REILLY FOR MONTANA
Montana has 6.4 million acres of roadless national forest lands. These include the Yaak Valley, Swan Range, Bitterroot Mountains, Gallatin Range, and the edges of Glacier and Yellowstone. First identified in the 1970s and protected under the 2001 Roadless Rule, they safeguard clean water, wildlife habitat, and backcountry recreation. The Swan Range protects native trout and ancient forests while supporting Montana’s outdoor economy. These lands preserve the state’s wild character. Public comment ends September 19. Now is the time to speak up for Montana’s roadless areas. #RoadlessMT #TreasureState #ReillyforMontana https://www.regulations.gov/commenton/FS-2025-0001-0001
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| 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 (2025-09-15 → 2025-09-19) |
| Created | 2025-09-15 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
| Issue | energy environment |
| Framing | issue advocacy |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | none |
| Standout element | Aerial drone shot of a pristine mountain lake reflecting forested peaks, evoking Montana's wild beauty |
| Tactic | The ad uses stunning Montana wilderness imagery paired with specific named landmarks to create local pride and urgency around a public comment deadline, mobilizing conservation-minded voters without attacking opponents. |
| California | 17.2% |
| Florida | 16.8% |
| Texas | 13.6% |
| Washington | 12.7% |
| Pennsylvania | 6.8% |
| Colorado | 6.4% |
| Montana | 5.4% |
| 18-24 · female | 0.1% |
| 18-24 · male | 0.1% |
| 25-34 · female | 0.4% |
| 25-34 · male | 0.4% |
| 35-44 · female | 0.9% |
| 35-44 · male | 1.1% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.1% |
| 45-54 · male | 1.9% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 8.9% |
| 55-64 · male | 9.2% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 39.9% |
| 65+ · male | 33.9% |
| 65+ · unknown | 0.8% |