Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
We Do Mountains. We Do Neighbors. We Don't Do Kings. In #Montana, we raise cattle, build fences, fight fires, and show up for each other. What we don’t do is kneel to billionaires or foreign money. Daines trades #Montana for Trump’s favor. He hands over our land, our farmers, our workers, our Veterans, our healthcare. On October 18, we will stand up across Montana. #NoKings rule us. We demand self-governance and defense of #RuleofLaw. #NoKingsDay #Montana #JoinUs
↗ 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 (2025-10-12 → 2025-10-16) |
| Created | 2025-10-12 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, us flag |
| Call to action | none |
| Standout element | Retro travel postcard style with a red 'no kings' crown-ban symbol in the corner replacing typical tourist iconography |
| Tactic | The ad weaponizes Montana regional pride and a vintage postcard aesthetic to frame opponent Daines as a monarchist sellout, using populist 'no kings' rhetoric to tie him to Trump and billionaires while positioning Neill as a defender of self-governance. |
Where it ran (delivery by region)
| California | 16.2% |
| Texas | 15.1% |
| Florida | 12.0% |
| Washington | 10.1% |
| Montana | 7.2% |
| Pennsylvania | 6.3% |
| Colorado | 5.3% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 1.6% |
| 65+ · male | 28.5% |
| 65+ · female | 49.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.4% |
| 55-64 · female | 8.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.0% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.7% |
| 35-44 · female | 0.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.2% |
| 25-34 · female | 0.3% |
| 65+ · unknown | 0.6% |
