REILLY FOR MONTANA
Towering peaks, ancient glaciers, alpine meadows, it’s a landscape that humbles you. Glacier is sacred ground. It’s a living ecosystem, a climate indicator, and the lifeblood of local economies, from tribal tourism and family-run lodges to the outfitters, rangers, and workers who rely on its protection. What's at stake? Glacier’s glaciers are shrinking. Development pressures are rising. Politicians like Steve Daines are willing to sell access, open the door to resource extraction, and gut protections in the name of “freedom.” As your U.S. Senator, I’ll fight to protect every acre of Glacier and every public space in the #TreasureState. #ReillyForMontana #KeepItWild #mtpol
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| Overall score | 29.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 47.5 · 0.8 · 68.5 |
| Spend range | <USD 99 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 9.0 |
| Est. audience size | — |
| Days live | 4 (2026-04-30 → 2026-05-04) |
| Created | 2026-04-30 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
| Issue | energy environment |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | none |
| Standout element | Dramatic smartphone-shot photo of a glacier-streaked Rocky Mountain peak framed by pine trees, evoking sacred Montana wilderness |
| Tactic | The ad uses reverent, place-based emotional appeal — framing Glacier as 'sacred ground' — to build identity-driven contrast against opponent Steve Daines, positioning Neill as the protector of Montana's defining landscape. |
| California | 10.9% |
| Montana | 7.7% |
| Texas | 5.8% |
| Washington | 5.5% |
| Florida | 4.5% |
| New York | 3.7% |
| Arizona | 3.6% |
| 18-24 · female | 1.4% |
| 45-54 · female | 2.5% |
| 65+ · male | 30.9% |
| 65+ · female | 22.6% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.7% |
| 55-64 · female | 4.9% |
| 45-54 · male | 7.1% |
| 35-44 · unknown | 0.0% |
| 18-24 · male | 2.1% |
| 35-44 · male | 6.0% |
| 35-44 · female | 2.6% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 4.6% |
| 25-34 · female | 3.1% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |