A4T support for Auto-Allocate and Auto-Target activities

The Adobe Target-to-Adobe Analytics integration, known as Analytics for Target (A4T) supports Auto-Allocate and Auto-Target activities.

The A4T integration lets you:

• Use Auto-Allocate’s multi-armed bandit capability to drive traffic to winning experiences.
• Use Auto-Target’s ensemble machine learning algorithm to choose a best experience for each visitor. Auto-Target chooses the best experience based on users’ profiles, behaviors, and context all while using an Adobe Analytics goal metric and Adobe Analytics’ rich reporting and analysis capabilities.

Make sure you have implemented A4T for use with A/B Test and Experience Targeting activities. If you are using analyticsLogging = client_side, you must also pass the sessionId value to Analytics. For more information, see Analytics for Target (A4T) reporting in the Adobe Target SDKs guide.

To get started:

1. While creating an A/B Test activity, on the Targeting page, select one of the following options as the Traffic Allocation Method:

   • Auto-Allocate to best experience
   • Auto-Target for personalized experiences

   

   For more information and step-by-step instructions, see Create an Auto-Allocate activity and Create an Auto-Target activity.

2. Select Adobe Analytics for your Reporting Source on the Goals & Settings page and select the report suite corresponding to your desired optimization goal.

   

3. Choose a Primary Goal metric.

   • To use Adobe Target to specify the optimization goal, choose Conversion .
   • Choose Use an Analytics metric and then select a metric from Analytics for use as the optimization goal. You can use an out-of-box Analytics conversion metric or an Analytics custom event.

   See Supported goal metrics below for more information.

4. Save and activate your activity.

   Auto-Allocate uses your selected metric to optimize the activity, driving visitors to the experience that maximizes your goal metric.

   Or

   Auto-Target uses your selected metric to optimize the activity, driving visitors to a personalized best experience.

5. Use the Reports tab to view your activity’s reporting by your choice of Adobe Analytics metrics. Click View in Analytics to dive deep and further segment your reporting data.

Supported goal metrics

A4T for Auto-Allocate and Auto-Target let you choose any of the following metric types as your primary goal metric for optimization:

• Adobe Target conversion metrics
• Adobe Analytics conversion metrics
• Adobe Analytics custom events

A4T for Auto-Allocate and Auto-Target requires you to choose a metric that is based on a binomial event. A binomial event either does or does not happen. Binomial events include a click, a conversion, an order, and so forth. These types of events are also sometimes referred to as Bernoulli, binary, or discrete events.

A4T for Auto-Allocate and Auto-Target does not support optimization for continuous metrics. Continuous metrics include revenue, number of products ordered, session duration, number of page views in session, and so forth. These unsupported types of metrics are also sometimes referred to as non-binomial or non-Bernoulli metrics.

The following metric types are unsupported as primary goal metrics:

• Adobe Target engagement and revenue metrics

• Adobe Analytics engagement and revenue metrics

  It is possible to select an Analytics engagement or revenue metric as your primary goal metric because Target cannot identify and exclude all engagement and revenue metrics from Analytics. Select only binomial conversion metrics or custom events from Analytics.

• Adobe Analytics calculated metrics

Limitations and notes

Some limitations and notes apply to both Auto-Allocate and Auto-Target activities. Other limitations and notes apply to one activity type or the other.

Auto-Allocate and Auto-Target

• The reporting source cannot be changed from Analytics to Target or conversely after an activity has been activated.
• Although calculated metrics are not supported as primary goal metrics, it is often possible to achieve the intended result by instead selecting a custom event as the primary goal metric. For example, if you want to optimize for a metric such as “form completions per visitor,” select a custom event corresponding to “form completions” as your primary goal metric. Target automatically normalizes conversion metrics on a per-visit basis to account for uneven traffic distribution, so it is not necessary to use a calculated metric to perform normalization.
• Target uses the “Same Touch” attribution model in the Auto-Allocate feature: Analytics for Target (A4T).

Auto-Allocate

• Auto-Allocate models continue to train every two hours, as usual.

Auto-Target

• Auto-Target models continue to train every 24 hours, as usual. However, conversion event data coming from Analytics is delayed by an extra six to 24 hours. This delay means the distribution of traffic by Target trails the latest events recorded in Analytics. This delay has the largest effect in the first 48 hours after an activity is initially activated. The activity’s performance will more closely mirror Analytics conversion behavior after five days have elapsed. Consider using Auto-Allocate instead of Auto-Target for short-duration activities in which most traffic occurs within the first five days of the activity’s life.
• When using Analytics as the data source for an Auto-Target activity, sessions end after six hours have elapsed. Conversions occurring after six hours are not counted.

For more information, see Attribution models and lookback windows in the Analytics Tools Guide.