Predictive Voter Modeling

How It Works

Survey

1,500+ voters surveyed

Real opinions, not assumptions

Profile

500+ data points matched

Demographics, psychographics, consumer behavior

Score

Every voter scored 0–100

Individual-level predictions

Activate

Targetable universes delivered

Mail, digital, phones, doors

From Sample to Universe

The model learns from 1,500+ — then scores everyone

Survey Sample

1,500+ voters surveyed

Target group identified by response pattern

Statistical
Modeling
Applied

Full Voter File

0

matching voters identified out of 650K in the electorate

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Target Segments

Example model types and scoring ranges

Persuadable Voters

Swing voters movable on your issues

040–65100

Message Movers

Most responsive to your specific messaging

055–80100

Issue Models

Pro-2A, pro-life, green energy, education

0varies100

Mobilization Targets

Supporters who need turnout motivation

070–95100

Opponent Soft Support

Opposition voters showing vulnerability

025–45100

The Process

Seven steps from conversation to deployed contact lists

1

Need Assessment

Understand key target groups, electorate dynamics, and priorities.

2

Research Design

Design a benchmark survey to capture attitudinal data from voters.

3

Data Collection

Multi-mode outreach for large samples — fast and cost-effective.

4

Benchmark Results

Polling report with crosstabs and regression analysis.

5

Model Engineering

Dozens of algorithmic approaches tested to find the perfect fit.

6

Accuracy Testing

Every model validated against the full sample before deployment.

7

Model Deployment

Strategic universes, contact lists, and ongoing data support.

What You Get

Example Model Output

What a deployed constituent model looks like — five actionable segments scored across the full voter file

0%

Democrat Base

Lean Democrat

Swing Voter

Lean Republican

Republican Base

Dem Base

0

individuals