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Listening Quiz: Làm Việc Cùng Đội Bán Hàng Về Mô Hình Chấm Điểm Khách Hàng Tiềm Năng – Advanced Level
Th9 11, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of the conversation?
Why sales teams should avoid using data when evaluating leads
How Paul and Jessica can build and test a lead scoring model with help from the sales team
How Jessica plans to replace the sales team with an automated system
Ways to increase lead sources without involving any feedback from sales
Explanation:
Paul and Jessica discuss building a lead scoring model, using sales input, testing it, and training sales to use the scores.
2.
What will Sales help Paul and Jessica determine about past leads?
Which leads should be ignored because they are new
Which leads came from social media only
Which employees should manage the model
Which leads converted
Explanation:
Paul says, “Sales can tell us which leads converted.”
3.
Which factors do Paul and Jessica mention as examples of what may influence sales?
Age and education level
Advertising budget and shipping cost
Office location and job title
Lead source and engagement level
Explanation:
Jessica says they should identify key factors, and Paul gives examples: lead source and engagement level.
4.
Why do Paul and Jessica want to schedule regular meetings with the sales team?
To keep the model accurate through ongoing communication
To avoid gathering data on past leads
To stop sales from giving feedback
To replace the need for testing the model
Explanation:
Jessica says regular meetings are needed, and Paul adds that constant communication will keep the model accurate.
5.
What will Paul and Jessica most likely do after gathering data and identifying key factors?
Remove the sales team from the process
Create a scoring system
Stop working until sales approves every lead
Train sales before any model is built
Explanation:
Jessica says, “Once we have data, we can create a scoring system.”
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