In today's competitive business environment, providing personalized services to customers has become a key strategy for overseas store systems. Customer Relationship Management (CRM) data analysis plays a crucial role in understanding customer behavior and preferences, which can be used to guide the service personalization process. However, to truly understand customer needs and expectations, it is essential to incorporate customer experience data analysis into the CRM system. Customer experience data analysis involves collecting and analyzing data from various touchpoints in the customer journey, such as interactions with the website, social media, customer service, and in-store experiences. By integrating this data with CRM data, overseas store systems can gain a comprehensive understanding of customer preferences, pain points, and satisfaction levels. This, in turn, can guide the personalization of services to meet individual customer needs. To effectively guide the service personalization process through customer experience data analysis, overseas store systems can follow these steps: 1. Data Collection: Collecting customer experience data from various touchpoints is the first step. This can include customer feedback, reviews, social media interactions, website analytics, and customer service interactions. CRM data should also be integrated into the analysis to provide a complete view of the customer. 2. Data Analysis: Once the data is collected, it needs to be analyzed to identify patterns, trends, and insights. This can be done using data analysis tools and techniques to uncover valuable information about customer preferences, behavior, and satisfaction levels. 3. Segmentation: After analyzing the data, customers can be segmented based on their preferences, behavior, and satisfaction levels. This segmentation can help in identifying specific customer groups that require personalized services. 4. Personalization Strategy: Based on the segmentation, overseas store systems can develop a personalized service strategy for each customer segment. This can include personalized recommendations, targeted promotions, and tailored communication to meet individual customer needs. 5. Implementation and Monitoring: Once the personalization strategy is developed, it needs to be implemented across all touchpoints. Customer feedback and interactions should be continuously monitored to assess the effectiveness of the personalized services and make necessary adjustments. By following these steps, overseas store systems can effectively guide the service personalization process through customer experience data analysis. This approach can help in creating a more personalized and satisfying experience for customers, leading to increased loyalty and retention. Additionally, it can also provide valuable insights for product development and marketing strategies. Overall, integrating customer experience data analysis with CRM data can be a powerful tool for guiding the service personalization process and gaining a competitive edge in the market.