1. Classify the customer data area
Each customer is marked with one or more labels. Here, we should pay attention to the standardization of manual classification, the integrity and rationality of the label system design, and the manual classification.
2. Focus on customer behavior
For example, what keywords did the customer look up on the website, how long did they stay, the path they visited, what videos they watched, and what products they learned. Here, operators should make statistical analysis on customer behaviors and make operation plans for various behaviors. All customer labels cannot be generalized.
The customs data system covers 180 countries' procurement records
3. Digital operation of customers with customs data
Through the customs data system, you can easily establish your own global purchaser base, and quickly screen out qualified purchasers according to the position of your industry. The screening criteria here are very important, such as whether buyers often import goods from China, whether their suppliers are diversified rather than just a few fixed suppliers. After screening the list of qualified purchasers with customs data, analyze their purchasing rules one by one through the customs data query system, and label them with various labels. Next, we will adopt different communication strategies for customers with various labels to achieve cooperation.