AI Associate AI Capabilities in CRM Practice Question
A sales manager wants to automatically prioritize leads based on their likelihood to convert. Which Einstein feature should be used?
⚠ Common exam trap
Salesforce often tests the distinction between Einstein Lead Scoring and Einstein Prediction Builder, trapping candidates who think any predictive model builder can be used for lead scoring, when in fact Lead Scoring is a purpose-built feature for that exact use case.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Einstein Lead Scoring
Einstein Lead Scoring is the correct feature because it uses predictive models to automatically rank leads based on their likelihood to convert, enabling the sales manager to prioritize follow-up efforts. It analyzes historical lead data and engagement patterns to assign a score, directly addressing the requirement for automated prioritization without manual rules.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Einstein Prediction Builder
Why it's wrong here
Prediction Builder is for custom predictions, but Lead Scoring is the standard feature.
- ✗
Einstein Relationship Health
Why it's wrong here
Relationship Health measures account health, not lead conversion.
- ✓
Einstein Lead Scoring
Why this is correct
Einstein Lead Scoring prioritizes leads based on conversion likelihood.
- ✗
Einstein Activity Capture
Why it's wrong here
Activity Capture logs communications, not scoring.
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