Experience Editor: Target Step
The audience step in the Experience editor allows you to configure the target audience for your Experience. Use the dropdown to select from among your pre-built audiences. Click New audience at the bottom of the dropdown menu if you need to build a new one and you will be directed to the audience builder.
This step is required for standalone Experiences, such as a one-off email campaign or a seasonal ad promotion. Once you have selected an audience, Potential Reach displays how many people will be eligible to receive this Experience.
Experiences part of a Goal
This step is optional if your Experience is part of a Goal on the Lytics Canvas. Here you can add additional filtering to your Experience. Any audience you choose will be combined with the Stage audience, resulting in a more targeted Experience with a smaller audience. You can also leave this blank if you don't want additional targeting.
The Potential reach displays how many people will be eligible to receive this Experience. The Stage coverage metric displays what percentage of the stage will be eligible to receive this Experience.
Adjusting your Target
If your Experience is not providing the desired results, you can pause your Experience and target a new audience. Just keep in mind that the metrics are for the Experience and won't explicitly indicate changes you made. You can also make changes directly to the target audience, and the potential reach of the Experience will be adjusted automatically.
Finding the Right Fit for Your Content
When creating a new Recommend Content Experience, you will see a content alignment score in the Target Audience step of the Experience Editor. Lytics calculates the alignment percentage by comparing the affinities of your target audience to the affinities in your selected content collection.
Use the alignment score information to ensure you are recommending content or products that are relevant for your customers, which can help improve engagement and conversion rates of your marketing campaigns.
For a quick demonstration of using the affinity alignment score while building a content recommendation, watch this video.