A company uses leads and opportunities to track potential sales. Salespeople have a difficult time determining prioritizing opportunities. You need to ensure opportunities are categorized to ensure…

Question

Options

• ASales forecast
• BBased on the scores, you can predict that Opportunity A has a greater chance of being
• CPredictive opportunity scoring
• DKanban view

• A
  5% (2)
• B
  3% (1)
• C
  76% (28)
• D
  16% (6)

Explanation

Predictive opportunity scoring Predictive opportunity scoring uses a predictive machine learning model to calculate a score for open opportunities based on historical data. The score helps sellers prioritize opportunities and achieve higher opportunity won rates, and reduces the time it takes to win an opportunity. For example, say you have two opportunities, Opportunity A and Opportunity B, in your pipeline. The opportunity scoring model calculates a score of 80 for Opportunity A and 50 for Opportunity converted into a won deal. Further, you can review the top influencing factors to analyze why Opportunity B's score is low and decide whether to improve it. https://learn.microsoft.com/en-us/dynamics365/sales/configure-predictive-opportunity-scoring

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