SETH BODNAR FOR MONTANA
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.
I’m going to ask you for just $1. Seriously, $1. Because this campaign isn’t powered by corporate PACs or political insiders. It’s powered by folks here in Montana and across the country who are ready for something different. I’m Seth Bodnar, and I’m running for U.S. Senate in Montana. And when thousands of people chip in just a dollar, it adds up fast and it’s how we win. So, can you be one of them? Chip in $1 now to help us win Montana’s open Senate seat this November.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 28.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 39.6 · 9.6 · 54.3 |
| Spend range | USD 100–199 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 59.81 |
| Est. audience size | — |
| Days live | 36 (2026-04-27 → 2026-06-02) |
| Created | 2026-04-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Seth Bodnar |
| Surfaced by | “senate:Seth Bodnar” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | selfie-style outdoor video frame shot against Montana big-sky backdrop signaling authenticity over polish |
| Tactic | The $1 low-barrier ask paired with an anti-PAC populist message is a classic grassroots list-building and donor acquisition tactic designed to maximize donor count over revenue. |
| Montana | 45.6% |
| California | 8.5% |
| Washington | 4.4% |
| Texas | 3.0% |
| Oregon | 2.9% |
| Arizona | 2.7% |
| Florida | 2.6% |
| 18-24 · female | 0.8% |
| 18-24 · male | 3.3% |
| 18-24 · unknown | 0.1% |
| 25-34 · female | 1.3% |
| 25-34 · male | 5.3% |
| 35-44 · female | 3.3% |
| 35-44 · male | 4.6% |
| 45-54 · female | 4.0% |
| 45-54 · male | 6.4% |
| 45-54 · unknown | 0.3% |
| 55-64 · female | 9.7% |
| 55-64 · male | 8.5% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 27.0% |
| 65+ · male | 24.4% |
| 65+ · unknown | 0.7% |