Feature Highlight: Quota Nesting

Get the exact respondents you need and with better accuracy using Quota Nesting. Introducing fielding evenly over time covers the next fielding control layer, Field Evenly Over Time (FEOT), which ensures those nested quotas are collected across the full field window rather than front-loaded on day one. When setting up a survey for launch, input all required respondent demographic information and nest them together. Collect precise and high-quality data with this smarter fielding method. 

How Quota Nesting works:

1. Set up respondent requirements in any category (demographic, region, advanced targeting, etc) that you need as quotas when creating your survey. Traffic channels: what and why you should be using them covers the fielding organization counterpart, how traffic channels keep those nested quota segments organized during live fielding by consolidating related project segments within the main project.
2. After those are set up either with custom requirements or with census data, scroll to the bottom left of your “Define Audience” page and select “Quota Nesting.” Any respondent requirement from any category can be nested together. Survey methodology: what you need to know to write great surveys covers how those quota design decisions connect to broader methodology choices, explaining how Gen Pop vs. targeted audience surveys require different quota structures to ensure the data supports the research objective.
3. All demographics with applied quotas will display in the model.
4. From here, you will be able to see the nested quotas organize as you click and apply them.
5. When you are satisfied with how the information will be collected, hit “Apply Nesting.” Your quotas will now display and field nested together. The order in which you select your options for nesting has an impact on the number of unique quotas. You can tune this for an extremely customized quota build.

Nesting breaks down each quota and can be applied to any number of any demographic requirements. Instead of managing different ages, gender, and region quotas independently, target for each individual and gather data to fill the specific needs of your unique research.