Adobe AD0-E207 Exam Questions

In Adobe Analytics, non-sequential segments allow for the inclusion of conditions that do not necessarily occur in a specific order. Since the specific product demo page and coupon page can be viewed in any order between the landing page and the order confirmation page, non-sequential containers are the appropriate choice. They allow for the creation of a segment where users must have started their visit from a campaign and completed an order, without enforcing a strict sequence for intermediate steps.

To track website usage without visitors seeing which data points are being collected, the recommended approach is to send tracking calls server-side via the Data Insertion API. This method allows for the collection of page names, form names, a counter event for each page of the checkout flow, and the s.products variable while keeping the tracking logic and data points hidden from the client side.

To capture and analyze the contribution of news sections to conversions, the following steps should be taken:

Assign a custom eVar to capture the news section value: This allows for tracking which news sections users engage with.

Enable linear attribution to the eVar: Linear attribution ensures that all news sections engaged with during a session are credited proportionally for any conversions, providing a more balanced view of their contribution.

Expire the eVar after the visit: This ensures that the attribution is relevant to the current session and does not carry over to future sessions, maintaining accuracy in conversion analysis.

This approach provides a clear and comprehensive understanding of how different news sections contribute to conversions.

Custom success events in Adobe Analytics are specific to the business goals and can vary widely depending on the site's purpose. Examples of such events typically include actions that are significant indicators of user engagement or progress through a conversion funnel:

Cart Adds: Tracking how often users add items to their cart.

Form Completions: Monitoring the number of users who complete and submit forms on the site.

These are distinct from more generic metrics like purchases or checkouts which are often predefined standard events in many analytics implementations.

The issue arises because the calculated metric 'Orders / Visits' is not aggregating correctly at the product level in the Products report. To resolve this, the Architect should create a calculated metric that uses the Total versions of the Orders and Visits metrics. This ensures that the calculation is performed on the overall totals rather than individual line items, providing an accurate percentage of visits that resulted in purchases.