Multi-dimensional customer stratification practice: Exploration of customer stratification strategies for overseas store system CRM Customer stratification is a crucial practice for businesses to effectively manage their customer base and tailor their marketing strategies to different customer segments. In the context of overseas store systems, customer stratification becomes even more complex due to the diverse cultural, economic, and social backgrounds of customers. This article aims to explore the various customer stratification strategies that can be implemented in overseas store system CRM to better understand and cater to the needs of different customer segments. One of the key aspects of multi-dimensional customer stratification is the use of various data points to categorize customers into different segments. This can include demographic information, purchase history, online behavior, and customer feedback. By analyzing these data points, businesses can gain insights into the preferences and behaviors of different customer segments, allowing them to tailor their marketing efforts accordingly. Another important aspect of multi-dimensional customer stratification is the use of advanced analytics and machine learning algorithms to identify patterns and trends within the customer data. This can help businesses to predict customer behavior and preferences, allowing them to proactively address the needs of different customer segments. In the context of overseas store systems, cultural and language differences also play a significant role in customer stratification. Businesses need to consider these factors when categorizing customers into different segments and tailor their marketing messages and promotions accordingly. For example, a customer segment in a predominantly Spanish-speaking country may have different preferences and behaviors compared to a segment in an English-speaking country. Furthermore, businesses need to consider the economic and social differences between different customer segments in overseas store systems. For example, customers in developing countries may have different purchasing power and preferences compared to customers in developed countries. By taking these factors into account, businesses can develop more targeted marketing strategies that resonate with different customer segments. In conclusion, multi-dimensional customer stratification is a crucial practice for overseas store system CRM. By leveraging various data points, advanced analytics, and considering cultural, economic, and social differences, businesses can effectively categorize customers into different segments and tailor their marketing efforts to meet the needs of each segment. This can ultimately lead to improved customer satisfaction, loyalty, and business performance in overseas store systems.