Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
I’m going to shoot straight on this last day of #WomensHistoryMonth. We need to send a truth teller to D.C., not someone who fabricates their resume, not a lackey who promises to ban abortion, and definitely not a corporate shill who’s been sued by over 70 women. We need strong leadership to empower the Senate and end the chaos in D.C. We need you to chip in to get us there. Let’s make history. Again. #ReillyforMontana #SecondWoman reillyformontana.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.3 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 2 (2026-03-31 → 2026-04-02) |
| Created | 2026-03-31 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | abortion |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | candidate filming herself outdoors in a snowy Montana landscape with a lone evergreen tree — an unpolished, direct-to-camera selfie video signaling authenticity |
| Tactic | The ad leverages Women's History Month as a hook to deliver a sharp contrast attack — painting the opponent as a resume-fabricating, abortion-banning corporate shill sued by 70 women — while positioning Neill as the plainspoken truth-teller, closing with a fundraising appeal and historic framing to motivate female donors. |
Where it ran (delivery by region)
| New York | 55.0% |
| California | 15.3% |
| Pennsylvania | 9.5% |
| Oregon | 5.7% |
| Colorado | 2.7% |
| Washington | 2.6% |
| Virginia | 2.4% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 8.6% |
| 65+ · unknown | 0.2% |
| 65+ · male | 34.1% |
| 65+ · female | 15.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 22.3% |
| 55-64 · female | 8.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.1% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.4% |
| 35-44 · female | 1.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.6% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
