Hudson for Alabama
I’ve been all over this state, meeting people, hearing their stories, and one thing is clear: Folks are done with politicians who talk a big game and never deliver. This race was never supposed to be close, not without the swamp’s money, not without the machine, not without the insiders picking the winner. But in the SEALs, I spent my life stepping up to fights where the odds didn’t look good on paper, and I’ve learned real quick that heart and mission beat money and titles every time. This is a grassroots fight, and we’re closing fast, so if you’re ready to send a warrior to Washington and take this thing all the way, now’s the time to step in and be part of it.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 47.2/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 75.1 · 12.4 · 60.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 26.46 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 46 (2026-04-22 → 2026-06-07) |
| Created | 2026-04-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate, veterans military |
| Symbols | military, money cash |
| Call to action | donate |
| Standout element | Candidate filmed in a car in raw selfie style paired with an AL.com news screenshot showing him as a frontrunner threat |
| Tactic | The ad uses an anti-establishment 'outsider warrior vs. the swamp' narrative, leveraging the candidate's Navy SEAL identity and a credibility-boosting news poll screenshot to drive urgency-based small-dollar donations. |
| Alabama | 100.0% |
| 18-24 · female | 0.1% |
| 45-54 · male | 12.8% |
| 65+ · male | 16.5% |
| 65+ · female | 15.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 17.4% |
| 55-64 · female | 13.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.4% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.0% |
| 35-44 · female | 3.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 3.6% |
| 25-34 · female | 1.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |