. But it’s especially critical for AI brands like ChatGPT, which are incredibly generic. They all look the same, operate the same, work off each other, launch innumerable product iterations, and fall blandly into a big, gray AI bucket.
While AI awareness is near-universal among Americans, most people don’t see any difference between AI providers. Menlo Ventures found that “most people don’t distinguish between older assistants like Alexa and Siri and newer large language models like ChatGPT and Claude. It’s all the same.” I don’t know which AI models I’m currently subscribed to. Do you?
Distinctiveness will be crucial in the next chapter of AI. There are too many competing brands. The two or three that survive won’t necessarily carve a differentiated position, but they’ll come to mind first by standing out. The route to that escape starts with making ads that don’t score a 59 for fluency.
Perplexity 暂停新的广告交易以重新评估雄心
Perplexity has paused accepting new advertisers as it rethinks how ads fit into its AI search experience, signaling a change in its monetization push.
At Advertising Week in New York City, Jessica Chan, head of publisher partnerships at Perplexity, said that the company is not “taking any new advertisers,” and that ads aren’t currently on the roadmap for Perplexity’s AI browser, Comet.
The move comes after the August departure of ad sales head Taz Patel, signaling a shift from Perplexity’s previous plan to scale its ad business beyond the U.S. In December, Perplexity added The Independent, LA Times, and Blavity to its Perplexity’s Publisher Program that pays publishers when content appears next to ads. At the time, Chan cited international partnerships as key to Perplexity’s growth.
Perplexity launched its ad offering last year and began testing campaigns with brands including Indeed, PMG, Universal McCann, and Whole Foods Market. Those early campaigns let brands sponsor follow-up questions in search results.
“That still exists today, but we didn’t want to inundate our user experience with a ton of ads overnight,” Chan said during the panel. “We’re continuing to scale it very thoughtfully and methodically—probably not at the scale everybody’s hoping for.”
Perplexity did not respond to request for additional comment beyond Chan’s comments at Advertising Week.
Advertising appears to make up only a small portion of Perplexity’s revenue. Last year, the company generated just $20,000 in ad revenue out of $34 million in total revenue, according to The Information.
As Perplexity reassesses its ads ambitions, questions remain about how much revenue its model is actually driving for publishers.
Two ad buyers told ADWEEK that they’ve struggled to measure performance metrics like click-through rates and return on ad spend on Perplexity because the platform doesn’t offer tools akin to established ad players. One publisher participating in Perplexity’s revenue-sharing program said the company has generated little meaningful income so far.
“The digital business models that have proven most successful are performance-based,” said Debra Aho Williamson, founder and chief analyst, Sonata Insights. “Companies that launched with a brand awareness model like Perplexity have struggled to maintain momentum.”
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