Recommended audiences

The recommended audience feature allows you to identify the target audience for your campaign by using the preferences of similar end users.

You can access this feature when you select the target audience for your campaign.

What is it?

For this feature, SMART uses basic machine learning to identify specific users to target for your selected campaign. Similar to Nextflix, SMART uses collaborative filtering to recommend products to users based on the preferences of similar users. While Netflix recommends movies and television shows to users, SMART recommends banking products. For example, SMART may recommend you include a user in your campaign for a new auto loan because end users with similar product sets also have an auto loan. In the image below, SMART identified that 1,309 of your end users may be interested in a new auto loan. This number was calculated based on users who have similar product sets.

How does it work? 

SMART uses collaborative filtering to identify a collection of end users with similar product types. This technique is shown in the diagram and explained below.

In the center of this circle is an end user who is surrounded by their closest neighbors. These neighbors consist of end users who have product sets most similar to the center end user.

SMART computes the most popular products among this collection of neighbors. The system counts every instance of each product and sorts the data into a list in descending order. The top items in the list are the most common products among this collection of users. The system recommends these top products to the center end user. This end user will be included in the recommended audience for campaigns featuring those products.

Recommended audiences may contain end users who already own the product featured in the campaign. When you define your target audience, you can exclude these end users.