Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
Daines is acting like 2026 will never come. He helped China and Argentina undercut Montana ag to stay in Trump’s good graces. If he feared voters, he would defend our producers. #FireDaines #ReillyforMontana #MontanaFirst #DainesHatesMTAgProducers
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.5/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 50.6 · 0.8 · 70.8 |
| Spend range | <USD 99 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 6.6 |
| Est. audience size | — |
| Days live | 4 (2025-10-23 → 2025-10-27) |
| Created | 2025-10-23 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | agriculture rural |
| 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 filmed selfie-style in a farm field with Montana mountains and farm equipment behind her, projecting authentic rural credibility |
| Tactic | The ad uses a direct-to-camera, unpolished selfie video from a farm setting to build authentic credibility with rural voters while attacking Daines for prioritizing Trump's approval over Montana agricultural interests. |
Where it ran (delivery by region)
| Washington | 17.9% |
| Kansas | 17.4% |
| Missouri | 13.5% |
| Oregon | 11.1% |
| Iowa | 9.3% |
| Arkansas | 7.3% |
| Idaho | 4.4% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 7.4% |
| 65+ · male | 37.3% |
| 65+ · female | 17.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 25.0% |
| 55-64 · female | 7.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.4% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.0% |
| 35-44 · female | 0.4% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 0.2% |
| 65+ · unknown | 0.2% |
