Important points to remember when analyzing customers

Malaysia Data Forum Connects Experts to Share Knowledge
Post Reply
vihije9334@
Posts: 72
Joined: Tue Dec 03, 2024 4:41 am

Important points to remember when analyzing customers

Post by vihije9334@ »

How to use tools to manage and analyze customer information To conduct customer analysis, you must first collect and manage customer information. Here, we will introduce how to smoothly manage customer information using tools and how to analyze the managed customer information. Collect and store customer information in a database Customer information (customer data) can be divided into quantitative data and qualitative data. Quantitative data is information that can be quantified, and includes customer attribute information and purchasing behavior information.


Qualitative data is information that is difficult to vietnam telegram database quantify, and includes customer feedback, complaints, inquiries made through forms, posts on social media, descriptive survey results, and customer interviews. For online sales, such customer information can be collected from member registration data, order and sales history in the sales management system, access logs, etc. Qualitative data can also be collected by conducting surveys and interviews, as well as by analyzing inquiry history on your company's website and social media posts.


It will be smoother if you can put this collected customer information into a database using a CRM (customer relationship management) system and manage it centrally. In order to analyze and utilize collected customer information, it is essential that the collected information is stored in a database at all times and kept in a state where it can be managed and used at any time. For more information about CRM, please refer to this article: What is a customer management system? Basic knowledge of CRM that you should know Analyze customer information with analytical tools The collected, stored, and managed customer information is analyzed using Excel, customer analysis tools, BI (business intelligence) tools, etc.
Post Reply