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.
Can you stop scrolling for just a second? Brand new polling shows Seth in a dead heat with DC insiders’ handpicked candidate. Seth and Kurt Alme are exactly tied, 49% to 49%. That’s why the political establishment is already preparing to spend millions to elect Steve Daines’ hand-picked successor. In a race this close, every single dollar makes a difference. If you’re with us in fighting for true leadership that answers to the people of Montana, not Washington elites, will you chip in and help us meet this moment?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 25.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 34.4 · 6.6 · 50.5 |
| Spend range | USD 100–199 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 99.7 |
| Est. audience size | — |
| Days live | 25 (2026-06-03 → active) |
| Created | 2026-06-03 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Seth Bodnar |
| Surfaced by | “senate:Seth Bodnar” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Split red-and-blue poll graphic showing both candidates at exactly 49% creates visceral dead-heat tension |
| Tactic | The ad leverages a tied poll statistic as a fundraising trigger, pairing urgency with an anti-establishment narrative to convert passive scrollers into donors. |
| Montana | 39.3% |
| California | 7.6% |
| Florida | 4.9% |
| Washington | 4.4% |
| New York | 3.5% |
| Texas | 2.7% |
| Oregon | 2.5% |
| 18-24 · female | 0.2% |
| 45-54 · male | 4.2% |
| 65+ · male | 39.3% |
| 65+ · female | 25.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.0% |
| 55-64 · female | 6.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 2.2% |
| 18-24 · male | 1.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.8% |
| 35-44 · female | 1.8% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.4% |
| 25-34 · female | 0.7% |
| 18-24 · unknown | 1.2% |
| 65+ · unknown | 0.9% |