Choose who reacts before you run.

An audience is a description the panel pipeline recruits against. Start from a curated pack, tweak it, or write and save your own — saved audiences live on this device and drop straight into the run builder.

Your audiences

Saved on this device, editable any time, reusable across runs.

Georgia U.S. Senate persuasion electorate for competitive statewide message testing. Build a soft-Republican, true-independent, and weak-partisan suburban panel concentrated around Cobb, Gwinnett, Cherokee, Forsyth, and nearby Atlanta exurban counties. Weight toward college-educated suburban women 35-55, AAPI and Latino suburban voters, small-business owners, healthcare-cost-sensitive families, and voters who split tickets or dislike national political chaos. Include skeptical respondents who are open to healthcare, cost-of-living, infrastructure, and competence arguments but react badly to vague anti-Trump language, partisan scolding, or unsupported credit-taking. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Georgia U.S. Senate base-mobilization panel for GOTV and fundraising message testing. Build a likely-Democratic but turnout-variable electorate: Black voters, especially women 25-55; young voters 18-29; Latino voters in Gwinnett and metro Atlanta; AAPI Democrats; union households; healthcare workers; public-school families; and small-dollar Democratic donors. Include low-propensity supporters who need a concrete reason to vote, donate, volunteer, or share, plus highly engaged Democrats who will notice weak proof or generic national copy. Measure urgency, trust, fatigue, and action likelihood separately; a high agreement score is not enough if the message does not move action. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Georgia statewide Democratic message-clearing panel for testing party-level and down-ballot themes before candidates spend on ads, fundraising emails, debate lines, and GOTV copy. Represent the statewide Democratic coalition plus marginal persuadables: Black voters, suburban women, Latino and AAPI voters in fast-growing metro counties, young voters, union and public-sector households, rural Democrats, moderate independents, and down-ballot swing-district voters. Include variation by turnout propensity, local-candidate familiarity, media diet, and trust in the state party. The panel should flag whether tying a local candidate to statewide/national party identity helps, hurts, or distracts. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Georgia engagement panel focused on young Black men 18-35 who may value democracy and economic fairness but feel unseen, over-targeted late, or spoken about rather than listened to. Include college students, trade workers, barbershop and service workers, gig workers, young fathers, creatives, faith-adjacent voters, non-college men, and politically skeptical but community-rooted respondents across Atlanta, Augusta, Savannah, Macon, Columbus, and smaller Georgia cities. Media diets should include YouTube, podcasts, group chats, sports media, Instagram, TikTok, local influencers, and family/community messengers. Prioritize respect, proof, year-round presence, economic agency, safety, and whether the message sounds like a campaign parachuting in. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Early-state Democratic presidential primary electorate for national candidate message testing. Build a panel across New Hampshire, South Carolina, Nevada, California, and other early-primary/high-influence Democratic states. Include progressive women 30-55, college-educated suburban Democrats, Black Democratic primary voters, organized-labor Democrats, climate voters, younger anti-Trump voters, pragmatic Biden coalition voters, and donors/activists who follow national politics closely. Probe democracy-protection, anti-Trump contrast, national-security credibility, affordability, and whether home-state governing-record baggage weakens trust. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

