A panel read is only as good as what anchors it. Attach the data sets your campaign has — voter file cuts, election returns, polling, field notes — and the panel reads your message against them instead of guessing.
Attach what your campaign has. Each data set adds a grounding requirement to the run; you paste the actual numbers or notes in step 2 of the builder. Attach any combination, then start the run.
Voter-file cuts, modeled scores, turnout history, contact history, and district geography.
Preserves the real target universe instead of making the panel infer party mix, geography, turnout, or contact history from message text.
district · precinct · party / modeled score · turnout · contact history
Use aggregate or permissioned campaign data only. Do not paste private voter identities into the demo.
Modeled partisanship, issue scores, demographic priors, vote propensity, and persuasion universes.
Lets the run distinguish base, persuasion, primary, low-propensity, and issue-specific audiences without collapsing them into one generic voter group.
modeled party · vote propensity · issue scores · segments · geography
Treat modeled scores as priors, not facts about individual voters.
Statewide, county, district, precinct, and runoff baselines from election officials or vetted public datasets.
Grounds the message read in real partisan history and recent turnout context before a campaign uploads proprietary files.
vote totals · margins · turnout · precinct · year
Past returns explain context. They are not a turnout or persuasion forecast.
ZIP/ZCTA, county, district, and population-growth context from ACS and Census population estimates.
Shows whether the audience is stable, fast-growing, exurban, urban, older, younger, renter-heavy, owner-heavy, or otherwise demographically distinct.
population · growth · age · income · education · race / ethnicity
Aggregate demographics are recruitment context, not voter-file counts or individual preferences.
Registration, voting method, provisional ballot, mail ballot, and election-administration friction.
Improves GOTV, deadline, vote-method, and voting-process copy by accounting for registration and ballot-friction patterns.
registration · mail voting · provisional ballots · turnout · administration
Administration data explains process friction. It does not say how voters feel about the message.
Committee, contribution, spending, donor geography, amount band, and repeat-giving context.
Supports fundraising reads, opponent-money proof, small-dollar donor geography, and PAC or committee language.
committees · receipts · disbursements · donor geography · amount bands
Public finance records are not donor intent and should not stand in for the whole electorate.
Poll toplines, demographic crosstabs, issue salience, favorability, ballot, and message-test data.
Gives the read a known opinion baseline and highlights which groups already show issue demand, proof gaps, or trust risk.
toplines · crosstabs · issue salience · favorability · ballot
Include sample size, field dates, mode, and margin notes when available.
Door notes, phone-bank patterns, organizer feedback, recurring objections, and local proof gaps.
Makes the simulated voters react to the real objections and language organizers are hearing instead of generic national talking points.
objections · local language · proof gaps · issue priority · volunteer notes
Summarize themes and anonymize individual voter notes.
Donor segments, supporter history, email engagement, volunteer cohorts, and contribution patterns.
Improves fundraising, mobilization, volunteer, and base-activation reads by separating donors from persuadable voters.
donor tier · engagement · volunteer history · supporter segment · geography
Do not use supporter or donor data as a proxy for persuadable voters.
Local press clips, opposition research, fact checks, candidate biography, endorsements, and voting records.
Lets the run test whether claims feel supported, overreaching, locally credible, or vulnerable to rebuttal.
clips · quotes · records · endorsements · oppo claims
Separate sourced facts from claims the message wants voters to accept.
Replies, comments, DMs, search trends, creator discourse, and issue-language patterns.
Shows live phrasing, sarcasm, misinformation hooks, emotional triggers, and terms the campaign should avoid or reuse.
comments · replies · DM themes · search terms · misinformation hooks
Social volume is not representative opinion. Use it as language and objection discovery.
The default simulated American voter panel used before additional campaign data is supplied.
Provides broad message-risk coverage, voice diversity, and a baseline read when campaign data is incomplete.
age · region · occupation · values · media diet · voice
This is simulated baseline research. Mark campaign reads as provisional when no real source data is attached.