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AI营销专家灵狐副总裁崔娜娜:品牌如何用AI重筑618增长新路径

龚作仁 2026-06-24 16:12
龚作仁 2026/06/24 16:12

邦小白快读

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本文是AI营销专家对2026年618电商行业变化的深度解读,梳理了存量时代的增长新路径,核心干货如下:

1. 当前行业整体已经告别粗放流量投放,进入流量见顶的理性时代,大促回归满足消费需求的本位,消费者呈现感性悦己与理性务实并存的心态,满足情绪价值的产品、AI玩具等新兴品类仍有结构性增长机会。

2. AI已经从概念落地为实效增长工具,普通从业者和中小商家也可以用轻量化AI工具降低运营成本,提升转化效果,灵狐总结的AI搜索优化“天龙八步”法、“爱运营”智能诊断工具都有实操参考价值。

3. 想要在存量时代获得增长,需要重点构建三大核心能力,分别是AI原生能力、全域经营能力和数据技术底座。

本文针对2026年618存量竞争环境,给品牌增长提供了清晰的方向和可落地的参考,核心干货如下:

1. 消费趋势层面,当前全行业对大促的预期回归理性,消费者呈现感性悦己与理性务实并存的心态,满足情绪价值的产品、AI玩具等新兴品类依然保持强劲增长,结构性机会突出;行业增长逻辑已经从“老爆款+打折”转向“高频上新+品类创新+白牌孵化”,新品新品牌已经成为核心增长动力。

2. 品牌营销层面,需要从流量争夺转向价值深耕,依靠AI打磨流量转化效率,可采用“平台标准化AI工具+自研定制化能力”的组合,覆盖不同运营需求,通过AI完成全链路运营诊断、搜索心智抢占,实现精细化运营。

3. 能力建设层面,需要构建AI原生能力、全域经营能力,夯实数据技术底座,适配新的行业竞争环境。

本文梳理了2026年618后电商行业的最新变化,给不同规模卖家提供了机会提示和可落地的行动参考,核心内容如下:

1. 行业变化与机会:当前大盘流量见顶是长期常态,但结构性机会依然存在,新兴品类增长强劲,新品新商家已经成为核心增长动力;三大头部平台各有突围方向,京东依托供应链与线下拓展服务,天猫靠高复购稳住品牌存量,抖音靠消费券货架挖掘新增量,卖家可结合自身情况选择平台布局。

2. 落地增长方法:AI已经成为实效增长工具,中小卖家可以选择轻量化AI投放智能体,以低成本获得投放效果提升;中大卖家可以结合平台标准化AI工具加定制化能力,解决个性化运营问题,借助AI完成全链路诊断和搜索优化,提升转化效率。

3. 风险提示:依赖老爆款打折的旧增长逻辑已经失效,卖家需要尽快完成能力升级,抓住AI和新品增长的新风口。

本文梳理了当前电商行业的最新变化,给工厂布局电商、推进数字化转型提供了多方面启示,核心内容如下:

1. 产品生产设计需求:当前消费者呈现感性悦己与理性务实并存的心态,满足情绪价值的产品、AI相关新兴品类依然保持强劲增长,行业增长逻辑已经转向高频上新、品类创新,工厂需要紧跟消费趋势调整生产设计方向,加大创新品类布局,加快上新节奏。

2. 商业机会:当前白牌孵化已经成为新的核心增长路径,工厂可以抓住行业风口,依托自身生产优势打造自有品牌与产品,开拓新的增长空间。

3. 数字化转型启示:工厂布局电商需要重视AI技术的落地价值,可依托现有成熟的平台AI工具和第三方AI产品,轻量化推进电商运营数字化,降低运营成本,提升转化效果,后续再逐步搭建自身的数字化能力底座。

本文结合2026年618的一线实践,明确了AI营销服务商的行业发展趋势、客户痛点和成熟发展方案,核心干货如下:

1. 行业发展趋势:存量竞争环境下,品牌客户已经从追求流量红利转向追求转化效率红利,AI已经从概念走向大规模商业化应用,品牌对AI赋能精细化运营、全域运营、新品快速起量的需求大幅提升,行业对服务商的综合能力要求越来越高。

