Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
We cannot allow one billionaire to buy our votes in #Montana. I’m going to keep fighting for our way of life, our water and our public lands. Places like #glaciernationalpark belong to all of us, not billionaires. Thank you for your support. I’ll never stop working for Montana. #mtnews #mtpol #NoDataCenters
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 51.9 · 1.1 · 71.7 |
| Spend range | <USD 99 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 5.82 |
| Est. audience size | — |
| Days live | 5 (2026-06-05 → 2026-06-10) |
| Created | 2026-06-05 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | energy environment |
| 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 | Candidate filming herself in a forested outdoor setting wearing a visor and sunglasses, evoking an authentic selfie-style grassroots feel |
| Tactic | The ad uses a populist contrast tactic — pitting an everyday Montanan outdoors against an unnamed billionaire — to drive emotional anger and rally public lands defenders around the candidate's authenticity. |
Where it ran (delivery by region)
| Arizona | 22.3% |
| Washington | 18.4% |
| Colorado | 12.2% |
| Oregon | 11.5% |
| Nevada | 8.7% |
| Montana | 7.4% |
| Utah | 5.1% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 8.3% |
| 65+ · male | 32.9% |
| 65+ · female | 19.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 19.9% |
| 55-64 · female | 8.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.7% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 3.5% |
| 35-44 · female | 1.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.4% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
