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Reilly Neill for U.S. Senate US Inactive

REILLY FOR MONTANA

ad creative

Ad copy

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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Performance proxies

Overall score29.2/100
Spend / Reach / Long. / Eff.0.0 · 47.5 · 0.8 · 68.5
Spend range<USD 99
Impressions5,000 – 5,999
CPM (≈ $/1k impr)USD 9.0
Est. audience size
Days live4 (2026-04-30 → 2026-05-04)
Created2026-04-30
Creative variants1 body · 0 headline
Platformsfacebook, instagram
Languages
CandidateMT — Reilly Neill
Surfaced by“senate:Reilly Neill”

🧠 AI analysis

Issueenergy environment
Framingcontrast comparison
Message typepersuasion
Emotional appealpride
Production tierdiy amateur
Who picturednone
Symbolsfarm rural
Call to actionnone
Standout elementDramatic smartphone-shot photo of a glacier-streaked Rocky Mountain peak framed by pine trees, evoking sacred Montana wilderness
TacticThe 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.

Where it ran (delivery by region)

California10.9%
Montana7.7%
Texas5.8%
Washington5.5%
Florida4.5%
New York3.7%
Arizona3.6%

Who saw it (delivery)

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%

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