淘宝直播商家运营方法论丨 白皮书 序言： 近年来，中国直播电商行业经历高速增长后迈入"效率驱动"新周期。用户行为的多线程跳跃、消费需求的分 层化演进、品质与信任价值的权重攀升以及全域流量生态的碎片化挑战等，共同推动商家的运营逻辑迎来全 面焕新的临界点。如何实现商品全生命周期的高效管理、如何在全域场景中精准触达用户、如何协同短期爆 发与长期品牌价值沉淀，成为商家突围的核心命题。 在此背景下，淘宝直播与艾瑞咨询联合发布2025年淘宝直播商家运营方法论白皮书，旨在为商家提供系统 性策略指引。基于对行业趋势的深度洞察，我们提出E-MAX商家运营框架，以全周期供给、全触点渗透、 全场域营销为核心举措，助力商家优化商品效能、打通流量壁垒、整合营销资源，最终实现平台全生态协 同。 本白皮书不仅剖析了直播电商市场的结构性变化，更结合淘宝直播平台的实战经验，通过头部商家的成功案 例验证策略的有效性。我们期待，通过这份报告为直播电商从业者提供前瞻性视角与可落地的解决方案，帮 助商家构建"稳存量、拓增量"的可持续路径。 2024年直播电商市场增速为17.7%，行业迈入"效率驱动"新周期 2024 年中国直播电商市场规模达 5.8 ...

Core Viewpoint - The article emphasizes the transition of the live e-commerce industry in China from a "traffic expansion" phase to an "efficiency-driven" phase, highlighting the need for merchants to adopt refined operational strategies to achieve sustainable growth [1][2][5]. Group 1: Market Trends - The live e-commerce market in China is projected to reach 5.8 trillion yuan in 2024, reflecting a year-on-year growth of 17.7%, indicating a shift towards deep operational efficiency [2]. - User growth in the live e-commerce sector is slowing, with user penetration rates in short videos, live streaming, and online shopping exceeding 75%, necessitating a focus on existing user engagement [5]. Group 2: User Behavior and Demand - User behavior is characterized by multi-threaded decision-making, with a shift in consumer attention towards a combination of "shelf + content," requiring merchants to create non-linear, dynamic outreach strategies [8]. - Consumer demand is increasingly fragmented, with a notable shift from a focus on "extreme cost-performance" to a dual emphasis on "price + quality," as 76.9% of consumers prioritize product quality over price sensitivity [14]. Group 3: Merchant Strategies - Merchants are encouraged to implement refined user operation strategies that focus on "activation of existing users, demand exploration, and value reconstruction" to maximize user lifecycle value [5]. - The E-MAX merchant operation framework is introduced, focusing on "full-cycle supply, full-touchpoint penetration, and full-field marketing" to enhance product efficiency and integrate marketing resources [21][60]. Group 4: Operational Framework - The full-cycle supply strategy involves optimizing the product lifecycle through differentiated strategies for the incubation, explosion, and deep cultivation phases [23][61]. - Full-touchpoint penetration aims to connect various traffic channels, including public and private domains, to enhance user engagement across multiple platforms [33][62]. - Full-field marketing integrates live and brand marketing resources to create a synergistic effect, enhancing both immediate sales and long-term brand recognition [63][64]. Group 5: Case Studies and Examples - Successful case studies illustrate how brands like UR and vivo leverage the E-MAX framework to achieve significant sales growth and brand exposure through strategic marketing initiatives [66][85]. - The article highlights the importance of AI technology in upgrading live streaming operations, improving efficiency and effectiveness for merchants [90][91].

Core Insights - The article emphasizes the transition of the live e-commerce industry in China into an "efficiency-driven" phase, focusing on refined operations in product management, traffic, and marketing strategies to achieve sustainable growth [2][5][60] Group 1: Market Overview - The live e-commerce market in China is projected to reach 5.8 trillion yuan in 2024, reflecting a year-on-year growth of 17.7% [2] - The industry is shifting from "traffic expansion" to "efficiency-driven" operations, necessitating a systematic integration of traffic and multi-ecosystem collaboration for long-term growth [2][5] Group 2: User Behavior and Demand - User growth in the live e-commerce sector is slowing, with penetration rates for short videos, live broadcasts, and online shopping exceeding 75%, prompting a shift from broad user acquisition to deep user engagement strategies [5][8] - Consumer demand is becoming fragmented, with a notable shift from "extreme cost-performance" to a dual focus on "price + quality," indicating a need for merchants to adapt their product offerings accordingly [11][14] Group 3: Merchant Strategies - Merchants are encouraged to develop a non-linear, dynamic approach to reach users, utilizing multiple touchpoints and time-segmented content strategies to enhance conversion rates [8][19] - The E-MAX merchant operation framework is introduced, focusing on maximizing supply efficiency, penetrating all touchpoints, and integrating marketing resources to achieve ecosystem synergy [21][60] Group 4: Operational Framework - The E-MAX framework consists of three main strategies: Maximizing Cycle Supply, Adaptive Access, and X-Field Marketing, aimed at optimizing product efficiency and enhancing marketing effectiveness [21][60] - The full-cycle supply strategy involves managing products through their lifecycle stages: incubation, explosion, and deep cultivation, with tailored strategies for each phase [23][61] Group 5: Marketing and Brand Building - The article highlights the importance of integrating live marketing with brand marketing to create a synergistic effect that enhances both immediate sales and long-term brand recognition [19][63] - Merchants are advised to leverage AI technology to improve operational efficiency and effectiveness in live streaming, addressing challenges such as information filtering and operational costs [90][91]

Core Viewpoint - The article emphasizes the transition of the live e-commerce industry in China into a new phase driven by efficiency, focusing on refined operations in product management, traffic, and marketing strategies to achieve sustainable growth [2][5][60]. Group 1: Market Overview - The live e-commerce market in China is projected to reach 5.8 trillion yuan in 2024, reflecting a year-on-year growth of 17.7%, indicating a shift from extensive growth to a phase of deep operational efficiency [2]. - The industry is facing structural challenges as user growth slows, with user penetration rates in short videos, live streaming, and online shopping exceeding 75%, leading to a focus on user retention and value extraction [5][11]. Group 2: User Behavior and Demand - User behavior is characterized by multi-threaded decision-making, with a shift in consumer attention towards a combination of "shelf + content," necessitating a non-linear, dynamic approach to reach users effectively [8][14]. - There is a notable shift in consumer demand from "extreme cost-effectiveness" to a dual focus on "price + quality," with 76.9% of consumers prioritizing product quality over price sensitivity [14][17]. Group 3: Operational Strategies - The E-MAX merchant operation framework is introduced, focusing on maximizing supply efficiency throughout the product lifecycle, penetrating all touchpoints, and integrating marketing resources for ecosystem synergy [21][60]. - The framework includes three phases: incubation, explosion, and deep cultivation, each requiring tailored strategies to enhance product supply efficiency [23][61]. Group 4: Marketing and Brand Building - The article highlights the importance of integrating live marketing with brand marketing to create a synergistic effect, enhancing both immediate sales and long-term brand recognition [19][63]. - Brands are encouraged to leverage seasonal marketing events and innovative live streaming strategies to maximize exposure and drive sales during peak periods [44][46]. Group 5: Case Studies and Practical Applications - Successful case studies illustrate how brands like UR and vivo have effectively utilized the E-MAX framework to achieve significant sales growth and brand exposure through strategic live streaming and marketing initiatives [66][85]. - The article emphasizes the role of AI in enhancing the operational efficiency of live streaming, helping merchants optimize their entire operational chain [90][91].