Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
Am I surprised we’re in striking distance of winning this Senate race? No. I’ve been all over this state. I hear it every day. People are done with the same old politicians. Done with the ones already in the D.C. club. Alabama doesn’t want a name on a ballot they only hear from every election year. They want a fighter. I’m a former Navy SEAL. I’ve spent my life taking the fight to real enemies. Now I’m taking it to Washington. I’m not running to join the club. I’m running to tear it down. Join us. Let’s finish this mission.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.1/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 73.9 · 2.2 · 68.7 |
| Spend range | USD 600–699 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 8.66 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 9 (2026-04-14 → 2026-04-23) |
| Created | 2026-04-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | none |
| Standout element | News broadcast chyron legitimizing candidate's poll standing mid-campaign |
| Tactic | The ad leverages Navy SEAL identity and anti-establishment 'tear it down' rhetoric to position Hudson as an outsider fighter, using a local news broadcast frame to borrow media credibility for his rising poll numbers. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 9.2% |
| 65+ · male | 11.3% |
| 65+ · female | 16.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 10.2% |
| 55-64 · female | 12.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 11.6% |
| 18-24 · male | 1.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.4% |
| 35-44 · female | 9.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 5.5% |
| 25-34 · female | 4.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
