AI Associate AI Fundamentals Practice Question
A marketing team wants to use Einstein Engagement Scoring to prioritize leads. What is the primary input for this AI feature?
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
✓
Lead interaction history with emails and web activity.
Einstein Engagement Scoring analyzes lead interactions (email opens, clicks, web visits) to calculate engagement scores. Option A is correct. Option B is wrong because demographic data is not the primary input. Option C is wrong because historical conversion data is used for predictive scoring, not engagement. Option D is wrong because social media data is not a direct input.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Lead interaction history with emails and web activity.
Why this is correct
Engagement is measured by interactions.
- ✗
Historical conversion data from closed opportunities.
Why it's wrong here
That is used for lead scoring, not engagement.
- ✗
Lead demographic information like industry and company size.
Why it's wrong here
Demographics are not the primary input.
- ✗
Social media posts and mentions of the company.
Why it's wrong here
Social media is not part of Einstein Engagement Scoring.
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