Hudson for Alabama
BREAKING: New polling shows our movement is surging. This is a real grassroots movement and it’s building every single day. I’ve spent my life in the fight as a Navy SEAL. Now I’m fighting for the people of Alabama. They’ve got their insiders, their money, and their machine. Help me keep this movement moving. Let’s take out two insiders and send a warrior to Washington.
BREAKING: New polling shows our movement is surging. This is a real grassroots movement and it’s building every single day. I’ve spent my life in the fight as a Navy SEAL. Now I’m fighting for the people of Alabama. They’ve got their insiders, their money, and their machine. Help me keep this movement moving. Let’s take out two insiders and send a warrior to Washington.
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| Overall score | 43.0/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 72.4 · 3.9 · 66.6 |
| Spend range | USD 700–799 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 11.53 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 15 (2026-04-30 → 2026-05-15) |
| Created | 2026-04-30 |
| Creative variants | 2 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | donate |
| Standout element | Green upward arrow on Hudson's bar showing +10% momentum against red bars for rivals |
| Tactic | Leverages a real poll and borrowed media credibility to frame the candidate as a surging grassroots underdog, combining urgency and Navy SEAL identity to drive donations against establishment opponents. |
| Alabama | 100.0% |
| Tennessee | 0.0% |
| Georgia | 0.0% |
| Mississippi | 0.0% |
| 18-24 · female | 1.0% |
| 45-54 · male | 7.9% |
| 65+ · male | 16.9% |
| 65+ · female | 22.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.1% |
| 55-64 · female | 11.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.5% |
| 18-24 · male | 1.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.0% |
| 35-44 · female | 5.4% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.4% |
| 25-34 · female | 3.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |