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Integrate Analytics with Target

Integration value and setup

The videos below show the value of using this integration, as well as details regarding getting the integration set up.

NOTE
These videos demonstrate the implementation and validation for Target at.js and Analytics appMeasurement.js. Please refer to the documentation for required library versions in both tools.

Setting up A4T (Analytics for Target)

In this video, meant for a developer, you learn how to:

  • Explain how Analytics and Target requests bind up using SDID
  • Describe implementation requirements for Adobe Analytics with Adobe Target (A4T)

Use Analytics as a Data Source for Target

In this video, meant for a business practitioner, you will learn:

  • What is A4T and why would I use it?
  • How does A4T work?
  • What are the pre-requisites to using A4T?

Common use cases

The videos below show different features, activity types, and benefits of integrating via A4T.

Analytics for Target (A4T) Panel in Analysis Workspace

The Analytics for Target (A4T) panel lets you analyze your Adobe Target activities and experiences, with lift and confidence, in Analysis Workspace.

Analyze an Auto-Target Activity using the A4T Panel

In this video, you will learn how to use the Analytics for Target panel to visualize results of an Auto-Target test.

We also have two step-by-step tutorials showing you the details for setting up A4T reports in Analysis Workspace for “auto-allocate” and “auto-target” activities:

Setting up A4T reports in Analysis Workspace for Auto-Allocate activities a4t-auto-allocate

An Auto-Allocate activity identifies a winner among two or more experiences and automatically reallocates more traffic to the winner while the test continues to run and learn. The Analytics for Target (A4T) integration for Auto-Allocate allows you to see your reporting data in Adobe Analytics, and you can even optimize for custom events or metrics defined in Analytics.

Set up A4T reports for Auto-Allocate activities

Setting up A4T reports in Analysis Workspace for Auto-Target activities a4t-auto-target

The Analytics for Target (A4T) integration for Auto-Target activities uses the Adobe Target ensemble machine learning (ML) algorithms to choose the best experience for each visitor based on their profile, behavior, and context, all while using an Adobe Analytics goal metric.

Although rich analysis capabilities are available in Adobe Analytics Analysis Workspace, a few modifications to the default Analytics for Target panel are required to correctly interpret Auto-Target activities, due to differences between experimentation activities (manual A/B Test and Auto-Allocate) and personalization activities (Auto-Target).

Set up A4T reports for Auto-Target activities

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