Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
Folks ask me what “A Different Kind of Dem” means. I’m not an establishment Dem. This is why. When candidates are picked in smoky back rooms by elites, this undermines democracy and reinforces corporate control. THIS is how we got to this place in American history. Money over sense. I don’t take corporate dollars. I don’t take AIPAC dollars. I work for working people and I trust in democracy. #FireDaines #ReillyforMontana
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 61.7 · 0.6 · 79.0 |
| Spend range | <USD 99 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 2.2 |
| Est. audience size | — |
| Days live | 3 (2026-01-16 → 2026-01-19) |
| Created | 2026-01-16 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | none |
| Standout element | Yellowstone National Park vintage poster as backdrop reinforcing Montana identity and authenticity |
| Tactic | The DIY selfie-video format and blunt, profanity-edged headline ('Stop f'n with my state') deliberately signal anti-establishment authenticity, distancing the candidate from polished party messaging to appeal to independent-minded Montana voters. |
Where it ran (delivery by region)
| California | 8.8% |
| Minnesota | 6.9% |
| Texas | 5.1% |
| Michigan | 4.8% |
| Washington | 4.5% |
| Florida | 4.2% |
| Pennsylvania | 4.1% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 7.0% |
| 65+ · male | 24.9% |
| 65+ · female | 23.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 18.6% |
| 55-64 · female | 12.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.8% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.5% |
| 35-44 · female | 2.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.2% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
