To improve lead quality, analyzing historical data on closed leads and conversions provides insights into the characteristics of successful leads. By identifying patterns in leads that converted successfully, Universal Containers can refine their lead scoring criteria and ensure that high-quality leads are prioritized.
* Data-Driven Lead Qualification: Analyzing historical data allows the organization to determine which attributes are associated with high conversion rates, leading to better targeting and qualification processes.
* Continuous Improvement: This approach enables iterative refinement of lead qualification criteria, helping to maintain a focus on leads with a higher probability of conversion.
Option A (using picklists and formula fields) ensures data consistency but does not directly improve lead quality. Option B (creating custom fields for lead scoring) is useful but should be informed by historical data analysis. For more guidance on lead quality improvements, refer to Salesforce's Lead Management Best Practices.