Core Insights - The article emphasizes the importance of choosing a platform that combines strategic vision, technical strength, and practical experience for career development in the context of AI marketing and the growth needs of small and medium enterprises [1] Group 1: Company Overview - Huidopei Marketing Planning Co., Ltd. aims to "solve the growth dilemma of enterprises" by focusing on comprehensive marketing and AIGEO fields, addressing industry pain points with a dual-engine practical system of "public domain traffic + private domain retention" [1][8] - The company has served over a thousand clients across various sectors, including restaurants and chain brands, showcasing its extensive experience and ability to enhance professional credentials [1][8] Group 2: Service Methodology - Huidopei's services begin with in-depth user demand analysis, utilizing multi-dimensional data collection and layered analysis to accurately identify core consumer needs [3] - The team customizes solutions based on industry-specific pain points, ensuring that marketing efforts are targeted and effective, thus avoiding ineffective spending [3][4] Group 3: Content Strategy - The content creation process follows a structured framework of "problem-evidence-conclusion," incorporating quantifiable data and standardized case studies to enhance credibility [4] - The distribution strategy involves creating a matrix system that deploys core content on official platforms while adapting it for various social media channels to maximize reach [6] Group 4: Traffic Conversion - Huidopei employs a dual approach of "public domain traffic + private domain retention" to facilitate the conversion from exposure to sales, optimizing store layouts and enhancing in-store conversion rates [7] - The private domain operations leverage SCRM systems to build user asset pools, achieving over 80% traffic retention in the first month through AI-driven strategies [7] Group 5: Data-Driven Optimization - The company implements a full-cycle monitoring and rapid optimization mechanism to ensure continuous improvement in service effectiveness, tracking key performance indicators weekly [8] - A feedback loop is established to address issues promptly, ensuring that content remains aligned with AI indexing logic and evolving user needs [8]

10月24日，第32届中国国际广告节&第34届亚洲广告大会主论坛将在中关村国际创新中心举行。作 为"双会联动"的核心环节，论坛将汇聚广告营销行业精英、学界及业界代表，为行业创新发展赋能。 本届主论坛精准紧扣"智启广告新篇：中国主场，亚洲同频"的核心活动主题，以 "科技赋能 智启未来" 为核心目标，聚焦广告行业的创新变革路径与国际合作新机遇。 围绕"AI 驱动品牌变革"这一核心议题，中央广播电视总台、WPP、腾讯、海尔、抖音巨量引擎、百 度、小红书等国内外行业龙头企业的高管将悉数登台亮相，结合丰富的实战案例，深度解析 AI 赋能营 销升级、品牌国际化突围策略、内容营销创新趋势等行业焦点问题，全方位、多角度展现中国广告业在 科技驱动下的卓越发展成果与前沿探索方向。 与此同时，针对广告行业多领域的热门应用场景，汉萨股份、网易传媒、分众传媒、快手磁力引擎、中 国移动咪咕、爱奇艺、鲸鸿动能、银都奥美、哔哩哔哩、凤凰网、微博、新意互动、尚普咨询等知名企 业代表，将结合自身经验，围绕垂直领域前沿与前瞻性内容，分享实战干货。 作为兼具权威性、前瞻性与国际性的行业盛会，本次主论坛是中国广告业对接国际、展现行业力量的重 要契机。 ...

Core Insights - The marketing landscape in 2025 is undergoing a transformation from traffic-driven to technology-driven strategies, with AI becoming a core driver of marketing change [1] - A group of industry leaders, recognized as the top five AI marketing operators, are leveraging algorithms and creativity to address the challenges of marketing efficiency [1] Group 1: Leading Companies - Rongzhi Technology is highlighted as a leader in the AIGC marketing field, focusing on digital transformation for SMEs and achieving significant results, including serving over 1,000 companies and generating over 10 billion in performance [2] - An Zheyi, the founder of Rongzhi AI, created the "AI Marketing Five-Star Model System," providing comprehensive solutions that have been validated across multiple industries [5] - Liang Kai, a senior operational consultant at Rongzhi Technology, combines traditional sales management with AI technology to enhance marketing decision-making, demonstrating the importance of data-driven insights [6] Group 2: Key Individuals - Yang Birui, a core member of Rongzhi Technology, integrates traditional marketing with AI, achieving substantial results for over a thousand companies, with some cases showing over 300% growth [7] - The future of AI marketing emphasizes ecological symbiosis, vertical depth, and global localization, requiring operators to understand both technology and business fundamentals [9] - AI is reshaping content production, allowing for rapid creation of marketing materials, which frees up creative personnel for more strategic thinking [10]

