### Q1: What is the BANT method, and how can it be applied to evaluate leads?  
### Q2: How can monitoring the frequency of lead interactions provide insights into their likelihood of conversion?  
### Q3: What are some potential challenges you might face when implementing AI-based lead scoring tools like Salesforce’s Einstein?  
### Q4: How does the AIDA model assist in determining which leads to prioritize based on their stage in the sales funnel?  
### Q5: What role does demographic information play in assessing the fit of a lead within your target market?  
### Q6: How can predictive analytics enhance lead prioritization in a sales strategy?  
### Q7: How can you effectively communicate the benefits of using AI-based tools to your sales team?  
### Q8: What strategies can you employ to ensure that your sales team understands the importance of lead engagement levels?  
### Q9: How would you present the findings from lead scoring data to stakeholders to gain their support for your sales initiatives?