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