Information about the Important Attributes report, one of the two specialized reports available to users of Automated Personalization (AP) and Auto-Target (AT) activities.
Consider the following when using Personalization Insights reports:
AP and AT activities are available as part of the Target Premium solution. They are not included with Target Standard without a Target Premium license.
Personalization Insights reports are available only for AP and AT activities that use a conversion optimization goal. Activities where the optimization goal was changed to conversion from revenue after the activity was already live are also not supported.
Personalization Insights reports are available only if the Primary Goal is selected from the the Report Metric drop-down list.
Personalization Insights reports are supported in the default environment only.
Personalization Insights reports are generated only for activities that are in the Live status and have been activated and receiving traffic for at least 15 days.
In different activities, different attributes are more, or less, important to how the model decides to personalize. This report shows the top attributes that influenced the model and their relative importance.
Click Activities, then click the desired Automated Personalization or Auto-Target activity from the list.
If you have many activities, you can filter the list by selecting options from the Type, Status, Reporting Source, Experience Composer, Metrics Type, and Activity Source drop-down lists.
The Automated Personalization Summary or Auto-Target Summary report displays, which provides information about the performance of your activities, represented by the first screen icon. The two additional icons represent the two Personalization Insights reports: Automated Segments and Important Attributes.
Note that Auto-Target has an additional graph icon for the graphical view of the Summary report.
The Important Attributes report won’t be available until at least 15 days after you’ve activated your activity. During this initial period, you won’t be able to access this report or click the Important Attributes icon. After 15 days have passed, assuming there is sufficient personalized traffic in your activity, the Important Attributes report is available.
After 15 days from activating the activity, click the Important Attributes icon.
Select the desired date range.
Unlike the Summary report (performance reporting), Personalization Insights, including Important Attributes, is available only for fixed date ranges: 15 days, 30 days, and 60 days.
These fixed date ranges allow Personalization Insights to use a large enough range of data to reduce the likelihood that you derive insights from a short-lived pattern in your activity. The two decisions you can make for your date range is the “End Date” and the “Duration.” You’ll notice that the “Start” is greyed out. The start date automatically changes based on your selections for the end date and duration.
You can access the available fixed date ranges from the Choose Duration drop-down list.
Review the Important Attributes report data.
(Optional) Download the report in CSV format for analysis in Excel and other tools.
The Personalization Insights UI report contains select information. The CSV download for the Important Attributes report contains additional details. The Important Attributes report download includes the full list of the top 100 attributes, while the UI report includes the top 10 only. If you are looking for a specific attribute on the report but it is not there, that doesn’t mean that the attribute didn’t influence the activity, it just didn’t make the list for the top 100 attributes.
The following table explains how to interpret the report and describes its elements:
|Bar graph||The multi-colored bar graph at the top of the screen allows you to visualize these relative importance scores and maps to the dot’s color beside each respective attribute in the table. You can also hover over a specific color in the bar chart to see the attribute it represents. The importance scores across the top 100 attributes add to 100%. For more information about how to add more attributes that Target’s personalization models can use, see Uploading Data for Target’s Personalization Algorithms.|
|Model Attribute Ranking chart||The Model Attribute Ranking includes the top 10 attributes that were most important to how Target’s personalization model decided what content to show each visitor. The importance score shows, relative to the top 100 attributes, how important a specific attribute was to Target’s personalization models in this activity.|
Consult the following FAQs for answers to commonly asked questions about using the Important Attributes report.
There are several reasons why the Personalization Insights reports might not yet be available for your activity:
An attribute is information about a visitor or his or her specific visit used by the personalization algorithms to learn how to personalize traffic. For example, an attribute might be browser type, location, time of day of visit, and so forth.
For more information about what attributes Target uses in its personalization models, see Data Collection for Target’s Personalization Algorithms. For more information about how to upload new attributes into Target to use in Target’s personalization models, see Methods to get Data into Target.
The Models API, also called the Blocklist API, lets users view and manage the list of attributes (also called features) used in machine learning models for Automated Personalization (AP) and Auto-Target (AT) activities. If you want to exclude one or more attributes from being used by the models for AP or AT activities, you can use the Models API to add those attributes to the “blocklist.”
For detailed information, see Models API overview in the Adobe Target Developer Guide. To use the API to block attributes, see Models API.
No, the UI report contains select information. The CSV download contains additional details. The Automated Segment Insights report download includes additional Automated Segments beyond the top segments included in the UI, along with how those segments performed against your offers or experiences. The Important Attributes report includes the top 100 visitor attributes and their relative importance, while the UI only includes the top 10 visitor attributes.
Personalization Insights reporting (both Automated Segments and Important Attributes) is available only for fixed date ranges: 15 days, 30 days, 45 days, 60 days, and 90 days. These fixed date ranges allow Personalization Insights to use a large enough range of data to reduce the likelihood that you derive insights from a short-lived pattern in your activity. You can select these durations for any end-date (where these is enough data in the activity to satisfy the duration).
Personalization Insights is created using an Adobe patent-pending technique called MAGIX (Model Agnostic Globally Interpretable Explanations). You can learn more about MAGIX in the Adobe research team’s published paper on the arXiv.org website.
At this time, Personalization Insights is available only for conversion optimization goal activities. We will be adding support for revenue optimization goal activities in a future release.
The importance score in the “Attribute Importance Ranking” part of the report provides input into what variables the algorithm used to learn were most important when it determined how to split all the visitors into the segments it identified. It assigned a percentage score to the top 100 attributes used by the model.
There are several potential reasons why you might see more visits to a lower-conversion offer/experience within an automated segment, including:
Knowing how the model works that serves traffic can be helpful. Each individual is served based on his or her total profile. However, the Insights reports generalize this behavior to make it more interpretable by a human. As a result, segments are not mutually exclusive. This can lead to individual segments displaying this type of behavior because the same person can appear in multiple segments.
The following issue is currently being investigated by the Target engineering team.