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.
Hey, real quick. I just launched my campaign for U.S. Senate against Steve Daines, and our momentum is already incredible. Folks are fired up and ready to beat do-nothing politicians like Steve Daines, who focus all their energy on dividing us while they screw over working people. If you’re as tired of politics as usual as I am, then help us keep building this thing — because together, we can beat Steve Daines and send a message to the entire country. Please, pitch in a few bucks today. Thank you.
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| Overall score | 26.9/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 39.6 · 0.3 · 50.5 |
| Spend range | USD 200–299 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 99.82 |
| Est. audience size | — |
| Days live | 2 (2026-03-04 → 2026-03-06) |
| Created | 2026-03-04 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Selfie-style outdoor video shot against Montana woodland, projecting authentic grassroots authenticity |
| Tactic | The ad uses a raw, unpolished selfie-video format to signal authenticity and contrast the candidate's everyman image against a named 'do-nothing' incumbent, pairing populist anger with a direct donate ask. |
| Montana | 37.2% |
| California | 9.6% |
| Washington | 5.2% |
| Colorado | 4.7% |
| Idaho | 4.0% |
| Oregon | 3.6% |
| Arizona | 3.6% |
| 18-24 · female | 0.2% |
| 45-54 · male | 5.0% |
| 65+ · male | 24.7% |
| 65+ · female | 31.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 9.5% |
| 55-64 · female | 11.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.4% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.7% |
| 35-44 · female | 3.3% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.2% |
| 25-34 · female | 1.4% |
| 65+ · unknown | 0.6% |