与2024年第三季度营运数据相比，总账单超过人民币1,000万元的集团广告客户留存率为94.0%，新增客 户数量224家，客户数量同比提升5.9%。在行业覆盖上，继续拓宽游戏、金融服务、旅行、教育等行 业，显著提升了客户覆盖的广度与多元化程度。 智通财经APP讯，优矩控股(01948)公布，于2025年前9个月，在线营销解决方案业务产生的总账单金额 取得约人民币118.63亿元，较2024年同期增加约35.3%，主要因集团与核心客户的合作更加深入及紧 密，以及积极拓展客户及媒体渠道。 集团自去年底启动海外电商业务的战略佈局，目前已成功在美国、英国、日本等国家落地。截至2025年 9月30日止九个月期间，海外商品交易总额 (GMV)实现人民币4190万元。出海业务的成功拓展，是集团 对全球海外市场的初步业务尝试，将驱动集团长期价值的持续增长，为集团带来全新的发展空间。 1-9月，集团旗下智能素材创製平台 — 优创已完成进一步升级，平台现已涵盖图文智绘、脚本智写、语 音智合及智能混剪等多项关键创意功能。其中，图文智绘功能平均每人每日可生成图片 2000余张;全平 台月均视频产量达32万条，整体效率同比提升161% ...

Group 1 - The company is focusing on the development of its own exclusive IP image and is actively exploring this area [2] - The virtual image "Fudi" was first developed and launched for internal use in June 2023 [2] - The virtual digital image service consultant has been integrated into the company's full-link intelligent marketing platform, FlinkAi, and is currently undergoing continuous improvement [2]

Core Insights - The AI consumer market is experiencing rapid growth, with increasing consumer interest and reliance on AI tools, yet brand applications of AI remain superficial, primarily focused on content production [1][2] - Less than 30% of advertisers utilize AI beyond content production, indicating a significant mismatch between supply and demand in AI advertising [1] - The future of AI marketing lies in transforming AI from a production tool to a decision-making partner that understands user signals and integrates seamlessly into the consumer journey [1][3] Consumer Perspective - Current promotional AI tools have lower conversion efficiency compared to offline experiences and contextual content, necessitating a shift towards becoming "lifestyle consultants" that provide brand value experiences deeply integrated with consumer scenarios [2] - The HarmonyOS ecosystem is positioned to support full-scenario AI marketing, moving from "point marketing" to a "system-native intelligence" era, leveraging user data and application integration [2][4] Brand Strategy - Whale Hong Dynamics aims to be a partner for brands in the AI era, focusing on breaking data barriers, enabling cross-platform advertising, and driving business innovation through data science services and a comprehensive advertising platform [2] - The introduction of the "AI-driven intelligent decision engine - Whale Spirit Agent" aims to create a closed-loop of "insight-production-reach," enhancing marketing intelligence across the entire consumer journey [3] Cross-Scenario Marketing Opportunities - The HarmonyOS facilitates a seamless transition from isolated devices to interconnected systems, enhancing multi-device collaboration and providing a robust foundation for full-scenario AI marketing [4] - Whale Hong Dynamics has developed the "Family Reach" cross-screen marketing solution, effectively mapping HUAWEI ID with Family ID to create a high-quality advertising matrix that connects brands with new middle-class families [4] - The company is also focusing on high-value user segments, such as business travelers, to create immersive brand experiences through intent perception technology, ensuring precise content delivery [4]

Core Insights - The Baize™ system by Shanghai Quzhi Network Technology is revolutionizing intelligent marketing for enterprises through innovative technology architecture in the context of rapid digital economy growth [1] Technology Architecture: Next-Generation Intelligent Engine - The Baize™ system utilizes a Cognitive Computing framework and Neuro-symbolic AI technology, enhancing marketing decision accuracy through Causal Inference algorithms [2] - The system achieves a 98.3% accuracy rate in semantic understanding for specific industry scenarios using Contextual Embeddings and Domain Adaptation methods [2] - A legal tech platform experienced a 4.2 times increase in contract review efficiency and a 72% reduction in manual review workload after implementing the system [2] Data Insights: Intelligent Analysis and Prediction - The system features a Unified Data Fabric and employs Graph Analytics to uncover complex user relationship networks [3] - Temporal Modeling captures dynamic user behavior changes, leading to a 91.5% accuracy in user churn prediction for an online education platform [3] - The Online Learning mechanism allows real-time model optimization, resulting in a 2.8 times increase in content recommendation relevance and an additional 47 minutes of daily user engagement on a social platform [3] Marketing Innovation: Full-Link Intelligence - The Baize™ system creates a Composable Customer Experience platform, enabling seamless cross-touchpoint experiences through Journey Orchestration [5] - Predictive Engagement identifies user needs proactively, offering personalized services [5] - A fashion brand reported a 5.3 times increase in advertising creative output efficiency and a 68% reduction in creative testing cycles after utilizing the system [5] Practical Outcomes: Measurable Business Growth - A multinational manufacturing company saw a 4.8 times increase in sales lead conversion rates and a 42% reduction in sales cycles after deploying the system [5] - The global marketing director of the company noted a shift from passive response to proactive insight due to the Baize™ system [5] Healthcare Sector Impact - A digital healthcare platform improved user health need identification accuracy by 3.6 times and achieved a 94.2% user satisfaction rate through the system's Behavioral Segmentation feature [6] Technical Assurance: Trustworthy AI System - The system is certified under ISO 42001 for AI management and employs Adversarial Training to enhance model robustness [8] - A Privacy by Design approach and Synthetic Data Generation technology expanded model training data volume by 3.5 times for a financial institution while ensuring compliance [8] Future Evolution: Continuous Innovation Path - Shanghai Quzhi Network Technology is advancing research in Neuromorphic Computing and Quantum Machine Learning to prepare for complex marketing scenarios [9] - The Baize™ system aims to become the core engine for enterprise digital transformation, focusing on creating a more intelligent, adaptive, and trustworthy marketing technology platform [9]

