Attribution IQ is the feature designed for multi-channel attribution analysis. It allows analysts to apply different attribution models (like first touch, last touch, linear) to understand how each marketing touchpoint contributes to conversions, which is essential for evaluating a cross-channel launch campaign.

Using the “Compare Segments” feature to isolate and compare the traffic/behavior from the period before the drop to the period after is the most efficient, in-tool method for diagnosis. This allows you to see differences in dimensions (like browser, geography, campaign) that may correlate with the issue.

To enforce regional data collection rules, you must configure the data collection logic (via Processing Rules) within a specific Report Suite. Processing rules can conditionally alter or suppress data based on criteria like geography, ensuring the raw data entering the suite complies with the policy.

In Single Page Applications (SPAs), navigation often occurs without a full page reload. If the analytics implementation isn’t configured with custom link tracking or the SPA view event (using the Web SDK or AppMeasurement), the session may appear to have 100% bounce rate and inaccurate time spent, as no subsequent page views are recorded to end the ‘time on page’ timer.

Creating and sharing a project template is the best practice. It allows stakeholders to create their own new projects based on your curated structure, filters, and metrics. They can then apply their own date ranges and make minor modifications without risking changes to the original, master project.

This structure correctly uses a Visitor container for the persistent mobile device type. Inside, it uses a Visit container to find sessions where the cart page was viewed, and then uses the exclusion logic within that same visit container to exclude visits that *also* contained a purchase confirmation. This accurately targets mobile visitors who had a cart-view session that did not culminate in a purchase.

A massive drop at the first step often indicates a tracking issue. If the event for the first step (e.g., ‘Signup Button Click’) is a custom event using an event ID that is not persistent (e.g., it’s set to a dynamic value that changes), it may not be recording consistently. Checking the implementation logic for that event is a fundamental technical troubleshooting step.

In the AEP Web SDK architecture, the Data Collection Tags property is the client-side orchestration layer. It hosts the SDK library and, crucially, uses a rule-based interface to determine when (on which user actions) data is collected, how it is structured into an XDM schema, and which Adobe services (Analytics, Target, etc.) it is sent to.

This is a classic metric interpretation issue. ‘Revenue’ is a summed total. ‘Unique Visitors’ is a deduplicated count. Dividing total revenue by the count of unique visitors gives an average revenue per visitor. If you have a handful of ‘whale’ customers who spend very large amounts, they will pull this average up significantly, which may not reflect the typical visitor’s behavior. It’s mathematically correct but may not be the intended insight.

Attribution IQ is the feature designed for multi-channel attribution analysis. It allows analysts to apply different attribution models (like first touch, last touch, linear) to understand how each marketing touchpoint contributes to conversions, which is essential for evaluating a cross-channel launch campaign.0