The web analyst for a beauty products company wants to create a report to analyze the number of sample requests for one of their product pages.
The following items are available from the default configuration:
* prop3, which registers the product page name and is fired in the first page load
* eVar4, which registers the product page name and is fired in the first page load
* event1 2, which fires when a visitor clicks on "Request a sample'' call to action
How can the analyst accomplish the creation of this report?
Answer : C
The best way to create a report to analyze the number of sample requests for one of their product pages is to use eVar4 in combination with event12 as a metric. eVar4 registers the product page name and is fired in the first page load, so it will capture and persist the value for each visit. event12 fires when a visitor clicks on ''Request a sample'' call to action, so it will measure the number of sample requests. Using eVar4 as a dimension and event12 as a metric will show how many sample requests were made for each product page. Using prop3 instead of eVar4 will not work, as prop3 does not persist across hits or visits.
References: https://experienceleague.adobe.com/docs/analytics/components/variables/conversion-variables/conversion-var-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/variables/traffic-variables/traffic-var-overview.html?lang=en
The Solution Design Reference (SDR) document states that the expiration setting for eVarl 1 is "never" and the allocation is Most Recent (Last).
What happens to the persisted value when there is a new value collected for eVar11?
Answer : B
Since eVar11 has the allocation setting of Most Recent (Last), it means that it will always capture the last value that was set for that variable in a visit. Therefore, if there is a new value collected for eVar11, it will overwrite the old value that was previously persisted.
References: https://experienceleague.adobe.com/docs/analytics/components/variables/conversion-variables/conversion-var-overview.html?lang=en#allocation
An analyst wants to exclude visits where a page with the name "Shopping Checkout" was viewed.
How would these visits be excluded from a report?
Answer : C
The best way to exclude visits where a page with the name ''Shopping Checkout'' was viewed is to use a visit-based segment with one exclude condition: Page equals ''Shopping Checkout''. This will ensure that only the visits that did not include any hit where Page equals ''Shopping Checkout'' are included in the report. A hit-based segment with one exclude condition: Page equals ''Shopping Checkout'' will not work, as it will only exclude the hits where Page equals ''Shopping Checkout'', but not the entire visits. A visit-based segment with one include condition: Page does not equal ''Shopping Checkout'' will not work either, as it will include any visit that had at least one hit where Page does not equal ''Shopping Checkout'', even if it also had a hit where Page equals ''Shopping Checkout''.
References: https://experienceleague.adobe.com/docs/analytics/components/segments/segment-tips.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/segments/segment-tips.html?lang=en#exclude-visits-with-a-specific-page
In which two visualizations is the Anomaly Detection report available? (Choose two.)
Answer : B, D
Anomaly Detection is a feature that automatically detects statistical anomalies in your data based on a daily or weekly granularity. Therefore, it is only available in line visualizations by day or by week, not in ranked or trended freeform tables.
References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/line-visualization.html?lang=en#anomaly-detection https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/predictive-analytics/anomaly-detection.html?lang=en
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?
Answer : B
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
An analyst has been given a list of dimensions available to conduct an analysis on their hospital's doctor site.
The Solution Design Reference (SDR) contains:
eventl - Start Appointment Booking - Set on: Appointment Booking Start
event2 - Booking Complete - Set on: Appointment Booking Complete
eVarl - Doctor Type - Set on: event2
eVar2 - Number of Available Appointments - Set on eventl
propl -Appointment Pathing
Given the SDR, which report can be generated?
Answer : A
Given the SDR, the report that can be generated is Booking Completion Rate. This is a measure of how many visitors who started an appointment booking completed it. It can be calculated by dividing event2 (Booking Complete) by event1 (Start Appointment Booking). The other reports, Time to Book an Appointment and Length of Appointments, cannot be generated with the given SDR, as they require additional variables or data sources.
References: https://experienceleague.adobe.com/docs/analytics/components/metrics/calculated-metrics.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/metrics/calculated-metrics.html?lang=en#calculated-metric-examples
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?
Answer : B
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