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?
Answer : 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).
A product was viewed on two different pages and was added to the cart from one of the pages. Below are the product syntax used for each page.
Page 1:
s.products = ";prod123;1;100;;evar2=merch_category1";
Page 2:
s.products = ";prod123;1;100;;evar2=merch_category2";
If the product was checked out and purchased for $100, how might revenue be attributed to eVar2 if merchandising is enabled? (Choose two.)
Answer : A, E
When merchandising is enabled in Adobe Analytics, revenue attribution can vary based on the allocation method:
Linear Allocation: Distributes revenue equally across all instances of the product view and add-to-cart events. Thus, $100 would be attributed to both merch_category1 and merch_category2.
Most Recent Allocation: Attributes the revenue to the most recent instance of the variable. Thus, $100 would be attributed to merch_category2.
This approach ensures that revenue attribution accurately reflects user interactions with products.
What three are attributes of virtual report suites? (Choose three.)
Answer : A, D, E
Virtual report suites in Adobe Analytics have the following attributes:
Some settings are inherited from the parent report suite: Virtual report suites inherit certain configurations from the parent report suite, such as variable definitions and processing rules.
They can be added individually to permission groups: Virtual report suites can be assigned to different user groups, allowing for controlled access based on permissions.
Current and real-time data is supported: Virtual report suites support current and real-time data, enabling up-to-date reporting and analysis.
These attributes make virtual report suites a flexible and powerful tool for segmenting and managing data within Adobe Analytics.
An Architect needs to update mobile data collection to comply with company and legal guidelines (GDPR, CCPA). The Architect discovers the Android version of their mobile application tracks the latitude, longitude, and iBeacon dat
a. Tracking specific geographic data is now considered out of compliance with company guidelines, and must be updated.
Which call must be removed?
Answer : D
Business Requirement: Ensure compliance with GDPR and CCPA by updating mobile data collection practices.
Tracking Methods:
getGeoCoordinates: Retrieves geographical coordinates but is typically not the method used for tracking purposes.
trackState: Tracks the state of the application and user interaction.
trackAction: Tracks specific user actions within the application.
trackLocation: Explicitly tracks geographic location data, including latitude, longitude, and iBeacon data.
Explanation:
trackLocation: Must be removed to comply with regulations as it directly tracks and transmits geographic location data.
Verification: According to Adobe Mobile Services documentation, removing the trackLocation call ensures compliance with data protection regulations by eliminating the collection of sensitive geographic data (Adobe Mobile SDK Guide).
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?
Answer : 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.
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?
Answer : D
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.
A company wants to report on the monetary value of a visitor's cart when they reach the checkout page.
The company offers only 5 products online. They want to report on product names but do not want to upload files into Adobe Analytics to classify the product IDs.
A visitor reaches the checkout page with the following items in their cart:
* A single $8 Novelty Mug", product ID=123
* 2 bags of "Coffee Beans'' with a total price of $10, product ID=234
Which variable values must be set to meet these requirements?
Answer : D
Business Requirement: Report on the monetary value of a visitor's cart at the checkout page without using product IDs.
Variable Configuration:
s.events: Captures the checkout event and the monetary value.
s.products: Lists the product names and their corresponding values.
Explanation:
s.events = 'scCheckout,event1': This sets the event to capture the checkout action and records the event value.
s.products = ';Novelty Mug;;;event1=8.00,;Coffee Beans;;;event1=10.00': This format lists the products by name and assigns their respective monetary values.
Verification: According to Adobe Analytics product string documentation, the format used correctly attributes product names and values to the checkout event (Adobe Analytics Implementation Guide).