Core Insights - The iPX 2025 China Outbound Marketing Summit, hosted by impact.com, gathered over 600 industry representatives to discuss the transformation driven by AI technology and the new global market landscape for Chinese brands [1] - Jennifer Zhang, Managing Director of impact.com Greater China, emphasized that partnerships are the underlying logic driving the transformation of Chinese brands, moving away from traditional customer acquisition models towards partnership marketing [1][3] - The shift towards partnership marketing is particularly effective for engaging Generation Z and emerging consumer groups, establishing brand trust through community and creator-driven strategies [1] Group 1 - AI advancements, such as those from DeepSeek and the widespread application of generative AI tools like ChatGPT, are pushing marketing into the AI era, complicating market competition and diversifying consumer demands [3] - SAP's CRM expert highlighted that AI-supported user operations and DTC transformation can help brands shift from a transaction-centric model to a user interaction model, enhancing customer lifetime value [3] Group 2 - impact.com is upgrading its products to enhance partnership marketing efficiency, focusing on four key areas that leverage AI and automation [3][5] - The platform has undergone a complete front-end redesign for improved user experience, introduced an AI-powered assistant "Ask Impact" for partner recommendations and insights, and implemented an intelligent agent framework to automate repetitive tasks [5] - The launch of the "Product Boost" retail media solution allows brands to incentivize specific product promotions through partnerships, creating new growth channels [5] Group 3 - Participants at the summit stressed that Chinese brands are in a critical transition from "Made in China" to "Created in China," needing to shed low-cost labels and rely on product innovation, design, and quality to reshape their international image [7] - To penetrate mature markets like the U.S., companies must build multi-touchpoint partnership matrices and focus on localized communication to integrate into local cultural contexts [7]

Core Insights - The article highlights the significant issue of customer attrition in physical stores, with retention rates generally below 30% for traditional retailers, indicating a critical challenge for long-term sustainability [1] - The introduction of the AI-driven marketing tool, Kaidan Guo, has shown to improve customer retention rates to over 60% in stores utilizing its services, demonstrating its effectiveness in addressing customer loss [1][2] Group 1: Customer Retention Challenges - Physical stores are experiencing severe customer loss, attributed to changing consumer habits and inadequate operational capabilities [1] - Traditional retail stores have a customer retention rate of less than 30%, meaning fewer than 30 out of 100 customers return [1] Group 2: Kaidan Guo's Impact - Kaidan Guo has established a complete cycle of "Customer Acquisition - Interaction - Retention - Repurchase," which is crucial for improving customer retention [1] - The tool's precise customer acquisition and short video marketing features help stores reach potential customers beyond geographical limitations, moving away from a passive approach [1] Group 3: Interaction and Personalization - The AI business opportunity push feature enhances communication between staff and customers, making interactions more relevant and reducing ineffective sales pitches [1] - The CRM system plays a vital role in the retention phase by tracking customer behavior and providing personalized services, such as remembering important dates for customers [2] Group 4: Automation in Repurchase - Automated operational systems maintain contact with customers through regular promotions and event notifications, encouraging repeat purchases [2] - The comprehensive system provided by Kaidan Guo equips physical stores with the necessary tools to combat customer attrition effectively, thus supporting performance improvement in a competitive market [2]