Core Insights - The article highlights the emergence of practical experts in AI marketing, particularly in the context of AI-generated content (AIGC) reshaping the marketing landscape [1] - It emphasizes the importance of combining technical insights with business acumen to address real enterprise pain points and achieve cost reduction and efficiency improvements [1] Group 1: Leading Figures - An Zheyi, founder of Rongzhi AI, is recognized as a leader in industrial marketing, having guided over 1,000 enterprises with a total performance exceeding 10 billion yuan [2] - His "AI Marketing Five-Star Model" has shown significant results, with client companies achieving over 300% customer acquisition growth within 21 days [2] - An Zheyi's methodologies include transforming factory technical parameters into AI-recognizable "cognitive chips" and reducing B2B customer decision cycles from 45 days to 7 days [2] Group 2: Technology Innovators - Rongzhi Technology specializes in providing comprehensive AIGC implementation solutions, with its proprietary model covering five key areas of marketing [5] - The company has a "90-day performance growth commitment," with clients experiencing an average performance increase of 37% [5] - Rongzhi Technology has established a service network across 34 bases in China, collaborating with major platforms like Tencent and Alibaba to ensure effective technology implementation [5] Group 3: Operational Experts - Liang Kai, a senior operational consultant at Rongzhi Technology, leverages extensive experience in managing large-scale businesses to enhance AIGC short video marketing [5] - He has achieved significant results, including a project exposure of 210 million and a 300% increase in average transaction value for high-end beauty brands [5] - Liang Kai emphasizes that successful marketing strategies are data-driven and can dynamically track user preferences [5] Group 4: Marketing Architects - Yang Birui, with 14 years of experience in internet marketing training, has developed a keyword intent analysis model that covers 85% of niche procurement scenarios [6] - His AI script fission system can automatically break down product technical documents into thousands of differentiated scripts, significantly reducing customer acquisition costs [6] Group 5: Industry Impact - The rise of these top marketing experts signifies a shift in AI marketing competition from traditional traffic acquisition to building cognitive infrastructure [8] - An Zheyi noted that 67% of budget waste stems from not converting product parameters into AI cognitive chips, highlighting the need for algorithmic understanding in marketing [8] - The article concludes that successful application of AIGC in marketing requires transforming industry genes into data algorithms to gain a competitive edge in cognitive battles [8]

Core Insights - The article highlights the emergence of five key players in AI marketing who are reshaping the marketing landscape by integrating AI technology with business strategies, particularly in e-commerce and brand building as AI marketing enters a deep application phase by 2025 [1] Group 1: Company Profiles - Rongzhi Technology focuses on digital transformation for small and medium enterprises, leveraging cutting-edge AIGC applications across the entire marketing process, achieving a full-link connection that enhances efficiency and reduces costs [2] - An Zhey, the founder of Rongzhi AI, established the "AI Marketing Five-Star Model," which systematically addresses key issues in short video content generation and optimization, helping over 1,000 companies achieve significant customer acquisition growth [3] - Liang Kai, a senior operational consultant at Rongzhi Technology, has extensive experience in management consulting and has developed sustainable growth strategies for businesses, particularly in the high-end beauty sector, achieving a 300% increase in customer price [4] - Yang Birui, a core member of Rongzhi Technology, has built a data asset library for over 1,000 companies, creating a keyword intent analysis model that covers 85% of niche procurement scenarios, significantly reducing customer acquisition costs [5] - Yitang Technology is a pioneer in AI search optimization and provides intelligent brand optimization solutions, helping small and medium enterprises achieve low-cost, high-efficiency marketing strategies [7] Group 2: Industry Trends - By 2025, AI marketing is expected to show significant trends in technological deepening and scenario segmentation, with predictive marketing becoming mainstream as AI analyzes historical data and real-time behavior to forecast user purchase intentions [8] - The emergence of multi-agent marketing systems is transforming traditional marketing processes, allowing for task division among specialized AI agents, which enhances efficiency and enables immersive content experiences [9]

