THE VICTORY DIFFERENCE
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comprehensive analysis
POLLING DONE RIGHT
Our dedication to algorithms and automation allows us to drive down costs while providing groundbreaking insights for your campaign.
A LEGACY OF SUCCESS
Years of experience in leveraging data to win races has taught us that making intelligent, well-timed, and data-driven decisions is what differentiates winning campaigns from losing campaigns.
BREAKING NEWS

FOR IMMEDIATE RELEASE March 24, 2025 Contact: Victory Insights [email protected] (929) 388-6585 Victory Insights Wins "Best Innovation in Survey Research" at 2025 Reed Awards Austin, TX – Last week, the political media outlet Campaigns & Elections hosted the 2025 Reed Awards, dubbed "The Political Campaign Industry Event of the Year," in Austin, Texas. At this event, Victory Insights was presented with the "Best Innovation in Survey Research" award. Our firm was honored with this prestigious award in honor of our innovative Poll Dashboard, which has revolutionized the way poll results are presented to clients. Using an interactive dashboard and a conversational AI agent with deep knowledge of the poll results, Poll Dashboard represents the first major rethinking of survey deliverables in the industry's century-long history. Poll Dashboard was rolled out to a select number of clients in 2024 and is already being deployed in a more extensive fashion in 2025. Furthermore, Poll Dashboard is constantly being improved upon, and is only one of many cutting-edge internal tools developed by Victory Insights. We were founded with the promise of spurring innovation in the slow-to-innovate political polling industry, and this award is proof that we're delivering on that promise. ###

FOR IMMEDIATE RELEASE April 25, 2024 Contact: Victory Insights [email protected] (929) 388-6585 Victory Insights Wins "Best Use of Data Analytics and Machine Learning" at the 2024 Pollie Awards Washington, DC – Last week, the American Association of Political Consultants hosted the 2024 Pollie Awards in Washington, DC. At this event, Victory Insights was awarded 1st place in the "Best Use of Data Analytics and Machine Learning" category. Our firm was honored with this prestigious award as a result of our groundbreaking campaign data management software, called Campaign Dashboard. Throughout the 2023 election cycle, Campaign Dashboard was used in dozens of campaigns to synthesize regular voter data with up-to-date on-the-ground data from polls, web forms, door-to-door campaigning, and more. Additionally, our software provides users with integrated AI chat functionality to pull outreach lists, analyze data, and receive campaign strategy recommendations driven by machine learning. Innovation is at the heart of everything we do. We were founded with the intention of shaking up the political polling industry, and that's exactly what we've done. We look forward to continuing to innovate how data is collected, analyzed, and utilized in the political industry. ###

General elections are frequently discussed, but rarely understood. Commentary about general election outcomes often resorts to pointing fingers and saying “I told you so,” instead of focusing on available data and objective facts. We believe that the largest contributing factor to this unfortunate phenomenon is the lack of a data-driven model capable of explaining general election outcomes. For this reason, we’ve developed such a model. This model can be expressed in two different ways: (1) qualitatively in a three-layer model for abstract discussion, and (2) formulaically for precise calculations. Let’s start with the qualitative three-layer model. As shown in the diagram below, the base of this model is Voter Registration, followed by Turnout, and finally topped with Support.

In mid-May of this year, Florida politicos on both sides of the aisle turned their attention towards Duval County, where the race for Jacksonville Mayor was coming down to the wire. Despite the fact that Democrats made up 4.3% more of the registered voter base than Republicans in Jacksonville, Republican turnout exceeded Democratic turnout by 3.2% by the end of Election Day. With turnout numbers tilted in their favor, Republicans were hopeful that their nominee, Daniel Davis, would come out victorious. That didn’t happen. Instead, Democrat Donna Deegan won with 52.1% of the vote, besting Davis’s 47.9%. Despite strong Republican turnout – bolstered by the Florida GOP’s get-out-the-vote efforts – the Republican candidate had lost, and many on the right were left scratching their heads and asking, “What went wrong?” In this article, we’ll be answering that question through the lens of the Victory Formula, a model developed by our team for the purpose of understanding general election outcomes. If you’d like to take a deeper dive into this formula, you can read this article explaining how it works. But for our purposes today, all you need to know is that the formula takes in nine variables (three about voter registration, three about turnout, and three about support for each candidate), and produces the exact margin by which a Republican candidate wins (or loses) a head-to-head general election. Since the election in Jacksonville has already happened, we were lucky enough to have exact final numbers for voter registration and turnout, meaning all that’s left for us to understand is the layer we refer to as “support.” This layer has three simple variables: Republican loyalty, Democratic loyalty, and nonpartisan loyalty. Republican loyalty refers to the percentage of Republican turnout that resulted in votes for the Republican candidate. For instance, if 100 Republicans voted in the election, but only 75 of them voted for the Republican candidate, then Republican loyalty would be 75%. Democratic loyalty refers to the same concept, just on the Democratic side. And finally, nonpartisan loyalty simply refers to the percentage of the nonpartisan/third-party that went to the Republican candidate. None of these variables can be found in the election result data. Instead, we must use the Victory Formula to make inferences about their values, and from there, draw conclusions about why the race ended up the way it did. But there’s an issue: with three unknown variables, there are many different combinations that could result in Deegan’s 4.2-point victory. In fact, these potential “solutions” can be mapped out on a three-dimensional surface: