Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
When Women Rise, Power Shifts
Montanans already proved what happens when ordinary people organize. We changed the Constitution.
Ad copy
Entrenched political and financial systems know what happens when grassroots women organize. Power shifts. Not everyone who works hard and pays their dues gets a seat to speak at the table of wealth and privilege. In the U.S. Senate, what’s at stake is whether women are heard at all. #ReillyforMontana
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 0.8 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | — |
| Days live | 4 (2026-05-11 → 2026-05-15) |
| Created | 2026-05-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | vivid pink wildflowers against dramatic Montana mountain backdrop evoking natural resilience and beauty |
| Tactic | The ad pairs a striking Montana landscape with populist feminist rhetoric to emotionally frame the candidate as a grassroots disruptor challenging elite power structures, appealing to women who feel politically excluded. |
Where it ran (delivery by region)
| California | 10.3% |
| Montana | 8.5% |
| Florida | 6.4% |
| Texas | 5.2% |
| Washington | 4.4% |
| New York | 3.7% |
| Pennsylvania | 3.7% |
Who saw it (delivery)
| 18-24 · female | 1.4% |
| 45-54 · male | 3.3% |
| 65+ · male | 24.3% |
| 65+ · female | 41.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.3% |
| 55-64 · female | 6.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.1% |
| 18-24 · male | 1.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.2% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.3% |
| 25-34 · female | 2.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
