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During a website audit, an Architect finds that the checkout pages on the site have been redesigned to include a tag management system that deploys Adobe Analytics . The rest of the site has Adobe Analytics hard-coded onto the site. Both implementations use the same AppMeasurement version and are on the same domain.
How will this approach affect the reporting?

  1. eVars will not persist as a user moves to the checkout section.
  2. As visitors move to checkout, they will be tracked as a different visitor.
  3. Checkout will be considered a landing page.
  4. There will be inconsistencies in the data due to challenging upkeep.

Answer(s): D

Explanation:

When different parts of a website use different methods to implement Adobe Analytics (hard-coded vs . tag management system), it can lead to inconsistencies in data reporting. This is because the two methods might not be perfectly synchronized in terms of how they handle data collection, processing rules, or variables . Despite using the same AppMeasurement version and operating on the same domain, differences in the deployment method can cause issues such as discrepancies in variable persistence, tracking cookies, or firing sequence of the analytics calls . These inconsistencies can make it difficult to maintain and accurately report on the collected data.


Reference:

Adobe Analytics Implementation Guide



A new business requirement is submitted to start capturing the shipping cost of each order. After updating the product string on the confirmation page to collect the shipping cost in event1 00, no results show up for this event in Adobe Analytics .

  1. products = ";car stereo;1;820;event100:123=23
    Which code change should be made?
  2. s .products = ";:car stereo;1 ;820;eventl 00=23"
  3. s .products = ";car stereo;1 ;820;;event100=23"
  4. s .products = ";car stereo;! ;820:event100=23"
  5. s .products = ";car stereo;!;820;eventl00=23"

Answer(s): B

Explanation:

The issue in the original code lies in the incorrect placement of the event syntax. In Adobe Analytics, when defining events in the product string, the correct format must be followed to ensure the event is captured properly. Specifically, there needs to be a double semicolon (;;) before the event definition.
The corrected code s .products = ";car stereo;1 ;820;;event100=23" ensures that the event is recognized correctly by Adobe Analytics .


Reference:

Adobe Analytics Product Variable Guide



While preparing for a new analytics implementation for a site, you begin conducting stakeholder interviews . Part of the conversation includes defining KPIs, including custom success events .
Which are two examples of custom success events on a site? (Choose two.)

  1. cart adds
  2. internal searches
  3. checkouts
  4. form completions
  5. purchases

Answer(s): A,D

Explanation:

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 .


Reference:

Adobe Analytics Custom Events



Which two are standard metrics? (Choose two.)

  1. Checkouts
  2. event! 0
  3. purchase
  4. Sign-ups
  5. Orders

Answer(s): C,E

Explanation:

Standard metrics in Adobe Analytics are those that come pre-configured within the platform and are commonly used across various types of implementations . These include:
Purchase: Tracks the completion of a purchase transaction.
Orders: Records the number of orders placed.
These metrics are essential for eCommerce tracking and are part of the standard set of metrics available in Adobe Analytics .


Reference:

Adobe Analytics Standard Metrics






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