Which two are standard metrics? (Choose two.)
Correct : C, E
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.
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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?
Correct : C
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.
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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?
Correct : D
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.
Explanation:
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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A Solution Design Reference (SDR) is built for architectsite.com. The site has the following business requirements:
* Report on newsletter sign-up attempts (event1) by URL
* View the user journey through the site by page name
* Track which site section successful newsletter sign-ups (event2) occur
Which query string parameters must be seen in the network request to meet the requirements?
Correct : D
To meet the specified business requirements, the query string parameters in the network request must include:
events=event1,event2: This captures both newsletter sign-up attempts (event1) and successful sign-ups (event2).
vl=architectsite.com: This identifies the URL.
pageName=homepage: This tracks the user journey through the site by page name.
ch=home: This captures the site section where the successful newsletter sign-ups occur.
The combination of these parameters ensures that all the required data points are collected and reported accurately.
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A company is using Segment IQ to compare mobile and desktop traffic.
The metrics of interest to them are as follows:
* Page Views/Visitors
* Searches/Visitors
* Carts/Visitors
* Cart Additions/Visitors
* Revenue/Visitors
The differential score when comparing each metric with each segment is high at 0.9 or greater. What does this differential score indicate?
Correct : A
Segment IQ in Adobe Analytics is used to compare different segments of traffic to determine the statistical significance of differences between metrics. A high differential score of 0.9 or greater indicates a high statistical significance difference between the metrics of the two segments. This means that the differences observed in metrics like Page Views/Visitors, Searches/Visitors, Carts/Visitors, Cart Additions/Visitors, and Revenue/Visitors are not due to random chance but are significant and meaningful.
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