In today's highly competitive business environment, it is crucial for companies to continuously evolve and improve their customer stratification models in order to stay ahead of the competition. This is particularly true for companies with overseas stores, as they need to understand the unique needs and preferences of customers in different regions in order to effectively target and engage with them. The customer stratification model is a key tool for companies to segment their customer base and tailor their marketing and sales strategies accordingly. By understanding the different needs and behaviors of their customers, companies can better meet their expectations and drive higher levels of customer satisfaction and loyalty. In the context of overseas store systems, the customer stratification model becomes even more important, as it allows companies to effectively target and engage with customers in different regions. This is particularly important as customer preferences and behaviors can vary significantly from one region to another, and a one-size-fits-all approach is unlikely to be effective. In order to continuously evolve and improve the customer stratification model for overseas store systems, companies need to regularly update and refine their CRM systems. This involves collecting and analyzing data on customer behavior, preferences, and purchasing patterns, and using this information to refine the customer segmentation model. One key aspect of this process is the use of advanced analytics and machine learning techniques to identify patterns and trends in customer data. By leveraging these technologies, companies can gain deeper insights into customer behavior and preferences, and use this information to refine their customer stratification model. Another important aspect of evolving the customer stratification model for overseas store systems is the need to take into account cultural and regional differences. This involves understanding the unique needs and preferences of customers in different regions, and tailoring the customer segmentation model accordingly. For example, customers in one region may have a preference for certain types of products or services, or may respond better to certain marketing messages. By understanding these differences and tailoring their approach accordingly, companies can better engage with customers in different regions and drive higher levels of customer satisfaction and loyalty. In conclusion, the continuous evolution and improvement of the customer stratification model for overseas store systems is crucial for companies looking to stay ahead of the competition. By regularly updating and refining their CRM systems, leveraging advanced analytics and machine learning techniques, and taking into account cultural and regional differences, companies can better understand and engage with their customers in different regions, driving higher levels of customer satisfaction and loyalty.