When you create a survey, there is an audience tab that includes a pre-set gen-pop US domestic audience:
Each survey requires one or more audiences, and these will define the respondents who will take your survey. Audiences typically have the following fields:
The target number of respondents.
The language to use for the survey.
The country or market in which the survey will be fielded.
A name to identify the audience.
A definition to show the percentage of each of the different demos you'd like to have in the audience. Suppose the final number of respondents doesn't precisely match this distribution. In that case, the platform will automatically weight the results to adjust so your survey results will always be 100% representative of the audience you desire.
Different kinds of audiences
There are three different kinds of audiences: panel audiences, basic audiences, and first-party audiences:
The platform automatically sources panel audiences.
Basic audiences can be used on the Team or Enterprise plans, allowing custom integration with your sample provider.
First-party audiences, also available on the Team or Enterprise plans, are used to survey your customer base.
For the panel audiences, you can choose from several different templates that represent an audience you might use or create your own:
You can get instructions on using your sample provider in this article.
Adding boost audiences
Sometimes, you might want to augment a specific audience with more respondents of a particular kind without skewing the overall results. To do this, you create a new audience with the required distribution and specify that it should be weighted to the main audience you have set up.
If you look at the example below, we have boosted the audience of African Americans as follows:
The audience definition specifies only African Americans and a lower percentage of Hispanics.
The weighting audience is set to the primary audience, "US Genpop".
This will give us an additional 300 responses in the African American group, which will greatly increase the statistical significance of results within this group without impacting the overall distribution of results in the survey.
