Why We Built Video Story Collection Into AdvocacyAI
Stories move legislation. The research on political persuasion is consistent: when policy arguments fail to change someone's mind, a personal story often does. We knew this when we built AdvocacyAI. It is why organizations collect stories in the first place. The problem is that collecting them is genuinely hard.
Why we built voter turnout into an advocacy platform
Run get-out-the-vote and voter registration programs from AdvocacyAI, in addition to your advocacy landing pages. Supporters verify their registration against their state's records, get their polling place and Election Day reminders, and every result lands on their record in your database.
Why we built message personalization
Legislative offices count identical form emails instead of reading them, and the facts that would make a message land sit unused in the organization's spreadsheets. We built personalization on three data layers: personas for who is writing, tracks for where each lawmaker stands, and the organization's own data about every district. Five hundred advocates click once and five hundred different emails arrive, each anchored in the sender's district and the lawmaker's record, with setup that takes a spreadsheet rather than a project.