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]