### Q1: What are the basic factors that AI algorithms consider when evaluating leads?  
### Q2: How can you use machine learning techniques to improve the accuracy of lead scoring in your sales process?  
### Q3: Describe a scenario where AI might adjust its scoring criteria based on new data.  

### Q4: How does the segmented approach to lead prioritization enhance the relevance of sales efforts?  
### Q5: What are the advantages of using time-based prioritization in lead scoring?  
### Q6: Explain how combining multiple prioritization techniques can yield better results in lead management.  

### Q7: What key features does HubSpot offer for lead scoring that can aid your sales team?  
### Q8: How does Salesforce Einstein utilize AI to improve lead scoring outcomes?  
### Q9: In what ways can automation in lead scoring impact the efficiency of your sales team?