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
BREAKING: Steve Daines just dropped out of the Montana Senate race. I’m Seth Bodnar. I’m a Green Beret, a businessman, and a dad, and I just launched my Independent campaign for Senate this morning. Now this race is wide open, and we have a real opportunity to build something strong here in Montana. If you believe it’s time for new leadership, chip in today and help us get this campaign off the ground.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 26.9/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 39.6 · 0.0 · 50.5 |
| Spend range | USD 200–299 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 99.82 |
| Est. audience size | — |
| Days live | 1 (2026-03-04 → 2026-03-05) |
| Created | 2026-03-04 |
| 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 | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | donate |
| Standout element | Bold blue DONATE bar anchoring a warm candidate headshot against mountain backdrop |
| Tactic | Urgency tactic exploits breaking-news framing of Daines' dropout to create a momentum window and drive immediate first-day donations from persuadable independents. |
Where it ran (delivery by region)
| California | 13.6% |
| Florida | 7.7% |
| Montana | 5.6% |
| Texas | 5.3% |
| New York | 4.6% |
| Washington | 4.3% |
| Illinois | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 2.3% |
| 65+ · male | 34.9% |
| 65+ · female | 41.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.4% |
| 55-64 · female | 7.0% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.1% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.4% |
| 35-44 · female | 1.1% |
| 25-34 · male | 0.8% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 1.1% |