2. 客户核心痛点:不同规模客户需求分层,大品牌有个性化运营需求,中小商家缺乏专业运营团队,需要低成本轻量化的AI工具,同时客户普遍需要全域触达消费者、新品快速起量的解决方案。

3. 发展方案参考:可以采用“平台之力+自研之力”双轮驱动模式,用平台标准化工具覆盖泛化需求,自研定制化产品满足个性化需求,同时推进技术能力产品化,服务中小商家,还需要构建AI原生能力、全域经营能力、数据技术底座三大核心能力。

本文结合2026年618大促实践,梳理了商家需求和头部平台的玩法,给平台运营、招商提供了参考,核心内容如下:

1. 商家核心需求:存量竞争时代,商家迫切需要平台提供成熟的AI工具,帮助提升流量转化效率,同时需要平台适配新的增长逻辑,给新品、新品牌、新商家提供更多生长空间,匹配从老爆款增长到新品创新增长的转变。

2. 头部平台成熟做法参考:当前头部平台已经探索出差异化突围路径,京东依托供应链与线下场景拓展服务,大力推进AI工具赋能商家,本次大促中京东数字人服务超8万商家,带货GMV超2.4亿元,效果显著;天猫靠高复购与品牌阵地稳住存量,抖音则通过消费券、货架场景挖掘新增量。

3. 平台运营方向:平台可以联合第三方AI营销服务商共同打磨AI工具,丰富AI工具矩阵,满足商家不同层次的需求,同时加大对新品新品牌新商家的扶持,挖掘存量市场的增量空间。

本文结合2026年618大促的最新实践,梳理了存量时代电商营销产业的新动向,给产业研究提供了一手的实践总结,核心内容如下:

1. 产业新动向:当前电商大促已经进入存量时代,流量红利消退,全行业回归理性,大促价值回归满足消费需求的本位,AI技术已经从概念红利转向商业化落地,成为新的技术红利来源;增长逻辑已经从过去的“老爆款+打折”转向“高频上新+品类创新+白牌孵化”,新产品新品牌新商家成为核心增长动力。

2. 新商业模式总结:第三方AI营销服务商已经探索出“平台之力+自研之力”双轮驱动的新商业模式,通过平台原生工具和自研产品的能力互补,同时覆盖大品牌个性化需求和中小商家轻量化需求,模式具备可复制性和推广价值。

3. 产业发展核心方向:未来电商营销产业的核心竞争力围绕AI原生能力、全域经营能力、数据技术底座三大核心能力构建,行业整体从野蛮扩张转向精细深耕。

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Quick Summary

This article is an in-depth analysis by an AI marketing expert on changes in China's e-commerce industry ahead of the 2026 618 Grand Promotion, outlining new growth pathways in the saturated market era. Key takeaways are as follows:

1. The industry has moved away from indiscriminate mass traffic buying and entered a rational era of plateaued overall traffic. Grand promotions are refocusing on their core purpose of meeting consumer demand, and consumers now balance emotion-driven "self-pleasing" consumption with rational pragmatism. Emerging categories such as emotion-driven products and AI toys still hold strong structural growth opportunities.

2. AI has moved beyond hype to become a practical growth tool. Ordinary practitioners and small and medium-sized merchants (SMEs) can now leverage lightweight AI tools to cut operational costs and improve conversion rates. The "8-Step AI Search Optimization" framework developed by Linghu AI and the "Ai运营" intelligent diagnostic tool both provide actionable practical references.

3. To achieve growth in the saturated market, brands and merchants need to build three core capabilities: AI-native capability, omni-channel operation capability, and a data and technology foundation.

Against the backdrop of saturated competition during the 2026 618 Grand Promotion, this article lays out clear growth directions and actionable references for brands. Key takeaways are as follows:

1. On consumer trends: Industry expectations for grand promotions have normalized, and consumers balance emotion-driven "self-pleasing" spending with rational pragmatism. Emerging categories such as emotion-aligned products and AI toys still see strong growth, creating prominent structural opportunities. The industry's growth logic has shifted from "old hit products + deep discounts" to "frequent new product launches + category innovation + white-label brand incubation", with new products and new brands now serving as the core growth driver.

2. On brand marketing: Brands need to shift from competing for raw traffic to deepening value delivery, and leverage AI to refine traffic conversion efficiency. A hybrid model of "platform-standardized AI tools + in-house customized capabilities" works best to cover diverse operational needs. Brands can use AI to conduct full-funnel operational diagnostics and capture search-based mindshare to achieve refined operations.

3. On capability building: Brands need to develop AI-native capability and omni-channel operation capability, while strengthening their data and technology foundation to adapt to the new competitive landscape.

This article outlines the latest industry changes following the 2026 618 Grand Promotion, and provides opportunity alerts and actionable guidance for sellers of all sizes. Key takeaways are as follows:

1. Industry changes and opportunities: Plateaued overall market traffic has become a long-term norm, but strong structural growth opportunities remain, with new products and new sellers emerging as the core growth driver. China's three top e-commerce platforms have each carved out unique breakout paths: JD.com focuses on supply chain advantages and expanding offline services, Tmall stabilizes its existing brand base via high customer repeat purchase rates, and Douyin taps new growth via consumer vouchers and its in-app e-commerce shelf. Sellers can choose platform layouts based on their own positioning and resources.

2. Actionable growth strategies: AI is now a proven practical growth tool. Small and medium-sized sellers can adopt lightweight AI投放智能体 to improve campaign performance at low cost; larger sellers can combine platform-standardized AI tools with customized in-house capabilities to solve personalized operational challenges, leveraging AI for full-funnel diagnostics and search optimization to boost conversion efficiency.

3. Risk alert: The old growth logic of relying on discounting old hit products is no longer effective. Sellers need to upgrade their capabilities as soon as possible to capture the new growth opportunities brought by AI and new product innovation.

This article summarizes the latest changes in China's e-commerce industry, and provides multi-faceted insights for factories looking to build out e-commerce channels and advance digital transformation. Key takeaways are as follows:

1. Product design and manufacturing requirements: Consumers today balance emotion-driven "self-pleasing" spending with rational pragmatism, and products that meet emotional needs as well as AI-related emerging categories maintain strong growth. The industry's growth logic has shifted to frequent new launches and category innovation, so factories need to adjust their product design and manufacturing strategies in line with consumer trends, expand布局 in innovative categories, and speed up new product release cycles.

2. Business opportunities: White-label brand incubation has become a new core growth pathway. Factories can capitalize on this industry trend, leverage their own production advantages to build their own brands and products, and open up new growth space.

3. Insights on digital transformation: Factories building e-commerce channels should recognize the practical value of AI implementation. They can start with mature platform AI tools and third-party AI products to roll out lightweight digitalization for e-commerce operations, cut operational costs and improve conversion, then gradually build their own in-house digital foundation.

Drawing on on-the-ground practice from the 2026 618 Grand Promotion, this article clarifies industry trends, core client pain points and proven growth strategies for AI marketing service providers. Key takeaways are as follows:

1. Industry development trends: In an environment of saturated competition, brand clients have shifted focus from chasing traffic dividends to pursuing conversion efficiency dividends. AI has moved beyond conceptual hype to large-scale commercial application, and brands' demand for AI to enable refined operations, omni-channel operations and fast new product scaling has increased sharply, raising the bar for service providers' overall capabilities.

2. Core client pain points: Client needs are segmented by scale: large brands have customized operational needs, while small and medium-sized merchants lack professional operational teams and require low-cost, lightweight AI tools. Across the board, clients need solutions that enable omni-channel consumer reach and fast new product scaling.

3. Recommended growth strategies: Providers can adopt a two-wheel driven model of "leveraging platform strengths + leveraging in-house R&D strengths": use platform-standardized tools to cover generalized market demand, and develop customized in-house products to meet personalized demand. Providers should also productize their technical capabilities to serve small and medium-sized merchants, and build three core capabilities: AI-native capability, omni-channel operation capability, and a data and technology foundation.

