Adobe AD0-E207 Dumps PDF Free Download - Page: 7

QUESTION: 6

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 .

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

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QUESTION: 7

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.)

cart adds
internal searches
checkouts
form completions
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

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QUESTION: 8

Which two are standard metrics? (Choose two.)

Checkouts
event! 0
purchase
Sign-ups
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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QUESTION: 9

A retail company is tracking the following:
· An event for clicks on navigation
· An eVar for navigation items clicked on
· A conversion syntax merchandising eVar tracking navigation as a product finding method (PFM) The company is in the beginning stages of a site redesign and wants to optimize their navigation system.
Before they can optimize, the company needs to benchmark how effectively their current navigation system brings visitors deeper into the site to find products .
Which metric should the Architect use?

(Units) -r (orders where Navigation is the PFM)
Navigation click-through rate (Navigation clicks * page views)
Navigation usage rate per visit (Navigation clicks * visits)
(Product Views with Navigation as the PFM) * (Navigation clicks)

Answer(s): C

Explanation:

To benchmark the effectiveness of the current navigation system, the Architect should look at the navigation usage rate per visit. This metric, calculated by multiplying the number of navigation clicks by the number of visits, provides insight into how often visitors are engaging with the navigation system on a per-visit basis . It helps to understand the relative frequency of navigation usage, which is crucial for optimizing the system and ensuring that it effectively helps users to explore the site and find products .

Reference:

Adobe Analytics Navigation Metrics

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QUESTION: 10

For internal search terms, a company wants to give credit to the original keyword used to find a product. On the first visit, a customer searches for "Mobile" and views the Nebulous Pro. During the second visit, the customer refines this search to "5G Mobile" and views the Nebulous Pro again. The customer then purchases the Nebulous Pro for S200 on the third visit. The company wants "Mobile" to receive credit.
Which configurations should the Architect apply?

Configure an eVar as Merchandising with Original Value (First) allocation and set the expiration to 3rd Visit.
Configure an event to capture the revenue and enable the participation and set the expiration of the visit to 90 days .
Configure an event as Merchandising event to capture the revenue and set the expiration of the visit to 30 days .
Configure an eVar as a Merchandising Variable with Original Value (First) allocation and set the expiration to the purchase event.

Answer(s): D

Explanation:

Business Requirement: The company wants to ensure that the original search term ("Mobile") receives credit for the purchase, despite subsequent searches . Understanding Merchandising eVars: Merchandising eVars are used to attribute success events (like purchases) to specific values captured earlier (like search terms).
Allocation and Expiration Settings:
Original Value (First) Allocation: This setting ensures that the first value captured (in this case, "Mobile") remains attributed to the visitor, regardless of subsequent values . Expiration Setting: Setting the expiration to the purchase event ensures that the value ("Mobile") remains active until the visitor makes a purchase.

Configure an eVar as Merchandising Variable: This allows tracking specific values like search terms in relation to product views and purchases .
Original Value (First) Allocation: Ensures that the initial search term ("Mobile") gets credit. Expiration to Purchase Event: Keeps the eVar value until the purchase is made, ensuring accurate attribution.

Verification: According to Adobe Analytics documentation on Merchandising eVars, using Original Value allocation with appropriate expiration settings ensures correct attribution of original search terms to final purchases (Adobe Analytics Implementation Guide).

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Adobe Analytics Architect Master AD0-E207 Dumps in PDF

Free Adobe AD0-E207 Real Questions (page: 7)

QUESTION: 6

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