国盛证券研报指出，易点天下2025Q1-Q3实现归母净利润2.04亿元，同比增长4.41%；Q3实现归母净利 润6006.19万元，同比下滑4.80%；剔除汇兑损益和股份支付后，实现归母净利润8972.01万元，同比增 长16.95%。程序化广告平台高增长，Agentic AI营销智能体生态加速成型。AgenticAI营销智能体生态加 速成型，预发布AIDrive2.0数智营销解决方案。公司应用Sora2、GPT-5等前沿多模态大模型， AIDrive2.0数智营销解决方案架构下，AdsGo.ai、SEOPage.ai、CyberGrow、Sectionly.ai等AI产品矩阵加 速落地，公司以AIAgent将服务头部客户的核心能力产品化，将自身业务版图向广阔中长尾市场加速渗 透。公司积极拓展新业态客户，媒体资源多维度扩充，AgenticAI营销智能体生态加速成型，预计公司 2025-2027年分别实现归母净利润2.53/2.93/3.21亿元，对应PE54.4/46.9/42.9x，维持"买入"评级。 ...

Core Insights - Epoint's Q3 2025 revenue reached 980 million yuan, marking a year-on-year increase of 46.80% and a 25.31% growth compared to the previous quarter [1] - The company reported a total revenue of 2.717 billion yuan for the first nine months of 2025, reflecting a year-on-year growth of 54.94% [1] - Epoint is focusing on an "AI-driven service + product" model to enhance core customer service capabilities while expanding into mid- and long-tail markets [1] Financial Performance - Q3 2025 revenue: 980 million yuan, up 46.80% year-on-year [1] - Revenue for January to September 2025: 2.717 billion yuan, up 54.94% year-on-year [1] - R&D investment for the first three quarters of 2025 reached 109 million yuan, a 64.52% increase year-on-year [6] Market Trends - The "going global" strategy is becoming a significant growth path for Chinese enterprises, driven by structural trends in the market [2] - Epoint's market share in the e-commerce sector is expanding, with increased trust from major clients like Alibaba, SHEIN, and Temu [3] - The global programmatic advertising market is projected to reach $2.753 trillion by 2030, growing at a compound annual growth rate (CAGR) of 22.8% from 2024 to 2030 [5] Technological Advancements - Epoint is leveraging AI technology to enhance its service capabilities and product offerings, including the AI Drive 2.0 marketing solution and various AI tools [5][6] - The zMaticoo platform has over 12,000 partnered apps, covering more than 2 billion devices and 1.33 billion unique users, with daily ad requests reaching 220 billion [7] - The company is building a unique algorithmic moat through its extensive marketing data assets and continuous AI technology iterations [7]

前三季度，易点天下研发费用同比显著增长64.52%，达到1.09亿元，已超去年全年水平。 据悉，易点天下自GPT-3时代起便前瞻性布局AI应用，今年9月，易点天下发布全新一代数智营销解决 方案AI Drive 2.0，搭配AdsGo.ai、CyberGrow、SEOPage.ai、Sectionly.ai等一系列AI产品矩阵，逐步构 建"以增长为目标的AI智能体生态系统"。未来，公司将以持续的技术投入驱动AI应用释放商业价值，为 出海中国品牌提供更加普惠、高效且覆盖全球的增长解决方案。 10月27日，易点天下(301171.SZ)发布2025年三季报，2025第三季度营业收入9.80亿元，同比增长 46.80%，剔除汇兑损益与股份支付利润总额1.06亿元，同比增长25.31%，剔除汇兑损益与股份支付的归 母净利润8972.01万元，同比增长16.95%。1-9月实现营业收入27.17亿元，同比增长54.94%，剔除汇兑损 益与股份支付利润总额2.95亿元，同比增长43.37%。 ...

Core Viewpoint - The article discusses the transformative impact of AI Agents in marketing and business operations, highlighting the advancements made by 易点天下 (Easy Point World) in deploying AI-driven marketing solutions like AdsGo.ai, which significantly enhance efficiency and effectiveness in advertising campaigns [1][2]. Group 1: AI Agent Development and Implementation - 易点天下 has launched its AI Drive 2.0 digital marketing solution and the AdsGo.ai platform, which automates marketing tasks and allows businesses to focus on core operations [1][2]. - AdsGo.ai has demonstrated impressive results during its testing phase, achieving a 5x improvement in advertising strategy diversity, a 10x increase in creative material testing efficiency, and a 65% reduction in marketing labor costs [2]. - The application of AI Agents has penetrated various business functions, including product research, creative generation, operations, and information management, covering nearly all key roles within organizations [3][9]. Group 2: Types and Capabilities of AI Agents - AI Agents are categorized into general Agents and specialized Agents, with general Agents functioning as automation tools for specific tasks, while specialized Agents possess advanced capabilities such as intent understanding and task decomposition [4][19]. - The ultimate goal for AI Agents is to operate in a "goal-centered" manner, allowing for automated task breakdown and coordination without extensive manual intervention [5][19]. - A well-functioning AI Agent should have capabilities in intent understanding, task decomposition, autonomous operation, long-context memory, and multi-Agent state awareness [19][38]. Group 3: Steps for Building AI Agents - Companies should follow a four-step approach to successfully implement AI Agents: unify internal understanding of AI, invest adequately in AI tools, streamline business SOPs, and establish dedicated teams for Agent development [6][31]. - Training and aligning employee perceptions of AI is crucial for effective implementation, as is the need for organizations to embrace change and iterate quickly on their AI strategies [6][31]. - The construction of a knowledge base is essential, with structured documentation and FAQs serving as a foundation for effective AI utilization [32][44]. Group 4: Future Implications and Challenges - The integration of AI Agents is expected to shift organizational dynamics towards human-machine collaboration, enhancing efficiency in tasks such as document summarization and project management [30][44]. - Companies face challenges in managing multiple Agents, requiring a cohesive platform to integrate various AI tools and maintain operational efficiency [23][40]. - The future of AI in business will heavily rely on the ability to leverage private knowledge bases and non-structured data, which will become critical assets for competitive advantage [43][44].