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
Hey, please don’t click away from this post just yet. I’m Seth Bodnar, and I JUST launched my campaign for U.S. Senate against Steve Daines here in Montana. I’m tired of politicians who pit us against each other while lining their own pockets. And if you are too, then I’m humbly asking you to become a Founding Donor to our campaign. We’re building something different here in Montana — a campaign that’s not beholden to any political party or special interest. And I’d love for you to be a part of it.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 50.6 · 0.3 · 56.2 |
| Spend range | USD 300–399 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 46.6 |
| 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” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Direct-to-camera smile in dimly lit home setting conveying intimate authenticity |
| Tactic | Uses a first-person 'please don't scroll' hook paired with an outsider-reformer pitch to drive low-dollar founding donor urgency from cold audiences. |
Where it ran (delivery by region)
| Montana | 44.7% |
| California | 6.6% |
| Colorado | 5.2% |
| Texas | 3.8% |
| Florida | 3.3% |
| Washington | 2.8% |
| Idaho | 2.3% |
Who saw it (delivery)
| 18-24 · female | 1.1% |
| 45-54 · male | 5.7% |
| 65+ · male | 16.3% |
| 65+ · female | 23.6% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 7.3% |
| 55-64 · female | 10.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.2% |
| 18-24 · male | 1.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.5% |
| 35-44 · female | 8.8% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 5.2% |
| 25-34 · female | 4.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
