AD0-E207 Exam Dumps : Adobe Analytics Architect Master

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.

 Business Requirement: Track the login status of visitors on a secure website.

 Potential Login Statuses:

"Unregistered / Logged Out": Tracks users who have not registered or have logged out.

"Anonymous": Generally used for visitors who browse without logging in, but does not apply in a secure login-required context.

"Registered / Logged Out": Important for tracking users who have accounts but are currently logged out.

"Registered / Logged In": Essential for tracking active, logged-in users.

"Incomplete Registration": Useful for identifying users who started but did not complete the registration process.

"Unregistered / Logged In": Typically not applicable as unregistered users cannot be logged in.

 Explanation:

"Unregistered / Logged Out": Helps in understanding the behavior of users who visit but have not completed registration or logged out.

"Registered / Logged In": Critical for identifying and analyzing the behavior of active users.

"Incomplete Registration": Helps in identifying and addressing barriers in the registration process.

 Verification: According to Adobe Analytics best practices, capturing various login statuses helps in comprehensive user behavior analysis (Adobe Analytics User Guide).

 Business Requirement: Report on Facebook and Twitter activity separately in Marketing Channel reports.

 Configuration Steps:

Identify Social Media Traffic: Create a rule to identify all social media traffic.

Split Facebook and Twitter Traffic: Create rules to distinguish traffic from Facebook and Twitter based on tracking codes.

 Explanation:

First Rule for Social Media Traffic: This rule captures all social media traffic under a single category.

Second Rule to Split Traffic: Additional rules to distinguish between Facebook and Twitter based on specific tracking codes ("socialjb" for Facebook and "sociaLtw" for Twitter).

 Verification: According to Adobe's documentation on Marketing Channel Processing, using multiple rules to identify and then split traffic ensures detailed and accurate reporting (Adobe Analytics Marketing Channel Processing Rules Guide).