National general-election electability panel for message testing with swing and ticket-splitting voters. Concentrate on Pennsylvania, Michigan, Wisconsin, Arizona, Nevada, Georgia, and North Carolina voters who are independent, weak partisan, suburban, working-class, or ticket-splitting. Include voters who dislike Trump but are uncertain about the candidate's governing record, cost of living, homelessness, crime perception, taxes, and elite cultural style. Score anti-Trump contrast against affirmative economic and competence messages; surface where a governing-record objection overwhelms the intended frame. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Opposition-inoculation panel for testing responses to candidate attacks before they harden into voter impressions. Recruit primary voters, general-election swing voters, low-information moderates, and politically attentive critics who have already heard attacks about affordability, homelessness, crime perception, taxes, elites, pandemic decisions, and national ambition. The panel should not be friendly by default; it should stress-test credibility, evidence, tone, and whether a rebuttal sounds defensive. Measure which proof points restore trust, which phrases sound evasive, and when pivoting to Trump or democracy makes the objection worse. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Georgia exurban state House Republican primary electorate for local message testing. Build a low-turnout, deeply local GOP primary panel: conservative homeowners 35-70, small-business owners, churchgoing families, retirees, parents concerned about schools, public-safety voters, growth-and-development skeptics, tax-sensitive exurban voters, and long-time residents who notice outsider language quickly. Include both MAGA-aligned and chamber-of-commerce Republicans, plus practical local conservatives who care more about growth, roads, schools, public safety, and property taxes than national slogans. The national Americans panel is not calibrated enough for this district; prioritize district-specific source data whenever available. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Georgia exurban state House general-election expansion panel for cross-aisle testing. Recruit soft Democrats, independents, newer subdivision homeowners, school-focused parents, public-safety-minded moderates, and economically conservative but culturally less-MAGA voters. Test whether community-leader, business-operator, controlled-growth, schools, public safety, and property-tax language can expand beyond a Republican primary base without alienating it. Include newcomer vs. long-time resident tension, local trust networks, subdivision growth concerns, and skepticism toward generic partisan copy. Dataset requirement: ground panel creation in real source data whenever available, including campaign-supplied voter-file cuts, modeled scores, donor geography, canvass history, precinct returns, ACS/local profile data, FEC records, polling crosstabs, and local listening notes. Preserve supplied counts and ratios. If no real dataset or campaign source context is supplied, treat the pack as provisional synthetic calibration only; do not present it as accurate or representative, and surface the missing-data caveat in the report.

Software engineers, product managers, designers, and founders working in tech. Mix of senior ICs and managers across FAANG-scale companies, mid-stage startups, and remote-first shops. Skeptical of marketing copy, prefer substance over polish, comfortable with technical jargon, allergic to vague claims.

Bankers, traders, private equity, hedge fund, and corporate finance professionals. Analytical, status-aware, time-constrained. Skewed to NYC, Chicago, San Francisco, Boston, and London. Skeptical of unsupported claims, sensitive to ROI framing and credentialing signals.

US undergraduate students aged 18-22 across public and private schools, varied majors, regions, and socioeconomic backgrounds. Time-rich, cash-poor, social-media-native, deeply tuned to authenticity, allergic to anything that reads as a corporate ad.

Nurses, physicians, therapists, and clinical technicians across hospitals, clinics, and home health. Time-starved, evidence-driven, often burnout-adjacent. Skeptical of marketing claims unless backed by data; weight peer recommendations heavily.

Owner-operators of 1-50 person businesses across services, retail, trades, and food & beverage. Wear every hat, watch cashflow daily, outcome-obsessed. Distributed across the US; receptive to clear ROI and time-saving framing, suspicious of fluff.

US parents of children under 10, ages roughly 28-45. Mix of single-income and dual-income households, urban and suburban, varied incomes. Sleep-deprived, value-conscious on most things, risk-averse on anything touching their kids' health or safety.

Independent designers, writers, illustrators, photographers, and video editors. Project-based income, craft-focused, aesthetic-sensitive. Mix of creative cities (LA, NY, Brooklyn, Portland, Berlin) and remote. Strong opinions on visual quality and tone; allergic to inauthentic copy.

Retired or semi-retired Americans ages 62-78. Financially comfortable but cost-aware, value tradition and established brands, prefer straightforward language. Concentrated in Florida, Arizona, the Carolinas, and the Midwest. Tech-comfortable but not tech-native.

Directors and VPs of IT, operations, marketing, and finance at mid-market and enterprise companies. Procurement-aware, committee-driven, ROI-focused. Suspicious of vague benefits, demand specifics on integrations, security, and total cost of ownership.