Whether you are working to build a winning campaign or a successful product launch, we can help you find the key motivators in your target audience. Don’t talk abstractions or count on “e-mail blasts” and broad messages, talk directly to individuals about what matters most to them.

Our databases have the most up-to-date information about what will move your cause forward. See examples of how we segment large populations into targeted groups ready to hear your message using the chart and map below.

Pick a state and see how many people have left cable behind, or are online activists.

WPA Intelligence Data Dictionary

WPA Intelligence has developed models and modeled audience tags for voters across the country. Every universe defined below can be subset according to any demographic group or political geography, from gender and age group to state, Congressional District, and State Legislative District. These universes can also be combined with each other for richer targeting – for example, offline activists who want to Replace Obamacare.

This data dictionary is intended to provide a list of available audiences with brief definitions.


Using the consumer data enhanced national voter file, likely support for several major issues has been modeled among registered voters across the country, beyond likely Republican primary voters. Ratios of support to opposition on these issues help inform decision makers’ understanding of the electorate.


The first of these models were developed to address the exploding population of likely “cord cutters” – i.e., individuals who opt out of traditional cable television contracts and are better reached by internet based advertising. The second two segments identify individuals likely to be politically active on issues they care about, and whether they prefer to be active online or offline. The last six groups are based on weekly radio habits. None of these audiences are specific to Republicans.


These segments exist among Republican primary voters as well as registered voters making up the general potential electorate.


Likely Republican primary voters were modeled based on their likely self-identification of social, economic, and religious affiliations. For example, social conservatives were classified as Evangelical if they were more than 70 percent likely to self-identify as “Evangelical or Born Again Christian” in a survey, and then further segmented by support for the Tea Party. The not socially conservative group was classified as conservative on economic issues or not.


Likely Republican primary voters were also modeled based on their issue alignment and priorities. Individuals in the segments below are much more likely to support a candidate after hearing the candidate is aligned with them on the issue described. These segments are not available in every state.