A bank client wants to understand usage of their mobile website by geographical region. The analytics team is tasked with creating segments to provide this data.
Why would the analytics team decide to use segment stacking in the Segment Builder?
Segment stacking is a feature that allows you to combine multiple segments into one by using containers within containers. It provides the ability to consolidate more granular segments into one combined segment, which can help simplify complex segment logic or reuse existing segments. It does not break a consolidated segment down into multiple granular segments, nor does it bypass the limit on the number of segments per report.
References: https://experienceleague.adobe.com/docs/analytics/components/segments/segment-stacking.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/segments/segment-stacking.html?lang=en#segment-stacking-overview
Two single condition Segments are set up for creating a Virtual Report Suite. Both Segments are visit scoped and have the following rule using default Dimensions:
Segment A: Marketing Channel equals 'Social Networks' Segment B: Countries equals 'United Kingdom'
Which data subset of the source Report Suite will be available when using this Virtual Report Suite?
The data subset of the source report suite that will be available when using this virtual report suite is visit data for visits coming from a Social Network AND from the United Kingdom. This is because when two single condition segments are set up for creating a virtual report suite, they are combined with an AND logic. This means that only the visits that match both segments will be included in the virtual report suite.
References: https://experienceleague.adobe.com/docs/analytics/components/virtual-report-suites/vrs-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/virtual-report-suites/vrs-overview.html?lang=en#creating-a-virtual-report-suite
The Chief Marketing Officer has established a monthly revenue target for an online store and wants to see how revenue for the current month is tracking towards that goal.
Which Visualization should be used for this report?
A Bullet Visualization is a tool that shows how a metric is performing against a target or goal. It can help monitor progress and identify gaps or opportunities. It can also show additional information, such as comparison periods or ranges.
References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/bullet.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/bullet.html?lang=en#creating-a-bullet-visualization
Refer to the exhibit:
What is a valid interpretation of this Segment Comparison between Purchasers and Non-Purchasers segments?
A valid interpretation of this Segment Comparison between Purchasers and Non-Purchasers segments is that on average, Purchasers view 81 % more videos than Non-Purchasers. This means that the average Video Views per Visitor for Purchasers is 81 % higher than that for Non-Purchasers. Video Views/Visitors is not the most statistically significant difference between the two segments, as it has a low confidence level of 68 %. Purchasers are not 81 % more likely to complete a Video View than Non-Purchasers, as this would imply a probability or conversion rate, not an average.
References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/components/segment-comparison.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/components/segment-comparison.html?lang=en#interpreting-segment-comparison-results
The Product team wants to upload product pricing data from an offline database to the Transaction ID in Adobe Analytics.
Which data import tool should be used for this task?
The data import tool that should be used for this task is Data Sources. Data Sources is a feature that allows you to upload offline data from external sources and match it with online data in Adobe Analytics. It can also support transaction ID as a key variable to join offline and online data.
References: https://experienceleague.adobe.com/docs/analytics/import/data-sources/data-sources-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/import/data-sources/data-sources-overview.html?lang=en#data-sources-types
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