Core Insights - The company won a gold and bronze award at the 2025 Modern Advertising Awards for its Apple Ads case studies, showcasing its strategic partnership with Alibaba Cloud and recognition from companies like NetEase Games and 58.com [1] - The company's intelligent marketing system is built on vast data resources, processing trillions of user behavior data daily, which forms a data asset of billions, enabling precise marketing strategies [1][2] Group 1: Awards and Recognition - The company received a gold award for its project with NetEase Games and a bronze award for its project with 58.com at the 2025 Modern Advertising Awards [1] - The awards highlight the company's capabilities in managing advertising costs and expanding traffic in competitive environments [1] Group 2: Intelligent Marketing System - The company’s intelligent marketing system leverages extensive data (603138) to enhance advertising efficiency and control customer acquisition costs [1] - The platform processes vast amounts of user behavior data, creating a comprehensive data asset that supports targeted marketing efforts [1] Group 3: AI Technology Integration - The integration of Alibaba's AI model has significantly enhanced the company's advertising platform, enabling automated and precise ad placements [2] - The platform features ROI prediction, real-time bidding, and dynamic budget adjustment models, optimizing advertising strategies based on real-time data [2] Group 4: Revenue Growth Projections - The company experienced over 400% revenue growth in overseas markets in the first half of 2025, with expectations for continued acceleration in the second half [2] - The company aims for a 50% increase in global revenue for 2025, targeting a revenue goal of 4 billion yuan [2]

Core Transformation: AI Reshaping Brand Customer Acquisition Logic - Traditional marketing relied on the AIDA model and a "traffic thinking" approach, focusing on broad coverage and high exposure, but AI enables a shift to "value-driven, precise reach, and deep interaction" [2] - The transition involves four dimensions: from "traffic thinking" to "user value thinking," from "mass communication" to "hyper-personalized communication," from "post-analysis" to "predictive analysis," and from "labor-intensive" to "technology-driven" [2][3][4][5] Five Core Trends Driven by AI in Brand Customer Acquisition - Trend One: Intelligent orchestration of the customer journey through data integration and automation tools, creating a seamless user experience [6][8] - Trend Two: Generative AI enhances content marketing efficiency by enabling scalable production and dynamic optimization of marketing materials [9][10] - Trend Three: Conversational AI upgrades interactive customer acquisition by transforming passive inquiries into proactive need identification [11] - Trend Four: Predictive analytics allows brands to transition from blind outreach to precise targeting by identifying high-value users and conversion opportunities [12] - Trend Five: AI-driven search engine customer acquisition requires brands to adapt SEO strategies to leverage AI tools for capturing search traffic [13] Practical Framework: Building an AI-Driven Intelligent Customer Acquisition System - Step One: Establish a solid data foundation by integrating diverse data sources into a Customer Data Platform (CDP) to ensure high-quality data [14] - Step Two: Select and integrate technology that matches business needs, ensuring compatibility among tools to prevent data silos [15] - Step Three: Focus on strategy and creativity by defining the division of labor between AI execution and human strategic input [16] - Step Four: Create a testing and iteration loop to continuously optimize strategies based on user data and feedback [17][18][19] - Step Five: Evolve measurement metrics to focus on long-term value indicators, such as customer lifetime value (LTV) and marketing contribution revenue [20][21] Current Challenges and Future Outlook - Brands face challenges in data privacy compliance, algorithm bias, and the need for skill transformation within teams to effectively utilize AI tools [22][24] - Future developments may see AI evolve from a tool to an autonomous decision-making entity, capable of setting acquisition goals and executing strategies in real-time [25]

