Salesforce Exam Salesforce AI Specialist Topic 3 Question 7 Discussion

Actual exam question for Salesforce's Salesforce AI Specialist exam

Question #: 7
Topic #: 3

[All Salesforce AI Specialist Questions]

Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.

Which use case works for this scenario?

APredict customer sentiment toward a promotion message.

BPredict customer lifetime value of an account.

CPredict most popular products from new product catalog.

Show Suggested Answer

Suggested Answer: B

For improving sales operations efficiency, Einstein Studio is ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predicting customer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions. Customer lifetime value (CLV) predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.

Option B is the correct choice as predicting customer lifetime value is a well-established use case for AI in sales.

Option A (customer sentiment) is typically handled through NLP models, while Option C (product popularity) is more of a marketing analysis use case.

Salesforce Einstein Studio Use Case Overview: https://help.salesforce.com/s/articleView?id=sf.einstein_studio_overview

by Alesia at Nov 16, 2024, 01:44 PM

Limited Time Offer

25%

Off

Get Premium Salesforce AI Specialist Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Lewis

4 months ago

Predicting customer lifetime value is the way to go. Gotta keep your cash cows happy, am I right?

upvoted 0 times

Elza

2 months ago

C) Predict most popular products from new product catalog.

upvoted 0 times

...

Glory

2 months ago

Predicting customer lifetime value is the way to go. Gotta keep your cash cows happy, am I right?

upvoted 0 times

...

Suzi

3 months ago

B) Predict customer lifetime value of an account.

upvoted 0 times

...

Lashawnda

3 months ago

A) Predict customer sentiment toward a promotion message.

upvoted 0 times

...

Herminia

4 months ago

I'm just hoping the AI doesn't get too 'smart' and start making all the sales calls itself. Then where would we sales reps be?

upvoted 0 times

...

Matthew

4 months ago

The most popular products from a new catalog seems like a no-brainer. I bet the sales team would love to know what's going to sell best upfront!

upvoted 0 times

Makeda

3 months ago

B) Predict customer lifetime value of an account.

upvoted 0 times

...

Izetta

3 months ago

A) Predict customer sentiment toward a promotion message.

upvoted 0 times

...

Buddy

4 months ago

Predicting customer sentiment towards a promotion message could be insightful, but I'm not sure that directly addresses the goal of improving sales operation efficiency.

upvoted 0 times

Ayesha

3 months ago

I agree, predicting customer lifetime value of an account would be more beneficial for improving sales operation efficiency.

upvoted 0 times

...

Gail

3 months ago

C) Predict most popular products from new product catalog.

upvoted 0 times

...

Lucille

3 months ago

B) Predict customer lifetime value of an account.

upvoted 0 times

...

Alberta

4 months ago

A) Predict customer sentiment toward a promotion message.

upvoted 0 times

...

Dominque

5 months ago

I think option A could also be useful to understand customer sentiment and tailor promotions accordingly.

upvoted 0 times

...

Ocie

5 months ago

I think predicting customer lifetime value would be the most useful for improving sales efficiency. Knowing which customers are most valuable can help target resources and improve retention.

upvoted 0 times