Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
Elk survive by sticking together through the long winter. They don’t depend on luck or politics, they depend on the herd. That's how healthcare should work, with every Montanan protected through shared strength and persistence. Thanks to the Inflation Reduction Act, we've had access to ACA subsidies and peace of mind. Over 75k Montanans invested in ACA for better healthcare in #Montana. Daines doesn't care what we paid for. He's shutting it down. I know #UniversalHealthCare is a public necessity. I'm going to build a plan right here in Montana. https://reillyformontana.com/universal-healthcare-begins-right-here-in-montana/
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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 (2025-11-05 → 2025-11-09) |
| Created | 2025-11-04 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Wide-angle herd of elk on a snow-dusted Montana plain used as an extended metaphor for collective healthcare protection |
| Tactic | The elk-as-herd metaphor cleverly reframes universal healthcare as a natural, self-reliant Montana value rather than a government program, blunting ideological resistance while attacking Daines for threatening ACA subsidies already used by 75k constituents. |
Where it ran (delivery by region)
| Texas | 17.9% |
| California | 15.7% |
| Florida | 11.6% |
| Washington | 10.2% |
| Pennsylvania | 7.0% |
| Arizona | 5.0% |
| Colorado | 4.9% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 0.9% |
| 65+ · male | 36.6% |
| 65+ · female | 44.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.2% |
| 55-64 · female | 8.0% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 1.2% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.6% |
| 35-44 · female | 0.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.3% |
| 25-34 · female | 0.3% |
| 65+ · unknown | 0.8% |