Core Insights - TikTok for Business hosted the "2025SHOPNOW Brand E-commerce Overseas Marketing Summit" to help brands leverage growth opportunities presented by the platform [1] - The summit emphasized strategies such as expanding themes, audiences, channels, and markets to drive sustained business growth [1][2] - TikTok for Business has developed a comprehensive marketing product matrix that supports both closed-loop e-commerce and independent site models, facilitating global business expansion for merchants [1] Marketing Strategies - The ACC marketing funnel model enhances marketing efficiency by accurately identifying users and delivering multi-layered content [2] - Five core strategies were proposed for driving overseas business growth, including expanding themes through live broadcasts, coordinating product effectiveness with audience expansion, and entering new markets [2][3] - Merchants are encouraged to quickly enter new markets during their initial phases to capture business opportunities and overcome growth limitations in single markets [2] Brand Experiences - Brands like Colorkey, TECNO, and Xingmian shared practical experiences on converting traffic into business and achieving sustained growth during a roundtable forum [2][3] - Successful overseas expansion requires localized adaptation of products and marketing strategies to cater to the differences in consumer demographics between domestic and international markets [3] - The summit provided a resource matching area focused on key new markets, offering merchants one-stop service consultations to efficiently expand their global resource networks [3]

Core Insights - The core focus of the news is on the advancements and practical outcomes of the Data Agent in the field of intelligent marketing, highlighting its ability to simplify operations and enhance decision-making through natural language interaction [1][2]. Group 1: Product Features and Benefits - Data Agent significantly reduces the technical usage barrier by allowing users to generate detailed data analysis reports or obtain relevant knowledge with a simple sentence input [1]. - The implementation of Data Agent has drastically shortened the onboarding period for new customer service employees from one month to seven days, achieving service levels comparable to silver or gold standard representatives [1]. - The system enhances decision-making efficiency by automatically generating visual reports and analytical conclusions based on natural language descriptions of user needs [2]. Group 2: Data Integration and User Profiling - Data Agent's core data foundation is built on three pillars: customer data platform (VeCDP) managing attribute data, internal business knowledge data, and third-party public data from social media and e-commerce platforms [2]. - The system can create comprehensive customer profiles that surpass traditional simple tagging capabilities by integrating structured and unstructured data to accurately identify consumer behavior characteristics [2]. Group 3: Application Scenarios and Performance Metrics - Data Agent demonstrates four key value scenarios, including rapid analysis of vast data sets to generate deep insight reports and reducing average communication rounds from seven to two or three, achieving a 200% efficiency improvement [2]. - The "one customer, one strategy" engine enhances user targeting, resulting in over 30% increase in click-through rates and an 80% improvement in return on investment (ROI) [2]. Group 4: Technical Architecture and Future Development - The technical architecture of Data Agent is designed to decouple from large model bases, ensuring the system benefits from large models, small models, and engineering applications [3]. - This design allows Data Agent to evolve with advancements in large model technology while maintaining business safety and accuracy [3]. - Future developments aim to position Data Agent as a "strategic advisor" capable of long-term trend forecasting and complex scenario simulations [3]. Group 5: Industry Impact - Data Agent's intelligent marketing capabilities have been successfully implemented across various industries, including automotive and financial advisory sectors, enhancing user interaction and market analysis efficiency [3]. - The transition from broad marketing strategies to refined individual operations is being driven by Data Agent's data integration and intelligent mining capabilities [3].

Group 1 - Tianyang Technology (300872) has taken its first step towards internationalization in the Hong Kong market with its product, Magic Number Intelligence [1] - The company plans to collaborate with a financial partner to expand into Southeast Asia and the Middle East markets [1] - Tianyang Technology aims to integrate its modeling capabilities into credit and payment solutions, leveraging its customer resources to provide solutions and services in intelligent risk control and intelligent marketing for clients in the banking and financial sectors [1]

Group 1 - The core viewpoint emphasizes the accelerated integration of artificial intelligence (AI) with various industries, shifting from quantity to quality, and raising demands for efficient infrastructure and high-quality data acquisition [1][2] - The Chinese government is promoting the integration of technological innovation and industrial innovation to drive high-quality development of the real economy, highlighting the importance of applying technological achievements to foster industrial innovation [2][3] - AI is seen as a key driver for the transformation of industries and the construction of a modern industrial system in China, facilitating the shift towards intelligent and integrated development [2][3] Group 2 - The market has high expectations for AI development, which presents vast opportunities for industrial applications, necessitating policy support and data sharing across the AI industry chain [3] - Companies are increasingly focusing on intelligent marketing applications, leveraging AI to address the complexities of traditional marketing methods and improve efficiency in customer acquisition and service [4] - Financial institutions are actively building digital ecosystems to support the digital transformation of industries, integrating traditional financial services with emerging technologies to meet evolving market demands [5][6]