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?
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 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?
The marketing team wants to create a segment for a new email campaign to invite customers to a series of in-store events.
What should you do first?
You work for a chain of hotels, and you have created a data source catted Preference System to ingest consent data in Dynamics 365 Customer Insights in an table called Consents. The Consents table has the following attributes and data types:
You are creating a segment to email information on upcoming events to customers who live in the state of California and whose Average number of nights stayed value is greater than four.
You have already configured the first rule in the segment as follows:
Rule 1 uses and
Customer: Customer Insights.' All records
and
Customer: CustomerInsightsState is equal to California
and
Customer_Measure: Customerlnsights.Average number of nights stayed is greater than 4 You need to configure the second rule in the segment according to your customers' consent preferences. This rule will be joined to the first rule with a union operator Which attribute name or attribute value corresponds to each empty parameter? To answer, drag the appropriate attenuate name or attribute value to the correct empty parameters in the answer area. Each attribute name or attenuate value may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
You are configuring data unification for a new Microsoft Dynamics 365 Customer Insights implementation.
Individual consumers are the primary target audience.
You define several match rules that include address data and other personal identifiers. These match rules did not perform as well as expected in your first unification run.
You need to improve the match results before your marketing team starts using the system.
Which two data enrichments should you consider implementing to improve the match results? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
