A company develops a new website using a Single Page Application framework. A data layer variable called dataLayer.url is updated with the correct URL when each state change happens.
Which variable should the Architect map to dataLayer.url?
For Single Page Applications (SPAs), it is important to capture the URL changes correctly. The s.pageURL variable should be mapped to dataLayer.url to ensure that Adobe Analytics captures the correct URL each time the state changes in the SPA. This allows accurate tracking of user navigation within the SPA framework.
Which item must be embedded in your pages to asynchronously deploy Adobe Analytics with Launch?
To deploy Adobe Analytics with Launch asynchronously, the necessary JavaScript library must be referenced in the header code of the HTML page. This ensures that the Launch library is loaded early in the page load process, allowing it to manage and fire tags efficiently.
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.
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).
One of the records in the data sources files does not have the same number of columns as the header record. What will be the outcome of this file upload?
When uploading data source files to Adobe Analytics, it is crucial that each record has the same number of columns as the header record. If one of the records does not match the number of columns, the entire file will not be processed due to the column mismatch. This ensures data integrity and consistency in the uploaded data.
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