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
This is one of the most important Senate races in the country. And the political establishment is already preparing to spend millions to keep control. But we’re building something they can’t buy, an independent grassroots movement powered by people across Montana. I’m Seth Bodnar, independent running for Montana’s open Senate seat, and I’m asking you to be part of it. So can you chip in anything right now to help us win this November?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.8/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 39.6 · 9.4 · 54.3 |
| Spend range | USD 100–199 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 59.81 |
| Est. audience size | — |
| Days live | 35 (2026-04-27 → 2026-06-01) |
| Created | 2026-04-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Seth Bodnar |
| Surfaced by | “senate:Seth Bodnar” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Montana state flag prominently displayed behind candidate speaking direct-to-camera in casual flannel shirt |
| Tactic | Deliberate lo-fi, direct-to-camera authenticity reinforces the grassroots-vs-establishment contrast narrative and makes the donation ask feel personal rather than institutional. |
Where it ran (delivery by region)
| Montana | 52.1% |
| California | 6.9% |
| Washington | 4.1% |
| Oregon | 3.4% |
| Idaho | 2.2% |
| Florida | 2.1% |
| New York | 1.9% |
Who saw it (delivery)
| 18-24 · female | 1.4% |
| 45-54 · male | 4.1% |
| 65+ · male | 25.8% |
| 65+ · female | 29.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.4% |
| 55-64 · female | 8.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 3.9% |
| 18-24 · male | 4.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.4% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.9% |
| 25-34 · female | 1.9% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.7% |