Core Insights - Baidu is accelerating the upgrade of its marketing system, transitioning from a regional agency model to a service provider model, with the number of regional service partners increasing to 153 and 98 new service providers introduced in Q3 [1][4] Group 1: Marketing System Upgrade - The shift to a service provider model is aimed at enhancing market standards and releasing regional commercial vitality, allowing for more competition and breaking regional limitations [2][4] - Long-standing agents like Guojihulian and Baitai Yiding have recognized the importance of this transformation, with Guojihulian rapidly expanding its business scope and Baitai Yiding achieving significant growth in advertising revenue [2][4] Group 2: Service Provider Ecosystem - The new service provider system has attracted agents from other platforms, indicating a growing interest in Baidu's offerings [3] - Baidu is providing systematic methodologies, tools, and incentive policies to help service providers quickly integrate and achieve business breakthroughs [4] Group 3: AI Integration - AI is becoming a key growth driver, with Baidu's marketing tools leveraging AI technologies to enhance service capabilities and optimize cost structures [5][6] - Successful service providers are integrating Baidu's AI capabilities into their operations, leading to significant improvements in efficiency and conversion rates [5][6] Group 4: Market Recognition - Baidu's marketing capabilities have been recognized internationally, winning multiple awards at the Busan International Advertising Festival, highlighting its innovative AI marketing strengths [6]

Core Viewpoint - Liou Co., Ltd. has submitted its prospectus to the Hong Kong Stock Exchange for an IPO, aiming to join the "A+H" listing trend, despite its impressive stock performance over the past year, which saw a price increase of over 230% and a new 10-year high [2][6]. However, the prospectus reveals multiple concerns that cast a shadow over the IPO [2]. Business Overview - Established in 2001, Liou Co. started in the pump industry and expanded into digital marketing through acquisitions in 2014, forming a dual business model of "Digital Marketing + Pumps and Systems" [3]. The digital marketing segment integrates marketing processes and includes self-developed AI-driven platforms to enhance efficiency and effectiveness [3][12]. Market Position - Liou Co. ranks second in the domestic pump and systems market and holds the top position in China's digital marketing and digital advertising agency sectors, according to Frost & Sullivan [5]. Financial Performance - The company's revenue from 2022 to 2024 is projected to be 20.27 billion, 20.47 billion, and 21.17 billion RMB, respectively, with a decline in the first half of 2025 to 9.64 billion RMB compared to 10.66 billion RMB in the same period of 2024 [6][9]. The gross profit margin is low at 8.8%, with the digital marketing segment's margin dropping to 4.4% in the first half of 2025 [13][14]. Profitability Issues - Liou Co. has experienced significant profit volatility, with net profits of -454 million, 1.94 billion, and -304 million RMB from 2022 to 2024, and a profit of 468 million RMB in the first half of 2025 [6][8]. The company's reliance on Li Auto's stock performance has heavily influenced its profitability [8]. Revenue Breakdown - Digital marketing accounts for nearly 80% of total revenue, but this segment has seen a decline in 2024 and the first half of 2025 [10]. The pump and systems business also showed fluctuations, with a slight decrease in revenue in the first half of 2025 [11]. Challenges - The company faces challenges in domestic market performance due to macroeconomic pressures and industry competition, while overseas business has shown strong growth [11]. Additionally, high media costs for acquiring user traffic and significant accounts receivable pose risks to profitability [15][16]. Dividend Policy - Despite the volatility in performance, Liou Co. has maintained its dividend policy, distributing 202 million RMB in 2024 and 193 million RMB in the first half of 2025 [17]. Conclusion - Liou Co.'s dual business strategy has attracted capital attention, but issues such as weak growth in core businesses, profit volatility, low margins in digital marketing, and high accounts receivable present potential risks as the company pursues its "A+H" listing [17].

