Audience Expansion helps you grow the reach of an existing audience. It starts from an audience you already trust, creates the right prediction for that audience, and lets you save the predicted users as a new audience for activation.
\nAudience Expansion is a shortcut from the Audience Builder into Predictions. It is not a separate prediction type. The prediction type depends on how the audience you want to expand is built:
\nAudience Expansion is most useful when you already have an audience that performs well, but it is not large enough to meet the needs of your campaign or experience.
\nFor example, you might have an audience of “Vegetarians” that is built from a user attribute like diet_preference. That audience is valuable, but only some users have the necessary attributes populated. Audience Expansion lets you reach additional users who behave like your vegetarian users, even if they don’t have the diet_preference attribute.
\nIf your source audience is defined by event or behavior data (for example, “users who subscribed”), you can expand your reach by identifying users who are likely to take the same action (for example, users likely to subscribe) and then targeting both groups together.
\nThe Expand with AI option appears only for audiences that are eligible for at least one prediction type and are not currently calculating. If an active audience is still calculating, wait until the calculation finishes before expanding it.
\nAudience Expansion can’t be used with audiences that include predictive attributes, calculated attributes, or group attributes.
\nFor user-attribute-only audiences, the similar customer prediction uses your existing audience as the reference segment. The audience must use production environment data and be based only on user attributes. Your data also needs enough users.
\nFor best results, use a single user attribute, keep the original audience smaller than the total population, and make sure there is a large group of users with missing values to expand into. For more detail, see Similar Customer Predictions Overview.
\nTo expand the size of an audience using AI:
\nIf your audience criteria are based only on user attributes, mParticle expands your audience using a similar customer prediction. After you click Expand with AI, you are taken to the Predictions suite where you can create a similar customer prediction based on the audience you selected.
\nOn the prediction setup screen:
\nAfter you create the prediction, you will be taken to the prediction details page for your new prediction. New predictions can take up to 24 hours to calculate. While the prediction is still processing, its status will be set to Calculating.
\nOnce your prediction has been calculated, from the prediction’s details page:
\nChoose how you want the new audience to be composed:
\nFor more details on similar customer predictions, see Create Similar Customer Prediction and Manage Similar Customer Predictions.
\nIf the audience you are expanding is defined by events or user behaviors, mParticle expands your audience using a future behavior prediction. After you click Expand with AI, you are taken to the Predictions tool to create a future behavior prediction.
\nOn the prediction setup screen:
\nAfter you create the prediction, you will be taken to the prediction details page for your new prediction. New predictions can take up to 24 hours to calculate. While the prediction is still processing, its status will be set to Calculating.
\nOnce your prediction has been calculated, from the prediction’s details page:
\nSave and activate the new audience. You can activate it in either of these ways:
\nFor more details on future behavior predictions, see Create Future Behavior Prediction and Manage Future Behavior Predictions.
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