T/NXXH 040-2024 Single store customer relationship management guidelines
T/NXXH 040-2024 Single store customer relationship management guidelines
Basic Information
Scope
Scope: This document stipulates the customer information management methods and customer complaint management methods for single-store customer relationship management. This document is applicable to single-store customer relationship management; Main technical content: 3. Terminology and definitions: There are no terms or definitions requiring definition in this document. 4. Customer information management methods 4.1.1 Dynamic management of customer information: Once customer information is established, ignoring it will render it meaningless. Since customers' situations are subject to change, customer data also needs to be adjusted. Outdated or changed information should be removed, and new information should be added in a timely manner to track customer changes and maintain the dynamic nature of customer management. 4.1.2 Focus on key points: There are many types of customer data. It is necessary to identify key customers (key customers should include not only existing customers but also future or potential customers) through these data, so as to provide reference for single-store to select new customers and develop new markets, and create opportunities for further development of the single-store. 4.1.3 Flexible use of customer data collection and management: The purpose is to apply it in the process of public relations and sales to help relevant personnel better complete their tasks. Therefore, after establishing customer data cards, they must be provided to relevant personnel in a flexible and comprehensive manner in a timely manner, so that they can conduct more detailed analysis, make flexible use of the data, and improve the efficiency of customer management. 4.1.4 Responsible person: Since many customer data are not suitable for disclosure outside the single-store and are only for internal use, the store manager is responsible for managing customer data and strictly controlling the use and borrowing of customer intelligence data. The results of