Seth Bodnar US Inactive
SETH BODNAR FOR MONTANA
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Seth Bodnar is a Green Beret, business leader, and former president of the University of Montana running for the U.S. Senate to be an independent voice for Montana. Seth is guided by a lifelong commitment to duty, honor, and country.
Ad copy
Can you stop scrolling? It’s Seth Bodnar here. I’m a Green Beret, a businessman, and a dad running for U.S. Senate as an Independent to take power back from Washington political elites. Montana now has an open Senate seat, and we have a real chance to do something different. Chip in a monthly donation today and become one of the first supporters of this campaign.
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Performance proxies
| Overall score | 43.2/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 69.3 · 4.7 · 52.2 |
| Spend range | USD 3,500–3,999 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 78.94 |
| Est. audience size | — |
| Days live | 18 (2026-03-13 → 2026-03-31) |
| Created | 2026-03-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Seth Bodnar |
| Surfaced by | “senate:Seth Bodnar” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate, veterans military |
| Symbols | military, farm rural |
| Call to action | donate |
| Standout element | Selfie-style outdoor video of candidate speaking directly to camera amid Montana trees, projecting unpolished authenticity |
| Tactic | The DIY selfie-video format and scroll-stopping direct address ('Can you stop scrolling?') build personal trust and urgency while the Green Beret/businessman/dad trifecta rapidly establishes credibility to drive first-time small-dollar donations. |
Where it ran (delivery by region)
| Montana | 50.8% |
| Washington | 6.9% |
| California | 6.6% |
| Oregon | 2.6% |
| Colorado | 2.3% |
| Arizona | 2.2% |
| Idaho | 2.1% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.6% |
| 65+ · male | 24.8% |
| 65+ · female | 21.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.7% |
| 55-64 · female | 8.9% |
| 45-54 · male | 8.2% |
| 18-24 · male | 0.9% |
| 45-54 · female | 5.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.6% |
| 35-44 · female | 3.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.7% |
| 25-34 · female | 1.6% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
