Individuals who are considered Republican or Conservative based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model. This segment consists of individuals who score in low on the i360 National Partisan Model.

Individuals who are considered Democratic or Liberal based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model. This segment consists of individuals who score low on the i360 National Partisan Model.

Individuals who are considered Independent – leaning or “Swing” voters based on state registration, historical ID work and the i360 National Partisan Model. This segment consists of individuals who score in the mid or “swing” range on the i360 National Partisan Model.

Voters considered likely to turn out and vote in the 2024 election based on previous vote history as well as the i360 National Propensity Model.

Voters who have previously cast ballots via absentee mail or early in person and therefor are likely to do so again in upcoming elections. Data is based on state and municipal voter history records collected nationwide; as well as permanent absentee voting lists obtained at the state level and collected nationwide.

Voters considered likely to approve of Biden’s leadership of the country and execution of his role as President according to the i360 National Biden Approval Model.

Voters considered likely to disapprove of Trump’s leadership of the country and execution of his role as President according to the i360 National Trump Approval Model.

Voters considered likely to approve of Trump’s leadership of the country and execution of his role as President according to the i360 National Trump Approval Model.

Voters considered likely to disapprove of Biden’s leadership of the country and execution of his role as President according to the i360 according to the i360 National Biden Approval Model.

Individuals who support 2nd Amendment Rights. This segment is based on survey response data and/ or purchase/subscription information indicating an affinity towards firearms and 2nd Amendment Rights.

Individuals who have a high likelihood of opposing stricter gun control laws based on the i360 National Gun Control Model. This segment consists of individuals who score high on the i360 National Gun Control Model.

Individuals who have a high likelihood of supporting stricter gun control laws based on the i360 National Gun Control Model. This segment consists of individuals who score low on the i360 National Gun Control Model.

Voters considered likely to oppose the passage of School Choice education laws according to the i360 National School Choice Model.

Voters considered likely to support the passage of School Choice education laws according to the i360 National School Choice Model.

Voters considered likely to oppose parental involvement in education according to the i360 National Parental Involvement Model.

Voters considered likely to support parental involvement in education according to the i360 National Parental Involvement Model.

Voters who are less likely to prefer to live in a socialist country based on the i360 National Capitalism Model.

Voters who are most likely to prefer to live in a capitalist country based on the i360 National Capitalism Model.

Individuals who have a high likelihood of opposing major reforms to the criminal justice system based on the i360 National Criminal Justice Model. This segment consists of individuals who score low on the i360 National Criminal Justice Model.

Individuals who have a high likelihood of supporting major reforms to the criminal justice system based on the i360 Criminal Justice Model. This segment consists of individuals who score high on the i360 National Criminal Justice Model.

Individuals who have a high likelihood of supporting police funding based on the i360 Police Funding Model. This segment consists of individuals who score high on the i360 Police Funding Model.

Individuals who have a high likelihood of supporting police defunding based on the i360 Police Funding Model. This segment consists of individuals who score low on the i360 Police Funding Model.

Individuals who have a high likelihood of being fiscally conservative on the issues of spending and debt. This segment consists of individuals who score high on the i360 National Spending Model.

Individuals who have a high likelihood of being fiscally liberal on the issues of spending and debt. This segment consists of individuals who score low on the i360 National Spending Model.

Individuals who have a high likelihood of supporting the 2017 tax reform bill. This segment consists of individuals who score high on the i360 National Tax Model.

Individuals who have a high likelihood of opposing the 2017 tax reform bill. This segment consists of individuals who score low on the i360 National Tax Model.

Individuals who have a high likelihood of agreeing that government’s number one priority should be protecting the environment as opposed to affordable and reliable energy based on the i360 National Energy Model. This segment consists of individuals who score low on the i360 National Energy Model.

Individuals who have a high likelihood of agreeing that government’s number one priority should be affordable and reliable energy as opposed to protecting the environment based on the i360 National Energy Model. This segment consists of individuals who score high on the i360 National Energy Model.

Voters who are unlikely to think the federal government should spend trillions of dollars on renewable energy based on the i360 National Climate Change Model.

Voters who are likely to think the federal government should spend trillions of dollars on renewable energy based on the i360 National Climate Change Model.

Voters considered likely to support the DACA policy according to the i360 National DACA Model.

Voters considered likely to oppose the DACA policy according to the i360 National DACA Model.

Voters considered likely to support the government’s prioritization of building a border wall between the United States and Mexico according to the i360 National Border Wall Model.

