Sentiment, persuasion, and engagement — modeled as probability.
Statewide and federal campaigns, PACs, and advocacy organizations use behavioral and sentiment intelligence to identify persuadable cohorts, predict turnout, and concentrate persuasion budget where it produces measurable shift.
What makes Political different.
Behavioral sentiment
Sentiment clustering at cohort level — far more actionable than topline polling.
Persuasion targeting
Identification of persuadable cohorts within engaged-electorate populations.
Turnout probability
Behavioral propensity scoring for voter turnout in a defined election.
Decay, velocity, and cost — measured.
Per-vertical curves derived from the platform's calibrated model output. Industry averages overlaid for reference.
Hours since first intent signal
Days from first contact
Traditional vs. predictive within the vertical
Inside a deployment
Statewide campaign realigns $4.6M media plan with behavioral sentiment intelligence
Behavioral sentiment clustering surfaced persuadable cohorts that traditional polling missed. Media plan was reallocated mid-cycle; engagement rose 38% and persuasion-target reach improved 2.3x.
Supporting research & guides
voter sentiment clustering
persuasion target modeling
turnout probability scoring
donor identification data
issue advocacy targeting
Common questions
Is this used for both campaigns and advocacy?+
Yes. Persuasion, GOTV, donor identification, and issue-advocacy organizations all use the same underlying intelligence stack.
Predictive intelligence · enterprise onboarding
Move from list-buying to probability-buying.
Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.