Potential value mining is a crucial aspect of customer relationship management (CRM) in overseas store systems. It involves identifying potential value customers and stratifying them based on their potential value to the business. This process helps businesses to focus their resources on high-value customers and tailor their marketing strategies to meet their specific needs. One method of potential value customer identification in overseas store system CRM is through data analysis. By analyzing customer data such as purchase history, frequency of visits, and average spending, businesses can identify customers who have the potential to bring significant value to the business. This data can also be used to segment customers into different categories based on their potential value, allowing businesses to prioritize their marketing efforts and resources. Another method of potential value customer identification is through customer feedback and interaction. By engaging with customers through surveys, feedback forms, and social media, businesses can gain insights into their preferences, needs, and behaviors. This information can be used to identify high-value customers who are likely to make repeat purchases and become loyal advocates for the brand. Furthermore, businesses can also use predictive analytics to identify potential value customers in overseas store system CRM. By analyzing historical data and using algorithms to predict future customer behavior, businesses can identify customers who are likely to bring significant value to the business. This allows businesses to proactively target these customers with personalized marketing campaigns and offers, increasing the likelihood of conversion and retention. Once potential value customers have been identified, businesses can stratify them based on their potential value to the business. This can be done by creating customer segments such as high-value, medium-value, and low-value customers, based on their purchasing behavior, engagement, and loyalty. By stratifying customers in this way, businesses can tailor their marketing strategies to meet the specific needs and preferences of each segment, maximizing the potential value they bring to the business. In conclusion, potential value mining is a critical aspect of overseas store system CRM. By identifying potential value customers and stratifying them based on their potential value, businesses can focus their resources on high-value customers and tailor their marketing strategies to meet their specific needs. This can lead to increased customer satisfaction, loyalty, and ultimately, business growth. Therefore, businesses should invest in robust data analysis, customer feedback, and predictive analytics to effectively identify and stratify potential value customers in their overseas store system CRM.