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A company wants to market to more visitors via email, SMS, and print mail. They obtain contact details from visitors through their website account registration form. Their immediate business goal is to increase website account registrations.
The Architect adds the following dimensions and metrics to the Measurement Plan:
eVar for Visitor Login Status
eVar for Form Name
Event for Form Starts
Event for Forms Submitted With Errors
Event for Forms Submitted Successfully
Which two calculated metrics should the Architect add to the Measurement Plan? (Choose two.)
Business Goal: Increase website account registrations by tracking relevant metrics.
Key Dimensions and Metrics: Visitor Login Status, Form Name, Form Starts, Forms Submitted With Errors, Forms Submitted Successfully.
Calculated Metrics:
Registration Form Completion Rate: Measures the percentage of forms started that are successfully completed, providing insights into form usability and effectiveness.
Return Visitation Rate: Tracks how often visitors return but is not directly related to registration form completion.
Registered Visitor Transaction Rate: Useful for post-registration analysis but not directly for increasing registrations.
Registered Visitor Form Start Rate: Redundant as registered visitors are less relevant for new registrations.
Unregistered Visitor Registration Form Start Rate: Tracks the engagement of unregistered visitors with the registration form, crucial for understanding initial interest.
Explanation:
Registration Form Completion Rate: Essential for evaluating the effectiveness of the registration form.
Unregistered Visitor Registration Form Start Rate: Provides insights into how many new visitors are interested in registering, a direct indicator of potential registration increase.
Verification: According to Adobe's Measurement Planning documentation, these calculated metrics are vital for tracking and improving form conversion rates (Adobe Measurement Planning Guide).
For an online retail company, propl 7 and prop24 are used to collect link name and link type respectively, and are sent via an s.tl() call.
An Architect is assigned to create a segment at a visitor level where the propl 7 was set to "Checkout' , prop24 was set to 'custom link' , and a product xyz" was purchased in the same visit.
How should the Architect build this segment?
To create a segment that captures visitors who engaged with a specific link type and purchased a specific product within the same visit, the following structure should be used:
Visitor container: Ensures the segment applies to the entire visitor's history.
Visit container (product = 'xyz'): Ensures that the product 'xyz' was purchased during the visit.
**Hit (prop17 = 'Checkout'
Top of Form
Bottom of Form
A company has a website with many forms.
The company wants the ability to report on:
* Form errors per visit
* Form errors per form
* Successful form submissions
Which three variables should be used to meet these requirements? (Choose three.)
Business Requirement: The company wants to track successful and unsuccessful form submissions and identify the types of forms being submitted.
Variables and Metrics Needed:
Event for 'Forms Submitted with Errors': Captures instances where forms are submitted but contain errors.
eVar for 'Form Type': Identifies the type of form being submitted, which is crucial for analyzing different form performance.
Event for 'Forms Submitted Successfully': Captures instances where forms are successfully submitted.
Explanation:
Event for 'Forms Submitted with Errors': Essential for understanding and improving form completion processes by identifying where users encounter issues.
eVar for 'Form Type': Provides detailed breakdowns of form performance by type, aiding in targeted improvements.
Event for 'Forms Submitted Successfully': Measures the completion rate of forms, which is critical for business metrics.
Verification: According to Adobe Analytics best practices, using specific events for tracking successful and error submissions alongside eVars for categorization provides comprehensive insights (Adobe Analytics Implementation Guide).
In reviewing data from a Data Feeds request, an Architect sees that on the same hit, eVar1 has no value but post_eVarl has the value: PDP:summer:sunglasses
Why are these values different?
The difference between eVar1 and post_eVar1 values indicates that processing rules or Vista Rules are being applied. Processing rules or Vista Rules can modify the values of variables after the initial data collection. In this case, eVar1 initially has no value, but post_eVar1 shows the modified value 'PDP:summer
' after the application of these rules.
For an Implementation, the data layer is correctly mapped to the data element in the browser console for eVar1. Also, the Adobe Image request in the Network tab has the value populated correctly for eVar1.
The reporting does NOT have any values for eVar1.
What are three reasons for this issue? (Choose three.)
Business Requirement: Ensure data captured by eVar1 is correctly reported.
Potential Issues:
Tracking server is incorrect: Data might not be sent to the correct server for processing.
eVar1 is NOT enabled in admin settings: The eVar must be enabled in the admin settings to be recorded and reported.
Report Suite ID is incorrect: Data might be sent to the wrong report suite, causing discrepancies in reporting.
Explanation:
Tracking server is incorrect: Ensures data reaches the correct Adobe Analytics server for processing.
eVar1 is NOT enabled in admin settings: Critical to have eVar1 enabled for it to collect and report data.
Report Suite ID is incorrect: Ensures data is reported in the correct report suite.
Verification: According to Adobe Analytics troubleshooting documentation, ensuring the correct tracking server, enabled eVars, and correct Report Suite ID are fundamental steps in diagnosing reporting issues (Adobe Analytics Troubleshooting Guide).
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