Methodology

Methodology behind CA Voter filters and signals.

CA Voter is designed so campaign operators can inspect how a segment was built before they act on it. The methodology is intentionally practical: visible inputs, conservative defaults, and workflows that stay tied to real California campaign operations.

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Design principles

The product is built around inspectable campaign logic. A candidate, consultant, or field lead should be able to understand why a voter is in a segment, how a score is being used, and whether the final universe is appropriate for the outreach plan.

That means CA Voter prefers visible filters and understandable ranking signals over opaque black-box scoring claims.

  • Visible filter inputs and segment counts
  • Transparent turnout-oriented ranking signals
  • Probabilistic demographic planning signals, not identity claims
  • Conservative handling when data is incomplete or uncertain

Turnout and prioritization signals

The turnout workflow is meant to rank campaign effort, not predict support. Current signals emphasize participation history, then apply smaller adjustments from features such as age range, permanent vote-by-mail status, registration status, and registration recency.

Campaigns should treat the score as a planning aid for canvassing, mail, phones, and volunteer work, not as a guarantee of future behavior.

Modeled outreach signals

CA Voter can use BISG-style methods to estimate broad race and ethnicity probabilities for outreach planning when self-reported information is not available in the voter file. These are probabilities informed by surname and geography, not statements of personal identity.

That signal is useful for bilingual planning, community outreach, and segment review, but it should be used with care and local context.

List construction and exports

Segments are built from campaign geography, voter-file fields, turnout-oriented scoring, and related workflow filters. The product shows counts before export so the team can compare alternatives before money or volunteer time is committed.

Exports remain portable by design. CA Voter focuses on the voter-data layer and leaves downstream execution to the rest of the campaign stack.

Private beta

Need California voter data workflows for a real campaign?

Join the waitlist for eligibility review, pricing, and onboarding for qualified California campaigns and political users.

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Questions

Does CA Voter produce support scores?

No. CA Voter focuses on turnout, segmentation, and outreach planning signals. It does not claim to know whether a voter supports a candidate or measure.

Can campaigns review the logic before using a segment?

Yes. The product is designed to keep the filters, counts, and score context visible enough for campaign review before export.

Explore more

Compare county coverage, contest types, and campaign workflows through the pages below.

BISG GuideWhat BISG means in campaign voter data.Plain-language guide to BISG, why campaigns use it as an outreach-planning signal, and how CA Voter treats it as probability rather than identity.Turnout GuideWhat turnout propensity means in campaign targeting.Plain-language guide to turnout propensity, how campaigns use it to prioritize outreach, and how CA Voter turns voting history into an inspectable ranking signal.BISGBISG ethnicity scoring with visible methodology.Understand how CA Voter uses BISG-style ethnicity scoring as an explainable planning signal for California campaign outreach.TurnoutTurnout propensity scoring that campaign teams can inspect.Use voter turnout propensity scoring to rank California field, mail, and volunteer outreach with transparent campaign signals.SegmentationCampaign segmentation for practical California outreach.Build California campaign segments from voter-file filters, turnout propensity, geography, party, and modeled outreach signals.Data SourcesData sources behind CA Voter.Overview of the California voter file, public reference datasets, campaign-provided inputs, and product metadata used in CA Voter.

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