Campaign Dashboard

Real-time overview of district performance and strategic metrics

Current Win Probability
--
+5.2% vs. baseline
Expected Margin
--
±2.1% (95% CI)
High-Value Precincts
--
Top quartile by net value
Voter Contact Target
--
Doors + phones
District Map - Partisan Lean (PVI)
Demographic Breakdown
Win Probability Over Time

Demographic Segmentation

Analyze voter universe by age, education, race, income, and geography

Segmentation Controls
Targeting Matrix
Segment Size Turnout Rate Partisan Lean Persuadability Strategy
Run segmentation to populate table

Precinct-Level Analysis

Deep dive into precinct metrics, clustering, and strategic prioritization

Analysis Level: This module computes PVI, swing scores, elasticity, turnout metrics, and strategic value for every precinct.
Analysis Parameters
PVI vs. Swing Score (by Cluster)
Precinct Priority Ranking
Top 20 Precincts by Strategic Value
Rank Precinct PVI Swing TO Delta Net Value Tier
Run analysis to populate table

Monte Carlo Simulation

Run thousands of election simulations to estimate win probability and margin distribution

Simulation Parameters

Running simulation...

Win Probability
--
Expected Margin
--
Recount Probability
--
Margin Distribution (10,000 Simulations)

Scenario Builder

Model "what if" scenarios with demographic shifts, turnout changes, and third-party effects

Build Scenario

Turnout Adjustments (by demographic)
Partisan Shifts (by demographic)
Scenario Comparison

Voter Targeting

Build persuasion and mobilization universes with data-driven segment prioritization

Build Universe
Universe Size
--
Contact Rate Goal
--
Estimated Vote Yield
--
Segment Performance

GOTV Planning

Optimize canvass turf, phone banks, and volunteer deployment

GOTV Window: Most effective in final 10-14 days. Focus on identified supporters only.
Resource Allocation
Recommended Precinct Allocation
Priority Precinct Doors Phone Attempts Vol. Hours Est. Votes
Run optimization to generate allocation

Messaging Strategy

Issue salience mapping and message-to-market fit analysis

Issue Priorities by Segment
Issue Young Urban Suburban Swing Rural Senior Overall
Economy/Jobs Medium Very High Very High Very High
Healthcare High High Very High High
Abortion/Reproductive Rights Very High High Low High
Immigration Low Medium Very High High
Climate/Environment Very High Medium Low Medium
Education Medium Very High Medium High
Strategy Recommendation: Lead with economy/jobs for suburban swing voters. Layer in healthcare for seniors. Use abortion rights to mobilize young urban base. Avoid immigration emphasis with young voters.

Election Forecasting

Bayesian model with polling integration and early vote tracking

Model Inputs

Add recent polls to update the forecast

Track early/mail ballots returned

Current Forecast

52.3%

Win Probability

D+1.8

Expected Margin

85%

Model Confidence

Democrat 52.3%
Republican 47.7%

Data Upload & Management

Import voter files, election results, demographics, and precinct shapefiles

Upload Election Results
Drag & Drop or Click to Upload

CSV, Excel, TXT (precinct-level results)

Upload Voter File
Drag & Drop or Click to Upload

CSV, Excel (L2, TargetSmart, VAN export)

Upload Demographics
Drag & Drop or Click to Upload

CSV, Excel (Census ACS tables)

Upload Precinct Boundaries
Drag & Drop or Click to Upload

GeoJSON, Shapefile (VEST, TIGER/Line)

Loaded Datasets
Sample District Data - 10 precincts, 2020-2024 results
No voter file loaded
No demographic data loaded

Export & Reports

Download analysis results, visualizations, and campaign reports

Available Exports
Precinct-Level Analysis (CSV)
All computed metrics, PVI, swing, turnout, strategic values
Voter Targeting Matrix (Excel)
Segment-by-segment breakdown with strategies
Monte Carlo Results (JSON)
Full simulation output with margin distribution
Interactive Maps (HTML)
Standalone HTML files with all visualizations
Campaign Strategy Report (PDF)
Executive summary with recommendations
GOTV Turf Packets (Printable)
Walk lists by precinct with maps