核心摘要： 观察过去近二十年AI发展史，企业营销永远是率先落地的场景。智能体作为当前全球AI最热门方向，全球泛营销SaaS巨头如 Adobe, S alesforce, Hubspot, Applovin等都为自己贴上了营销智能体的标签。AI对企业营销和营销服务商，已从辅助工具逐渐迈向全链路自主决策系统的过程。中国营销技术企业正凭借工程师红 利和实战打磨的技术可靠性，重塑企业营销管理范式，同时在助力中企出海过程中，面对语言文化差异、营销人才缺失等挑战，极大降低了出海营销门槛和起步效 率。艾瑞率先发布国内首份营销智能体白皮书，希望为国内营销技术探索提供有价值的思考。 市场趋势与全球动态 营销智能体 丨 研究报告 三大变化：平台投放环境变化加速、隐私要求上升、企业加大数字营销投入 全球营销智能体的应运而生 从辅助预测分析到全链路营销自动化 计算机技术在营销领域的应用正在经历一场深刻的转型：它已经从最初仅仅承担数据分析与辅助决策的工具角色，逐渐演进为能够覆盖创意生成、投 放策略、效果监测与优化等在内的全链路营销自动化系统。一些头部SaaS与广告平台开始推出智能投放套件和创意生成工具。尤其是在海外市场，越 来越多的品 ...

Core Insights - The article emphasizes the rapid evolution of marketing intelligence agents, which are transforming from auxiliary tools to autonomous decision-making systems in marketing. This shift is driven by advancements in AI technology and the increasing adoption of AI-driven solutions by global marketing SaaS giants like Adobe, Salesforce, and HubSpot [1][4][22]. Market Trends and Global Dynamics - Three major changes are identified: accelerated changes in platform advertising environments, rising privacy requirements, and increased digital marketing investments by enterprises [2]. Emergence of Global Marketing Intelligence Agents - The application of computer technology in marketing is undergoing a profound transformation, evolving from data analysis and decision support to comprehensive marketing automation systems that cover creative generation, deployment strategies, and performance monitoring [4][11]. Challenges for Chinese Enterprises in Overseas Marketing - Chinese companies face significant challenges when expanding overseas, including cultural differences, complex channels, privacy and compliance issues, and cross-border payment difficulties [6]. Opportunities for Chinese Enterprises in Overseas Marketing - Marketing intelligence agents provide crucial support for Chinese companies in overseas marketing by assisting in material production, compliance checks, and localization operations, leveraging the rapid iteration of open-source large language models [8]. Definition of Marketing Intelligence Agents - Marketing intelligence agents are defined as products based on generative AI or machine learning algorithms that can autonomously or semi-autonomously execute marketing-related tasks, effectively assisting or replacing human marketing efforts [9]. Transition from Marketing Tools to Autonomous Agents - The development of marketing technology is transitioning from "tools" to "agents," with these agents now capable of real-time optimization across multiple channels, enhancing their decision-making capabilities [11][13]. Key Capabilities of Marketing Intelligence Agents - The four core capabilities of marketing intelligence agents include market insights, content generation, campaign optimization, and evaluation report generation, enabling comprehensive automated marketing and continuous optimization [15]. Future Technology Trends - The collaboration of multiple agents forms a closed-loop system, combining creative, deployment, and analytical agents to achieve a cycle of creative generation, advertising deployment, data feedback, and strategy adjustment without human intervention [17]. Challenges in AI + SaaS Models - The monetization of AI within SaaS companies faces challenges, with many companies maintaining a conservative outlook on AI's impact on financial reports despite the growing integration of AI functionalities [19][20]. Market Environment for AI + Marketing - The global and Chinese AI + marketing markets are rapidly evolving, driven by technological innovation, regulatory changes, and shifts in business models, with both markets transitioning from "tool-based" to "intelligent" solutions [22]. Commercial Model Analysis of Marketing Intelligence Agents - The commercial model of marketing intelligence agents is evolving from a "single software subscription" to a "multi-dimensional revenue system," encompassing SaaS subscriptions, advertising revenue sharing, and value-added services [31]. Market Size and Forecast for Marketing Intelligence Agents in China - The market for marketing intelligence agents in China is expected to continue growing, with projections indicating it could exceed 100 billion yuan by 2030, driven by the integration of AI technologies in advertising and marketing [34]. Digital Marketing Penetration in China - China's digital economy is experiencing rapid growth, with a digital economy scale reaching 53.9 trillion yuan in 2023, significantly outpacing GDP growth rates, and AI technologies accelerating the digital transformation of marketing [36]. Policy Framework for AI + Marketing in China - China has established a multi-layered policy framework to support and regulate the integration of AI in marketing, covering strategic guidance, technological research, industry applications, and compliance [38][41]. Global Competitive Landscape - The competitive landscape for marketing intelligence agents includes both upgrades and integrations of existing Martech products, presenting opportunities for collaboration among various players in the industry [42]. Global Opportunities for Chinese Enterprises - Chinese marketing intelligence products have a global opportunity to challenge existing giants by offering next-generation, AI-native automated infrastructure, leveraging unique business and talent structures [45][48].

