Creating Segments from Prediction Scores
A marketing team wants to send personalized email campaigns based on customer lifetime value (CLV) scores. They have already built a CLV prediction model in Customer Insights. What is the next step to use these scores in a marketing campaign?
Quick Answer
The correct answer is to create a segment based on the CLV prediction in Customer Insights. This is because prediction scores, such as customer lifetime value, are stored as data entities within Dynamics 365 Customer Insights, and segments act as the essential bridge that filters customers by those scores for use in marketing campaigns. Without first building a segment, the raw prediction data cannot be directly targeted in a marketing journey or email campaign. On the MB-910 exam, this question tests your understanding of the data flow between Customer Insights and Dynamics 365 Marketing, often appearing as a scenario where you must choose the logical next step after a model is built. A common trap is selecting an option to export the scores immediately, but the platform requires segmentation as an intermediate step to apply the scores. Memory tip: think of segments as the “filter funnel” that turns raw prediction numbers into actionable audience lists.
⚠ Common exam trap
Candidates often assume predictions can be used directly in journeys (Option B) because they see 'AI' and 'Marketing' together, but Microsoft requires an explicit segmentation step to ensure data governance and performance.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a segment based on the CLV prediction in Customer Insights
In Dynamics 365 Customer Insights, predictions like CLV are stored as data entities. To use them in a marketing campaign, you must first create a segment that filters customers based on the CLV prediction score. This segment can then be exported or used directly in Dynamics 365 Marketing journeys. Option A is correct because segments are the bridge between Customer Insights data and Marketing campaign targeting.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a segment based on the CLV prediction in Customer Insights
Why this is correct
Correct: Creating a segment from the prediction allows you to target customers in Marketing.
- ✗
Use the prediction directly in a Marketing journey
Why it's wrong here
Wrong: Predictions cannot be used directly; a segment is required.
- ✗
Use Power BI to visualize the CLV scores
Why it's wrong here
Wrong: Visualization does not enable campaign targeting.
- ✗
Export the CLV scores to Excel and import into Dynamics 365 Marketing
Why it's wrong here
Wrong: This is inefficient and not the recommended approach.
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Same concept, more angles
2 more ways this is tested on MB-910
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company uses Dynamics 365 Customer Insights - Journeys to automate email marketing. They want to send a birthday offer email to contacts on their birthday. Which TWO components are required to achieve this? (Choose two.)
medium- ✓ A.A trigger that fires when the contact's birthday equals today's date
- B.A compliance profile
- ✓ C.A dynamic segment that includes contacts with birthday today
- D.A static segment of all contacts
- E.A condition to check if the contact has consented
Why A: A trigger in Dynamics 365 Customer Insights - Journeys defines the event that starts the journey. For a birthday offer, the trigger must fire when the contact's birthday equals today's date, initiating the email send. This is a time-based trigger that evaluates the contact's date of birth field against the current date.
Variation 2. A marketing team notices that a segment based on 'high-value customers' returns fewer records than expected. The segment criteria include 'Total Purchase Amount > $500' and 'Last Purchase Date within 90 days'. The data source is updated nightly. What is the most likely cause?
hard- ✓ A.The segment was not refreshed after data update
- B.The data source credentials are expired
- C.The segment includes too many conditions
- D.The customer profiles are not unified
Why A: The segment criteria are evaluated against the data at the time the segment is created or last refreshed. Since the data source updates nightly, the segment must be manually or automatically refreshed to incorporate the new data. If the segment was not refreshed after the nightly update, it would still reflect the older, smaller dataset, resulting in fewer records than expected.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MB-910 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MB-910 exam.