Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Daines doesn’t care about working people in Montana.
Ad copy
Daines does nothing but grow government overreach and cut opportunity, not defend every hard-working Montanan’s right to healthcare and one good job. I’m no stranger to hard work but Daines? He’s never got his hands dirty. He sits high in his office doing nothing and looks down on the working people in our state. Republicans simply won’t defend working people or women’s healthcare. It’s time to #FireDaines #ReillyforMontana #SecondWoman #FireDainesFriday
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 0.3 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | — |
| Days live | 2 (2025-12-08 → 2025-12-10) |
| Created | 2025-12-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | none |
| Standout element | Selfie-style video in snowy Montana outdoors projecting grassroots authenticity against Daines' perceived elitism |
| Tactic | The ad uses a direct-to-camera selfie format to contrast Reilly Neill's everyman relatability with opponent Daines' alleged out-of-touch elitism, leveraging class-based anger and healthcare concerns to drive anti-Daines sentiment. |
Where it ran (delivery by region)
| California | 7.6% |
| Florida | 5.5% |
| Texas | 4.8% |
| Ohio | 4.5% |
| Michigan | 4.4% |
| Minnesota | 3.9% |
| Illinois | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 6.6% |
| 65+ · male | 39.6% |
| 65+ · female | 16.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 24.9% |
| 55-64 · female | 5.7% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.4% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.3% |
| 35-44 · female | 0.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.9% |
| 25-34 · female | 0.3% |
| 65+ · unknown | 0.3% |