Voters considered likely to oppose the government’s prioritization of building a border wall between the United States and Mexico according to the i360 National Border Wall Model.

Voters considered likely to oppose the passage of Right to Work laws according to the i360 National Right to Work Model.

Voters considered likely to support the passage of Right to Work laws according to the i360 National Right to Work Model.

Individuals who have a high likelihood of opposing a minimum wage increase by government based on the i360 National Minimum Wage Model. This segment consists of individuals who score high on the i360 National Minimum Wage Model.

Individuals who have a high likelihood of supporting a minimum wage increase by government based on the i360 National Minimum Wage Model. This segment consists of individuals who score low on the i360 National Minimum Wage Model.

Individuals who likely oppose Obamacare or the Affordable Care Act based on the i360 National Healthcare Model. This segment consists of individuals who score high on the i360 National Healthcare Model.

Individuals who likely are in favor and support Obamacare or the Affordable Care Act based on the i360 National Healthcare Model. This segment consists of individuals who score low on the i360 National Healthcare Model.

Individuals who are likely undecided or persuadable on issues related to Obamacare or the Affordable Care Act based on the i360 National Healthcare Model. This segment consists of individuals who score in the mid or “swing” range on the i360 National Healthcare Model.

Individuals who have a high – likelihood of being pro- choice based on the i360 National Life Model. This segment consists of voters and consumers who score low on the i360 National Life Model.

Individuals who have a high- likelihood of being pro- life based on the i360 National Life Model. This segment consists of voters and consumers who score high on the i360 National Life Model.

Individuals who have a high- likelihood of supporting same sex marriage based on the i360 National Marriage Model. This segment consists of voters and consumers who score low on the i360 National Marriage Model.

Individuals who have a high- likelihood of supporting traditional marriage based on the i360 National Marriage Model. This segment consists of voters and consumers who score high on the i360 National Marriage Model.

Voters considered likely to believe Free Trade Agreements have been bad for the United States according to the i360 National Free Trade Model.

Voters considered likely to believe Free Trade Agreements have been good for the United States according to the i360 National Free Trade Model.

Individuals likely to use social media daily based on the i360 National Social Media Model. This segment consists of individuals who score high on the i360 National Social Media Model.

Individuals identified as not likely to use social media based on the i360 National Social Media Model. This segment consists of individuals who score low on the i360 National Social Media Model.

Individuals likely to watch television daily based on the i360 TV Model. This segment consists of individuals who score high on the i360 National TV Model.

Individuals not likely to watch television according to the i360 National TV Model. This segment consists of individuals who score low on the i360 National TV Model.

Individuals likely to choose streaming over traditional television and stream daily based on the i360 National Traditional vs. Streaming Model and i360 National Streaming Model. This segment consists of individuals who score high on both the i360 National Traditional vs. Streaming Model and the i360 National Streaming Model.

Individuals likely to choose streaming over traditional television based on the i360 Traditional vs. Streaming Model. This segment consists of individuals who score high on the i360 National Traditional vs. Streaming Model.

Individuals not likely to stream video content based on the i360 National Streaming Model . This segment consists of individuals who score low on the i360 National Streaming Model.

Individuals likely to stream video content daily based on the i360 National Streaming Model and not likely watch traditional television based on the i360 Traditional vs. Streaming Model and i360 National TV Model. This segment consists of individuals who score high on the i360 National Streaming Model, high on the i360 National Traditional vs. Streaming Model and low on the i360 National TV Model.

Individuals identified as likely to stream video content based on the i360 Streaming Model. This segment consists of individuals who score in the mid to high range on the i360 National Streaming Model.

Individuals identified as likely to stream media daily based on the i360 National Streaming Model. This segment consists of individuals who score high on the i360 National Streaming Model.

Individuals identified as likely to read the newspaper based on the i360 Print Model. This segment consists of individuals who score high on the i360 National Print Model.

Individuals identified as not likely to read the newspaper based on the i360 National Print Model. This segment consists of individuals who score low on the i360 National Print Model.

Individuals who are likely to be Swing Democratic voters based on the i360 National Partisan Model. These voters tend to lean toward Democratic or Liberal issues and ideas, but not consistently, and are therefore a key segment for persuasion. This segment consists of individuals who score in the low to mid-range on the i360 National Partisan Model.

Individuals who are likely to be Swing Republican voters based on the i360 National Partisan Model. These voters tend to lean toward Republican or Conservative issues and ideas, but not consistently, and are therefore a key segment for persuasion. This segment consists of individuals who score in the mid to high range on the i360 National Partisan Model.

Voters who likely have a low support of Trump’s leadership of the country and execution of his role as President based on the i360 National Trump Approval Model and are likely Conservative based on the i360 National Partisan Model.

Voters who likely have a high support of Trump’s leadership of the country and execution of his role as President based on the i360 National Trump Approval Model and are likely Liberal based on the i360 National Partisan Model.

Voters who are likely to split across partisan lines on presidential job approval and generic congressional ballot support based on the i360 National Ticket Splitter Model and likely have a high support of Trump’s leadership of the country and execution of his role as President based on the i360 National Trump Approval Model.

Voters who are likely to split across partisan lines on presidential job approval and generic congressional ballot support based on the i360 National Ticket Splitter Model and likely have a low support of Trump’s leadership of the country and execution of his role as President based on the i360 National Trump Approval Model.

Voters who are likely to split across partisan lines on presidential job approval and generic congressional ballot support based on the i360 National Ticket Splitter Model.

Voters who are unlikely to split across partisan lines on presidential job approval and generic congressional ballot support based on the i360 National Ticket Splitter Model.

Individuals who are likely to be decided or committed voters to either Republican or Democratic candidates and issues based on the i360 National Undecided Model. Segment valuable for exclusion purposes. This segment consists of individuals who score either low or high on the i360 National Undecided Model.

Individuals who are likely to be Undecided voters, based on the i360 National Undecided Model, but lean more toward Democratic candidates and issues. This modeled segment isolates those voters who are likely to not be committed to a specific category of candidate or issue and are therefore a key segment for persuasion. This segment consists of individuals who score in the low to mid-range of the i360 National Undecided Model.

Individuals who are likely to be Undecided voters, based on the i360 National Undecided Model, but lean more toward Republican or Conservative candidates and issues. This modeled segment isolates those voters who are likely to not be committed to a specific category of candidate or issue and are therefore a key segment for persuasion.
This segment consists of individuals who score in the mid to high range of the i360 National Undecided Model.

Individuals who are likely to be Undecided voters, based on the i360 National Undecided Model. This modeled segment isolates those voters who are likely to not be committed to a specific category of candidate or issue and are therefore a key segment for persuasion. This segment consists of individuals who score in the mid-range of the i360 National Undecided Model.

Individuals who are registered to vote and who have voted in one or more recent primary elections and are considered Democratic / Liberal voters based on state party registration, partisan primary ballot voting.

Individuals who are registered to vote and who have voted in one or more recent primary elections and are considered Republican / Conservative voters based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model.

Individuals who have voted in one or more recent primary elections based on state and municipal voter history records collected nationwide.

Voters who voted for the first time in the 2020 Election, with no prior vote history available. Voters are likely to have been newly registered.

Voters who only turn out in Presidential Year elections based on previous vote history as well as the i360 National Propensity Model.

Voters considered likely to express a high level of enthusiasm about votin in the 2024 election according to the i360 National Enthusiasm Model.

Voters considered likely to express a low level of enthusiasm about voting in the 2024 election according to the i360 National Enthusiasm Model.

Voters who have a high- likelihood of voting in 2024. This segment consists of voters who score high on the i360 National Voter Propensity Model.

Voters who have a medium- likelihood of voting in 2024. This segment consists of voters who fall in the middle ranges of the i360 National Voter Propensity Model.

Voters who have a low- likelihood of voting in 2024. This segment consists of voters who score low on the i360 National Voter Propensity Model.

Individuals who are considered Republican or Conservative based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model and have a low likelihood of voting based on the i360 National Propensity Model.

Individuals who are registered to vote in the state in which they reside. Collected nationwide and at the state and municipal levels.

Individuals who are newly registered voters in the state in which they live (in the last 2 years).

Individuals who are US consumers, 18 years of age or older, NOT registered to vote and are ranked high on the i360 National Partisan Model and therefore are likely to vote as Conservatives if registered.

Individuals who are US consumers, 18 years of age or older and NOT registered to vote.

Individuals likely to state that “Energy” or the “Environment” is in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “Healthcare” is in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “Education” is in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “Social Issues” are in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “Taxes and Debt” are in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “Immigration” is in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “National Defense” is in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.

Individuals likely to state that “Gun Control” is in their top three issues in deciding who to support for President of the United States based on the i360 National Issue Cluster Model.