1. Greetings and introduction
-Hello, I'm a sales consultant of Ping An Insurance. My name is xxx.
-I'm glad to have the opportunity to interview you to understand your insurance needs and provide you with professional advice.
2. Establish interaction to understand customer needs.
-What do you know about insurance? Have you ever bought insurance?
Are you interested in some types of insurance? Such as life insurance, medical insurance and auto insurance.
-What is your biggest concern when buying insurance?
3. Product introduction and recommendation
-Introduce relevant products of Ping An Insurance according to customers' needs and concerns.
-Recommend an appropriate insurance package or plan according to the specific situation of customers.
4. Answer customers' questions and provide suggestions.
-Customers may have many questions about effective conditions, insurance coverage, premium, claim settlement process, etc.
-Actively answer customers' questions and provide professional advice according to customers' needs.
5. Compare and discuss different products
-If customers are interested in multiple insurance products, help customers compare the advantages and disadvantages of different products.
-Vividly show the characteristics of different products through examples or charts.
6. Follow-up and support
-Confirm whether the customer has more questions or needs more materials.
-Provide personal contact information and inform customers that they can contact you at any time for further consultation or purchase.
It should be noted that the script of sales interview should be flexible and can be adjusted and improved according to the needs and feedback of customers. At the same time, the script should not only be a mechanical question-and-answer procedure, but also pay attention to the interaction and communication with customers and establish a good relationship of mutual trust. Most importantly, as a sales consultant, you should be familiar with the products you sell, understand the characteristics and advantages of the products, and make personalized recommendations and explanations according to the needs of customers.