Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
They’re doubling down. Artificial Intelligence (AI) Crypto Super PACs are trying to buy this election here in Alabama. That’s why you keep seeing all those ads on TV. This state belongs to you, the Alabama voter, and you have a chance to cast your vote for U.S. Senate tomorrow, June 16. These California tech bros want data centers in your backyard and think this state belongs to them. I am an outsider and I can’t be bought by these California Crypto bros. My name is Jared Hudson. I am a former Navy SEAL and I’m the only outsider in this race. I would be honored to earn your vote so I can fight for you in the U.S. Senate. The election is tomorrow. Make a plan to vote, rain or shine!
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Performance proxies
| Overall score | 39.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 63.8 · 3.3 · 56.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 45.44 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 13 (2026-06-15 → 2026-06-28) |
| Created | 2026-06-15 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military, none |
| Call to action | vote |
| Standout element | Candidate with arms crossed in defiant posture with bold 'UPDATE' text overlay signaling urgency |
| Tactic | Leverages populist anti-establishment anger by framing crypto Super PACs as California elites trying to steal Alabama's election, positioning Hudson's Navy SEAL outsider identity as the authentic counter-force. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 45-54 · female | 12.6% |
| 45-54 · male | 13.7% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 17.6% |
| 55-64 · male | 17.7% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 20.8% |
| 65+ · male | 17.1% |
| 65+ · unknown | 0.2% |
