中国营销行业AI应用丨研究报告 AI营销正进入到以"人"为颗粒度的个性化营销时代 营销5.0阶段兼具前几个营销阶段特征，技术赋能基础上搭建更为高级的营销框架，应用"类人技 术"在整个消费者体验过程中创造、传播较符合提升价值的活动。也是在此阶段，AI营销概念进入 探索期。发展到今天，AI营销进入到普及期，品牌及服务商创建专属营销大模型，由AI生成的多 模态广告内容形式更多样、ROI大幅提升，产品使用门槛大幅降低，未来会生成以"人"为颗粒度的 个性化营销，真正做到"千人千面"营销内容。 核心摘要： 人工智能（AI）技术的迅猛发展，为营销行业的数字化转型注入了新的活力，推动营销从赋能走向全能，开 启了一场深刻的变革。AI营销已成为业界关注的焦点，其核心在于突破传统营销的局限，构建全新的营销机 制，为品牌传播打造高效、精准、个性化的新型业务模式。具体而言，AI与营销的融合表现在营销生产力、 应用策略和组织、流程等多方面的适配与调整。本报告为帮助市场更清晰地了解当前AI营销市场发展的脉 络，认识AI营销业务链路变革、探究应用实践场景多样性及价值，并针对营销生态的发展、AI技术发展相关 延伸问题展开探讨。 AI营销概念及 ...

中国营销行业AI应用丨研究报告 核心摘要： 人工智能（AI）技术的迅猛发展，为营销行业的数字化转型注入了新的活力，推动营销从赋能走向全能，开 启了一场深刻的变革。AI营销已成为业界关注的焦点，其核心在于突破传统营销的局限，构建全新的营销机 制，为品牌传播打造高效、精准、个性化的新型业务模式。具体而言，AI与营销的融合表现在营销生产力、 应用策略和组织、流程等多方面的适配与调整。本报告为帮助市场更清晰地了解当前AI营销市场发展的脉 络，认识AI营销业务链路变革、探究应用实践场景多样性及价值，并针对营销生态的发展、AI技术发展相关 延伸问题展开探讨。 AI营销概念及特征 中国AI营销市场发展进程 AI营销正进入到以"人"为颗粒度的个性化营销时代 营销5.0阶段兼具前几个营销阶段特征，技术赋能基础上搭建更为高级的营销框架，应用"类人技 术"在整个消费者体验过程中创造、传播较符合提升价值的活动。也是在此阶段，AI营销概念进入 探索期。发展到今天，AI营销进入到普及期，品牌及服务商创建专属营销大模型，由AI生成的多 模态广告内容形式更多样、ROI大幅提升，产品使用门槛大幅降低，未来会生成以"人"为颗粒度的 个性化营销， ...

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report aims to systematically outline the practical changes in smart marketing from 2023 to 2024, the application scenarios of AI in various marketing stages, and mainstream smart marketing tools [2] - Five major changes in smart marketing practices are identified for 2023-2024: (1) from localized trials to full-scale normalization, (2) from single graphic to complex multimodal, (3) from single-point efficiency to full-process collaboration, (4) from business tools to strategic empowerment, and (5) from cost consideration to outcome-based pricing [3][11] Summary by Sections Smart Marketing Practice Changes - The transition from localized trials to full-scale normalization indicates that leading companies have integrated AI-generated content (AIGC) advertising as a standard practice across the marketing chain [11] - The content output has evolved from text and images to include videos, audio, and digital personas, with multimodal generation technology becoming mainstream [11] - AI applications have expanded from addressing single-stage issues to covering the entire marketing process, enabling continuous strategy optimization through data feedback [11] AI in Marketing Lifecycle - AI is integrated throughout the marketing lifecycle, enabling precise customer acquisition, rapid generation of multiple versions of marketing content, multi-channel user engagement, and long-term value extraction from after-sales [12] Mainstream Smart Marketing Tools - Key tools for smart insights include Alibaba's Damo Pan, Baidu's Guoxing Pan, and others, which facilitate data integration and customer segmentation [4] - For smart content generation, tools like Dongxin's Yingcai Insight and Tencent's Miao Si are highlighted for their capabilities in personalized and innovative content creation [4] - In the smart advertising deployment phase, tools such as Alibaba's Wanshangtai and Douyin's Juyuan Engine are noted for their effectiveness in targeted advertising and performance monitoring [4] Smart Insights and Strategies - AI can effectively reduce customer acquisition costs by integrating multi-source data and managing customer profiles for targeted marketing [13][14] - The report emphasizes the importance of real-time data collection and customer behavior analysis to enhance marketing strategies [14] Smart Content Generation - AI addresses the challenge of consistently producing high-value content by enabling bulk generation of creative marketing materials across various formats [16][19] - The evolution from traditional RAG (Retrieval-Augmented Generation) to MarRAG (Marketing Retrieval-Augmented Generation) signifies a shift towards specialized marketing applications that can handle multimodal data and adapt to market dynamics [19][20] Smart Advertising Deployment - AI enhances advertising efficiency through intelligent selection of target audiences, budget management, and real-time performance monitoring [26][29] - Tools like Alibaba's Wanshangtai and Tencent's advertising solutions leverage AI for data-driven decision-making and campaign optimization [30] Marketing After-Chain - AI plays a crucial role in post-marketing activities, including automated customer service and personalized re-marketing strategies to improve operational efficiency [31][34] - The report highlights the use of AI in building and managing online stores, enabling businesses to create personalized landing pages and optimize customer interactions [31][34]