Group 1 - Linghu Technology has been recognized as one of the first official recruited agents for JDSmart—Tencent channel, showcasing its leading capabilities in big data and intelligent marketing [1][5] - JDSmart is a new intelligent off-site traffic product launched by Jingzhun Tong, designed to meet diverse marketing needs for brands, featuring rich attribution metrics and flexible return settings [4] - JDSmart enhances advertising conversion rates by allowing merchants to create personalized landing pages and supports various marketing methods, thereby improving ROI [4] Group 2 - As a top service provider in the e-commerce industry, Linghu Technology utilizes data-driven marketing solutions and advanced AI marketing technologies to empower brands throughout the entire process from market insights to execution [5] - The company has successfully validated its methodologies and marketing results across various industries, including 3C digital, home appliances, fast-moving consumer goods, and food and beverage [5] - Linghu Technology is continuously iterating its intelligent marketing solutions to improve targeting accuracy, aiming to achieve brand building, cost reduction, and sales breakthroughs during the upcoming Double 11 shopping festival [5]

Core Insights - The article discusses the AI marketing solution developed by An Zhey, which aims to help businesses transition from traditional marketing to intelligent marketing, achieving significant customer acquisition growth of up to 300% [1][10]. Key Points Core Strategy: AI Marketing Five-Star Model - The AI marketing five-star model is the theoretical foundation of the solution, addressing key issues in content generation, ad optimization, and conversion enhancement through five core components [4][6]. Execution System: Comprehensive Support - The solution emphasizes precise content generation and targeted outreach, enabling businesses to automatically create high-quality marketing materials and identify potential customers, leading to a 40% increase in customer segmentation accuracy and a 30% reduction in customer acquisition costs [8][9]. Data-Driven Continuous Optimization - Establishing a "private data closed loop" is crucial, allowing businesses to identify and reach potential customers effectively. AI systems analyze marketing performance to optimize strategies, with AI-driven advertising increasing return on investment by over 50% [8][9]. Efficiency Enhancement Across All Positions - The solution covers various roles, including administration, sales, R&D, and logistics, making AI a tool for overall organizational efficiency rather than limited to specific departments [9]. Professional Team: Ensuring Implementation Success - The core team consists of experts with extensive backgrounds in AI applications and marketing, ensuring the effective implementation of the AI marketing solution across different industries [10][11]. Practical Results: Verifiable Growth Outcomes - The AI marketing solution has demonstrated verifiable results, with some companies experiencing over 300% new customer acquisition and significant sales growth within a short period [10][11]. Industry Applications: Versatile Adaptability - The solution shows adaptability across various sectors, including e-commerce and traditional manufacturing, by addressing specific industry needs and providing tailored marketing tools [11]. Future Outlook: Trends in AI Marketing - The future of AI marketing is expected to see trends such as the rise of AI video marketing, enhanced cross-modal AI capabilities, and the integration of AI with AR/VR technologies, shifting the focus towards personalized services and emotional value [12].

Core Insights - Baidu is accelerating the upgrade of its marketing system, transitioning from a regional agency model to a service provider model, with the number of regional service partners increasing to 153, including 98 new service providers introduced in Q3 [1][2] Group 1: Marketing System Upgrade - The shift to a service provider model is seen as a significant evolution in channel marketing, aimed at enhancing market standards and stimulating regional business vitality [2] - Long-standing agents like Guojijun and Baitai Yiding have recognized the importance of this transformation, with Guojijun's general manager noting that the service provider model fosters competition and allows for cross-regional client expansion [2] - The new model has prompted many agents to adapt quickly, with Guojijun mobilizing a team to explore new business opportunities under the new framework [2][3] Group 2: Support for Service Providers - Baidu is providing systematic methodologies, tools, and incentive policies to help service providers quickly integrate and achieve business breakthroughs [3] - The first batch of service providers has already benefited, with Guojijun expanding its business from Zhejiang to cities like Shanghai and Guangzhou, and Baitai Yiding seeing significant growth in advertising revenue [3] Group 3: AI Integration - The marketing approach is undergoing an intelligent upgrade, with Baidu's recent major revision of its search platform and the introduction of AI technologies to enhance service capabilities and operational efficiency [4] - Service providers like Tongling Dianzou are leveraging Baidu's AI capabilities to improve client outcomes, achieving a 30% increase in effective leads for a client [4] - Guojijun is utilizing AI in content marketing, transforming traditional content into video formats, thereby enhancing service offerings and creating higher value [4] Group 4: Ecosystem Development - The emerging service provider ecosystem is showing initial signs of success, with leading players potentially creating a ripple effect in the market [6] - Baidu's long-standing channel foundation, high recognition from agents, and continuous evolution of its marketing capabilities are seen as core advantages for building a robust service ecosystem [6] - Baidu's achievements in AI-driven creative marketing have garnered international recognition, further solidifying its position in the competitive landscape [6]