Geography State Attributes vs Resonate Elements State Attributes

Resonate offers Geography State data at a scale unmatched in our industry. This data is refreshed daily to help you better understand where your audiences are best represented across the United States. You can combine and analyze Geography State data with other attributes in the platform or view it as insights against your digital footprint to identify geographic patterns and opportunities. 

If you have access to both our Geography State attributes as well as our Resonate Elements State attributes, you can confidently use both data types for sizing. 

 Our analyses show that while small variations may exist, the two data sets are generally well aligned at the state level.

These differences occur because the two sources are built differently:

• Geography State data comes from our geographic modeling, which provides granular and scalable insight into audience distribution.
• Resonate Elements State and Region data come from our U.S. Consumer Study (USCS), which is survey-based and weighted to represent the U.S. adult online population.

Why provide the Two Types?

There are a few reasons we're providing more than one type of Geography data to you:

Resonate Elements State and Region data come from our U.S. Consumer Study and are survey-based, weighted to represent the U.S. online adult population. This data is ideal when you need representative audience sizing or want to project your audience insights to the broader population. Because these attributes are Limited (each respondent selects one of 51 state options), they cannot be modeled for Connected Profile audiences, which means you won’t see State insights available for those audience types.

Geography State data, on the other hand, is modeled from IP-based geographic information and refreshed daily to reflect where audiences are best represented. Unlike the survey-based data, Geography State data is not weighted to population benchmarks, so while it provides highly granular insights and activation-ready reach (via Estimated Targetable IDs), it should not be used for projected population counts. Small differences between the two data sources are expected and reflect their distinct methodologies—weighted survey projections versus modeled IP-based geography.

To learn more about how to apply Geography Data for deeper audience insights and activation planning, explore our article on using address-based geography in the Resonate Platform.