Adobe AD0-E208 - Adobe Analytics Business Practitioner Expert

Data Warehouse is a tool that allows you to run custom queries on raw data and export the results to various formats. It can also provide the IP address of the user as a dimension, which can help identify bot traffic without using a custom variable.

References: https://experienceleague.adobe.com/docs/analytics/export/data-warehouse/data-warehouse.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/dimensions/ip-address.html?lang=en

Bounce rate and time spent on page are two metrics that can indicate how engaging and user-friendly a landing page is. A high bounce rate means that visitors are leaving the site after viewing only one page, which may suggest that the page is not relevant or appealing to them. A low time spent on page means that visitors are not spendingenough time to explore the content or take action on the page, which may also imply that the page is confusing or uninteresting.

References: https://experienceleague.adobe.com/docs/analytics/components/metrics/bounce-rate.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/metrics/time-spent.html?lang=en

If a stakeholder wishes to build a Freeform Table in Analysis Workspace that consists of a list of specific pages on the company website and the number of visits to them, but they are not able to find a page dimension item for an existing page that they are looking for, the best option is to scroll down to the bottom of the page dimension list inthe left rail and select “Show Top Items From Last 6 Months”. This will refresh the page dimension list and show more items based on the last six months of data. Changing the workspace date range or using a custom date range in a Freeform Table will not affect the page dimension list in the left rail.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/build/freeform-tables.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/build/freeform-tables.html?lang=en#show-top-items-from-last-6-months

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

Workspace is a tool that allows you to create interactive and customizable reports using various visualizations and components. It can also support multiple variables in a single fallout report, unlike segment builder or reports and analysis.

References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/analysis-workspace.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/fallout.html?lang=en#creating-a-fallout-visualization

The order in which these data components are processed is page code > VISTA Rules > Marketing Channel Rules > Processing Rules. This means that page code is processed first, then VISTA Rules are applied on top of page code data, then Marketing Channel Rules are applied on top of VISTA Rules data, and finally Processing Rules are applied on top of Marketing Channel Rules data.

References: https://experienceleague.adobe.com/docs/analytics/admin/admin-tools/channel-manager/marketing-channels-overview.html?lang=en#data-processing-order https://experienceleague.adobe.com/docs/analytics/admin/admin-tools/channel-manager/marketing-channels-overview.html?lang=en#data-processing-order

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

If a key is matched to multiple rules and it sets the same classification column, the user can control the order by ranking the most important rule last in the rule set. This is because classification rules are applied from bottom to top, so the last rule that matches a key will overwrite any previous rules that also matched the same key. Ranking the most important rule first or using linear ranking will not work, as they will not ensure that the most important rule takes precedence over the others.

References: https://experienceleague.adobe.com/docs/analytics/components/classifications/classifications-ruleset.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/classifications/classifications-ruleset.html?lang=en#rule-order

Occurrences is a metric that counts every hit where a dimension value is set, including page views and events. Therefore, if an entry page has more occurrences than entries, it means that visitors who entered through that page also triggered other events during their session. Entries is a metric that counts only the first hit of a visit where a dimension value is set, such as an entry page.

References: https://experienceleague.adobe.com/docs/analytics/components/metrics/occurrences.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/metrics/entries.html?lang=en