Which business requirement presents a good use case for leveraging Einstein Prompt Builder?
A. Forecast future sales trends based on historical data.
B. Identify potential high-value leads for targeted marketing campaigns.
C. Send reply to a request for proposal via a personalized email.
C. Send reply to a request for proposal via a personalized email.
Explanation:
Einstein Prompt Builder is designed to generate dynamic, context-aware content by grounding prompts in CRM data. Here’s why option C is the best fit:
Personalized Email Responses
Prompt Builder can:
Draft tailored RFP replies using merge fields (e.g., {{Opportunity.Name}}, {{Account.Industry}}).
Pull in product details or pricing terms from related records.
Ensure consistency and save time for sales teams.
Why Not the Other Options?
A. "Forecast future sales trends":
This requires predictive analytics (e.g., Einstein Forecasting), not prompt-based generation.
B. "Identify high-value leads":
This is a lead scoring task (e.g., Einstein Lead Scoring), not a prompt use case.
Implementation Example:
Create a prompt template like:
"Draft a response to {{Contact.Name}}’s RFP for {{Opportunity.Product_Type__c}}, highlighting our {{Solution.Benefits__c}}."
Output a polished, data-grounded email for reps to review.