Core Insights - The article emphasizes the evolution of AI in marketing, highlighting the transition from auxiliary tools to autonomous decision-making systems in marketing strategies. Major global SaaS companies are adopting the label of marketing intelligence agents, indicating a shift towards comprehensive marketing automation solutions [1][4][11]. Market Trends and Global Dynamics - Three significant changes are noted: accelerated changes in platform advertising environments, rising privacy requirements, and increased digital marketing investments by enterprises [2]. Emergence of Global Marketing Intelligence Agents - The application of computer technology in marketing is undergoing a profound transformation, evolving from data analysis tools to comprehensive marketing automation systems that cover creative generation, deployment strategies, and performance monitoring [4][11]. Challenges for Chinese Enterprises in Overseas Marketing - Chinese companies face challenges such as cultural differences, complex channels, privacy and compliance issues, and cross-border payment difficulties as they expand internationally [6]. Opportunities for Chinese Enterprises in Overseas Marketing - Marketing intelligence agents provide crucial support in content creation, compliance checks, and localization for Chinese companies venturing abroad, leveraging open-source large language models to generate marketing materials that align with overseas user preferences [8]. Definition of Marketing Intelligence Agents - Marketing intelligence agents are defined as products based on generative AI or machine learning algorithms that can autonomously or semi-autonomously execute marketing-related tasks, effectively assisting or replacing human marketing efforts [9]. Key Capabilities of Marketing Intelligence Agents - The four core capabilities of marketing intelligence agents include market insights, content generation, campaign optimization, and evaluation report generation, enabling full-cycle automated marketing and continuous optimization [15]. Future Technology Trends - The collaboration of multiple intelligence agents forms a closed-loop system, combining creative, deployment, and analytical agents to achieve a cycle of creative generation, advertising deployment, data feedback, and strategy adjustment without human intervention [17]. AI + SaaS Model Challenges - The monetization of AI within the SaaS model faces challenges, with companies adopting AI credits and bundling AI features with SaaS software, yet maintaining conservative expectations regarding AI's impact on financial reports [19]. Market Environment for AI + Marketing - The global and Chinese AI + marketing markets are rapidly evolving, driven by technological innovation, regulatory changes, and shifts in business models, with both markets transitioning from "tool-based" to "intelligent" solutions [22]. Commercial Model Analysis of Marketing Intelligence Agents - The commercial model for marketing intelligence agents is evolving from a single software subscription to a multi-dimensional revenue system, including SaaS subscriptions, advertising revenue sharing, and value-added services [31]. Market Size and Forecast for Marketing Intelligence Agents in China - The market for marketing intelligence agents in China is expected to grow significantly, potentially exceeding 100 billion yuan by 2030, driven by the integration of AI technologies and the digital transformation of the advertising industry [34]. Digital Marketing Penetration in China - China's digital economy is experiencing rapid growth, with a digital economy scale reaching 53.9 trillion yuan in 2023, significantly outpacing GDP growth rates, and AI technologies accelerating the digitalization of marketing [36]. Policy Framework for AI + Marketing in China - China is advancing the integration of AI and marketing through a multi-layered policy framework that includes strategic guidance, technological research, industry applications, and regulatory compliance [38][41]. Global Competitive Landscape - The competitive landscape for marketing intelligence agents includes both upgrades and integrations of existing Martech products, presenting opportunities for collaboration among various players in the industry [42]. Global Opportunities for Chinese Enterprises - Chinese marketing intelligence products have the potential to challenge established giants by offering next-generation, AI-native automated infrastructure, leveraging unique business and talent structures [45]. Cost-Effectiveness of Chinese Marketing Intelligence Solutions - The lower labor costs of Chinese software engineers enable the provision of high-cost performance sales solutions, with subscription fees often being 50% lower than comparable North American SaaS products [48].

Core Insights - The report by iResearch focuses on the development of marketing intelligence agents, which utilize generative AI or machine learning algorithms to automate marketing tasks, highlighting their transformative value in the marketing sector [1] Group 1: Development Background - The global marketing environment is undergoing three significant changes: accelerated iteration of platform advertising rules, increased privacy regulations, and rising digital marketing investments, with digital channels expected to account for 61.1% of marketing spend by 2025 [8][12] - Chinese companies face challenges in overseas marketing due to cultural differences, complex channels, compliance, and cross-border payment issues, which marketing intelligence agents can help address through multilingual content generation and compliance checks [13][15] Group 2: Technological Evolution - Marketing tools have evolved from single advertising platforms to intelligent agents capable of market insights, content generation, ad optimization, and performance reporting, enabling cross-channel automation [10][24] - The key capabilities of marketing intelligence agents include market insights, content generation, ad optimization, and performance evaluation, which collectively enhance marketing efficiency and decision-making quality [24] Group 3: Industry Ecosystem - The ecosystem consists of upstream technology providers (both domestic and international), advertising channels, midstream toolchain companies, and downstream sectors focusing on cross-border e-commerce, brands, and gaming [1][32] - Major players in the ecosystem include domestic models like Wenxin Yiyan and international models like ChatGPT, with advertising channels such as Douyin and Google Ads serving as platforms for deployment [1][32] Group 4: Business Models - The primary business models in this sector include revenue sharing from ad placements, subscription models, and value-added services such as creative production and consulting [1][29] - The market for intelligent marketing agents in China is expected to exceed 100 billion yuan by 2030, indicating significant growth potential [1] Group 5: Benchmark Cases - Notable examples of marketing intelligence applications include Meta's Advantage+ automated advertising product, which streamlines the entire shopping and app advertising process, and Tiandong Technology's Navos marketing AI Agent, which optimizes market analysis and ad placement [1][15]

Core Insights - The article emphasizes the rapid evolution of marketing intelligence agents, which are transforming from auxiliary tools to autonomous decision-making systems in marketing. This shift is driven by advancements in AI technology and the increasing demand for automated marketing solutions [1][4][11]. Group 1: Market Trends and Global Dynamics - Three major changes are identified: accelerated changes in platform advertising environments, rising privacy requirements, and increased digital marketing investments by companies [2]. - The application of computer technology in marketing is undergoing a profound transformation, evolving from data analysis tools to comprehensive marketing automation systems that cover creative generation, deployment strategies, and performance monitoring [4]. Group 2: Challenges for Chinese Enterprises in Overseas Marketing - Chinese enterprises face significant challenges when expanding overseas, including cultural differences, complex channels, privacy and compliance issues, and cross-border payment difficulties [6]. - The demand for overseas marketing has surged in the past five years, particularly in cross-border e-commerce and mobile gaming, but these challenges remain critical obstacles [6]. Group 3: Opportunities Presented by Marketing Intelligence Agents - Marketing intelligence agents provide crucial support for Chinese enterprises in overseas marketing by assisting in material production, compliance checks, and localized operations [8]. - The rapid iteration of open-source large language models offers unprecedented advantages for Chinese companies, enabling them to generate advertising content that aligns with overseas user preferences [8]. Group 4: Definition and Capabilities of Marketing Intelligence Agents - Marketing intelligence agents are defined as products based on generative AI or machine learning algorithms that can autonomously or semi-autonomously execute marketing-related tasks, effectively assisting or replacing human marketing efforts [9]. - The core capabilities of these agents include market insights, content generation, deployment optimization, and evaluation report generation, facilitating full-link automated marketing and continuous optimization [15]. Group 5: Future Technology Trends - The collaboration of multiple intelligence agents can form a closed-loop system, combining creative, deployment, and analytical agents to achieve a cycle of creative generation, advertising deployment, data feedback, and strategy adjustment without human intervention [17]. - The integration of large models enhances the capabilities of these agents, addressing language barriers and cultural differences in cross-border marketing [17]. Group 6: Market Size and Forecast - The market for intelligent marketing agents in China is expected to continue growing, with projections indicating it could exceed 100 billion yuan by 2030, driven by the integration of AI technologies and the digital transformation of the advertising industry [34]. - The digital economy in China is experiencing rapid growth, with a digital economy scale reaching 53.9 trillion yuan in 2023, significantly outpacing GDP growth [36]. Group 7: Policy Framework - China has established a multi-layered policy framework to support the integration of AI and marketing, encompassing strategic guidance, technological research, industry applications, and regulatory compliance [38][41]. - Recent policies emphasize the need for transparency and compliance in AI-generated content, ensuring that marketing practices align with legal and ethical standards [41]. Group 8: Global Competitive Landscape - Chinese marketing intelligence products have the opportunity to challenge existing giants like Adobe and Salesforce by offering next-generation, AI-native automated infrastructure, leveraging unique business and talent structures [45]. - The evolution of marketing intelligence agents reflects a shift from traditional software models to more collaborative and integrated approaches, enhancing the overall effectiveness of marketing strategies [42].

Core Thesis - DocuSign, Inc. is viewed positively despite recent market reactions to AI competition, particularly from OpenAI's "DocuGPT" [2][5] - The stock was trading at $71.35 with trailing and forward P/E ratios of 51.59 and 16.81 respectively [1] Market Reaction - DocuSign's stock dropped 12% following the announcement of DocuGPT, reflecting market fears of disruption [2] - Analysts at Jefferies suggest that DocuGPT is a single-task tool and not a comprehensive replacement for DocuSign's offerings [2] Competitive Positioning - DocuSign integrates AI within its Identity and Access Management (IAM) and Contract Lifecycle Management (CLM) suites, providing end-to-end solutions [2][3] - The company is positioned as a scalable platform for enterprise clients, indicating that the market may have overreacted to the AI news [3] Financial Outlook - DocuSign faces challenges such as a high P/E ratio around 50x and an expected decline in net income this year [3] - Despite these challenges, the core business remains strong, supported by established client relationships and recurring subscription revenue [4] Investment Opportunity - The recent stock pullback is seen as a potential entry point for long-term investors focused on digital signature and contract management solutions [4] - The combination of entrenched enterprise usage, integrated AI enhancements, and platform stickiness presents a compelling risk/reward opportunity [5]