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Reilly Neill for U.S. Senate US Inactive

REILLY FOR MONTANA

ad creative

Ad copy

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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Performance proxies

Overall score30.5/100
Spend / Reach / Long. / Eff.0.0 · 50.6 · 0.8 · 70.8
Spend range<USD 99
Impressions7,000 – 7,999
CPM (≈ $/1k impr)USD 6.6
Est. audience size
Days live4 (2025-09-15 → 2025-09-19)
Created2025-09-15
Creative variants1 body · 0 headline
Platformsfacebook, instagram
Languagesen
CandidateMT — Reilly Neill
Surfaced by“senate:Reilly Neill”

🧠 AI analysis

Issueenergy environment
Framingissue advocacy
Message typeawareness
Emotional appealpride
Production tierprofessional
Who picturednone
Symbolsfarm rural
Call to actionnone
Standout elementAerial drone shot of a pristine mountain lake reflecting forested peaks, evoking Montana's wild beauty
TacticThe 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.

Where it ran (delivery by region)

California17.2%
Florida16.8%
Texas13.6%
Washington12.7%
Pennsylvania6.8%
Colorado6.4%
Montana5.4%

Who saw it (delivery)

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%

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