Based on operational practice from the 2026 618 Grand Promotion, this article summarizes merchant demand and the strategies of leading platforms, providing guidance for platform operation and merchant recruitment. Key takeaways are as follows:

1. Core merchant demand: In the era of saturated competition, merchants urgently need platforms to provide mature AI tools to help improve traffic conversion efficiency. They also need platforms to adapt to the new growth logic, by providing more room for growth for new products, new brands and new merchants, to align with the industry shift from old hit product-driven growth to new product innovation-driven growth.

2. Proven strategies from leading platforms: China's top platforms have already developed differentiated breakout paths: JD.com leverages its supply chain advantages and offline scenarios to expand services, and aggressively rolls out AI tools to empower merchants; during this year's 618 promotion, JD's digital human solution served more than 80,000 merchants and drove over 240 million yuan in GMV, delivering strong results. Tmall stabilizes its existing market via high repeat purchase rates and its position as a core brand hub, while Douyin taps new growth through consumer vouchers and its shelf e-commerce scenario.

3. Recommended direction for platform operation: Platforms can co-develop AI tools with third-party AI marketing service providers to expand their AI tool matrix and meet the tiered needs of merchants. They should also increase support for new products, new brands and new merchants to unlock incremental growth within the saturated overall market.

Drawing on the latest on-the-ground practice from the 2026 618 Grand Promotion, this article summarizes new trends in e-commerce marketing in the saturated market era, providing first-hand practical insights for industry research. Key takeaways are as follows:

1. New industry trends: E-commerce grand promotions have entered the saturated market era, with traffic fading and the entire industry shifting to rational operation. Grand promotions have refocused on their core purpose of meeting consumer demand. AI has moved beyond concept hype to commercial implementation, becoming the new source of technological dividends. The industry growth logic has shifted from the old model of "hit products + discounts" to "frequent new launches + category innovation + white-label incubation", with new products, new brands and new merchants now serving as the core growth driver.

2. New business model summary: Third-party AI marketing service providers have developed a proven new two-wheel driven business model of "leveraging platform strengths + leveraging in-house R&D strengths". By combining the complementary capabilities of native platform tools and in-house developed products, this model simultaneously covers the personalized needs of large brands and the lightweight needs of small and medium-sized merchants, and is replicable and scalable across the industry.

3. Core direction for industry development: The core competitiveness of the future e-commerce marketing industry will be built around three core capabilities: AI-native capability, omni-channel operation capability, and a data and technology foundation. The industry as a whole is shifting from unbridled expansion to deep, refined operation.

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.

2026年的618,流量见顶、脉冲前置、预期理性——当大促不再意味着“一天卖出一个月的量”,品牌与营销服务商该如何在存量时代找到增长的新锚点?

带着对存量时代增长命题的思考,灵狐副总裁崔娜娜于本期专访中深度解读本届618的行业逻辑,并分享了灵狐以AI为核心抓手,推动品牌从“流量争夺”迈向“价值深耕”,穿越周期守住增长的实战路径。

1.618不再“狂欢”,流量天花板下的理性回归

618发展至今,整个电商市场已经告别了粗放流量投放模式,能否抓牢效率红利,做深精细化运营,成了各家比拼的核心。几大平台也各有突围思路:京东依托供应链与线下场景拓展服务,天猫靠高复购与品牌阵地稳住存量,抖音则通过消费券、货架场景挖掘新增量。

“流量天花板早已不是新话题,而是连续多年的常态。”崔娜娜开门见山。从今年618的整体数据来看,尽管脉冲式爆发依然存在,但更大的变化在于,无论是平台、商家还是消费者,对大促的期待都变得更加理性和克制。

行业对618这一经典大促节点的重视依旧未变,但大促的价值内核正逐步回归本位——集中满足消费需求,而非创造需求奇迹。值得关注的是消费者呈现出了“感性悦己和理性务实并存”的心态。在大盘流量见顶的背景下,品类间的分化日益显著,一些满足情绪价值的产品、AI玩具等新兴品类依然保持着强劲的增长势头。这意味着,结构性机会依然存在,关键在于能否精准地找到并放大它。

“这就要求我们必须更深度地理解客户的产品优势,并能在碎片化的流量中,用消费者和AI都能理解的方式,将这种优势精准地传达出去。”崔娜娜认为,存量竞争的本质,是对流量转化效率的极致打磨。

2.AI落地,从概念红利到实效工具的双轮驱动

如果说流量红利消退是今年618的A面,那B面无疑是AI技术从概念走向大规模应用。以京东为例:在大促中,数字人服务超8万商家,带货GMV超2.4亿元,京准通驱动商品成交环比增长超100%,京小通累计调用超12万次,AI购、京言也深度助力用户消费决策。

面对这一趋势,灵狐的打法清晰而务实,核心是“平台之力+自研之力”双轮驱动。

在平台侧,灵狐不仅深耕平台AI工具的应用研究与落地实践,还与平台方进行共建,因此对工具的能力边界、适配场景与优化技巧形成了更系统化的深度认知。灵狐正持续推动“京小通”等平台原生工具与自研智能体形成协同互补的能力矩阵:以平台标准化工具覆盖客户泛化性运营需求,以自研定制化能力攻克客户个性化业务难题。

在自研侧,灵狐已沉淀出覆盖运营全场景的AI产品矩阵,核心代表包括“爱运营”AI诊断工具与AI搜索优化“天龙八步”运营法。

其中,“爱运营”是专为电商场景打造的智能诊断产品,覆盖前台价格与竞品实时监控、消费者视角页面转化诊断、后台数据整合速览与智能报告三大核心场景,可精准识别运营链路中的潜在问题,实现全链路隐患可查、可优化。而AI搜索优化“天龙八步”运营法,是灵狐针对AI推荐时代搜索逻辑变化沉淀的体系化方法论,涵盖电商GEO优化、平台旗舰店布局、商品推广运营、用户交互维护等八大维度,为品牌在AI流量时代抢占搜索心智提供了完整的行动框架。除此之外,灵狐还鼓励一线运营人员依托公司底层技术能力,搭建适配自身工作流的垂直智能体。

这套逻辑同样惠及中小商家。灵狐正推进技术能力产品化,例如开发以增效为目标的智能化投放智能体,基于模型算法直接优化投放效果,让缺乏专业运营团队的中小商家,也能以轻量化成本享受AI带来的效果提升。

在谈及增长新引擎时,崔娜娜特别指出,今年618另一个不可忽视的趋势是“新力”的强势崛起——新产品、新品牌、新商家已从引流工具升级为增长主力。三大平台新品销售数据均实现大幅攀升,增长逻辑已不再依赖“老爆款+打折”的老路,而是全面转向了“高频上新+品类创新+白牌孵化”。这一变化也对服务商提出了更高要求:要具备快速推新、品类创新与跨渠道协同的全域能力,在下半场冲刺阶段,唯有将新品运营、AI、直播与多平台布局紧密结合,才能真正打开增量空间。

3.灵狐建议,穿越周期的三大核心能力

面对这样的行业变局,品牌与服务商需构建何种能力才能不被洪流卷走?崔娜娜结合灵狐的一线实践,给出了三大能力的建设方向。

第一,构建AI原生能力。这绝非停留在“会用AI工具”的表层阶段,而是要将AI逻辑深植于运营的基因之中。服务商必须深度研究AI的推荐逻辑,理解用户行为如何在AI的影响下发生变化,才能抓住AI时代的红利。这背后,需要一定的自研技术和智能体构建能力。

第二,锻造全域经营能力。当消费者越来越趋于理性,购买决策也变得愈发谨慎。他们往往在电商平台之外——如小红书、抖音等内容平台,就已经完成了种草和决策。这就要求服务商必须具备“站内外一体化”的全域能力,在消费者决策的全旅程中实现有效触达与承接。

第三,夯实数据与技术底座。想要深度读懂平台与用户,核心依靠扎实的数据与技术能力。通过体系化的大数据分析,精准拆解“什么产品推给谁能产生最高转化”这类问题,正是存量时代精细化运营的核心根基。

2026年的618,正清晰勾勒出一条增长新基线:流量红利让位于技术红利,野蛮扩张让位于精细深耕。作为深耕AI营销与品效销一体化的服务商,灵狐将持续深耕AI技术应用、搭建全域运营体系、夯实数据技术底座,助力品牌在行业变局中锚定增长节奏,在理性消费的新常态下探寻可持续的长期增长路径。

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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