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Adobe Customer Journey Analytics Business Practitioner Professional Sample Questions:

1. Your team needs a report on customers who made more than three purchases in the last 60 days. After creating a segment, you notice that the results are inaccurate. Upon investigation, you find that the purchase event filter is set incorrectly. What should you do to fix the issue?
Response:

A) Enable metric filters based on "Order Value."
B) Update the segment timeframe to the last 90 days.
C) Use a calculated metric to count unique orders.
D) Adjust the purchase event filter to include only "Order Completed" events.

2. Which steps should be taken to ensure that customer journey analysis results are accurate in Adobe CJA?
(Select two.)
Response:

A) Use Predefined Data Views
B) Apply Data Retention Rules
C) Validate Profile Permissions
D) Enable Identity Resolution

3. A marketer is trying to understand if a particular campaign was successfully converting first-time users or return users. Assume someone qualifies as a first-time user as long as it's the first session within the reporting window.
Which component could be used to support differentiating first time users from return users within a given reporting window?
Response:

A) New session Metric
B) Session type Dimension
C) Return user Dimension
D) Sessions starts Metric

4. Your marketing team wants a report on high-value customers segmented by total purchase amount. After reviewing the report, you notice that some high-value customers are missing. What should you check first?
Response:

A) Recreate the customer segment manually.
B) Update the data source permission settings.
C) Ensure the metric filter for purchase value is correctly set.
D) Adjust the date range for the dataset.

5. You must analyze the impact of marketing email engagement on order value, using one dataset containing email click data and another dataset containing order value. Both datasets record the relevant person ID for each event. You choose a metric attribution model for order value that allows you to relate email activity to subsequent order value.
This is the table created to report email name, clicks, and order value.

What is a valid insight gained about the impact of marketing email engagement on order value? Response:

A) Email 4 was the last email clicked before orders totalling $54.3 million.
B) Email 5 is attributed $38.4 million in order value during the attribution window.
C) Email 2 generated the highest click-to-order ratio.
D) Email 3 had the greatest average attributed order value per email click.

Solutions: