Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You are responsible for creating segments for your company's marketing team using Microsoft Dynamics 365 Customer Insights.
Your Chief Marketing Officer (CMO) wants to run a re-engagement campaign for customers that have a high probability of no longer purchasing your organizations products in the next three months.
The CMO asks you to use Dynamics 365 Customer Insights to generate a segment of customers that would meet this requirement.
Solution:
1. Generate a Transactional churn prediction for the next three months.
2. On the results page, review the model results to identify the characteristics of the highest "Likelihood to churn" group.
3. Create a segment from the results page using the ChurnScore field and a Greater than operator for the lower bounds value of the group you identified.
Does this meet the goal?
Your company wants to create a segment to identify the customers who are more likely to purchase the three most-recommended products from the out-of-the-box product recommendations model.
Before defining this segment, you need to first configure and run the product recommendations model.
Which point should you consider when configuring the product recommendation model?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are implementing Microsoft Dynamics 365 Customer Insights as your company's Customer Data Platform.
The initial dataset tables contain contacts from Dynamics 365 Sales. eCommerce customers, and service management platform incidents.
In your first unification run, you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts.
You need to ensure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights.
Solution: Adjust the first condition in the matching rule with the lowest precision.
Does this meet the goal?
Your organizations IT team created the customer profile records by unifying the Account, Contact, and Web Account tables. After unification was completed, the team noticed that three relationships were created automatically.
1. CustomerToContact
2. CustomerToAccount
3. CustomerToWebAccount
You need to advise the team about how they can configure and update these three relationships.
What should you recommend?
The loyalty operations lead at your organization wants a filter to be added on the attribute Loyalty Tiers, which is available on Customer profiles in your Dynamics 365 Customer Insights environment.
The Loyalty hers, in order of increasing loyalty status, are: Non-member, Bronze, Silver, Gold, Platinum.
Most customers are in the lowest tier of the program, non-member, and then progressive^ fewer customers are in each subsequent tier.
You need to create a filter to sort the options as closely as possible to increasing loyalty status.
What should you select for Sort options by in the filter pane?
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