Hudson for Alabama
The DC elite are scared. They’re scared because they are realizing that this grassroots movement can’t be stopped. A political insider group just ran a million dollar attack ad on me with complete and total lies. Here is where I stand: 1. I fully support President Donald Trump and his America First agenda. 2. I will NEVER support amnesty and I am the most anti-illegal immigration candidate in this race. Want proof? While career politicians talk about what they’re going to do, I am the one actually arresting these illegals and putting them in cuffs. 3. I was the FIRST person in this race to call for the passing of the SAVE America Act. I decided to run for the U.S. Senate because these same career politicians attacking me, an outsider, have proven they’re all talk and can’t actually get the job done. Washington needs a fighter and I am the guy. Send a Warrior to Washington on May 19th.
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| Overall score | 46.5/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 80.0 · 1.9 · 65.9 |
| Spend range | USD 1,500–1,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 12.72 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 8 (2026-05-11 → 2026-05-19) |
| Created | 2026-05-11 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Bold 'TRUMP,' subtitle caption burned into dark brooding close-up of candidate mid-speech |
| Tactic | Inoculation tactic — candidate preemptively reframes opponent attack ads as lies from scared DC elites, positioning himself as authentic grassroots champion while name-dropping Trump to borrow credibility. |
| Alabama | 100.0% |
| 18-24 · female | 0.3% |
| 45-54 · male | 9.1% |
| 65+ · male | 18.4% |
| 65+ · female | 23.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 13.5% |
| 55-64 · female | 11.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.3% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.3% |
| 35-44 · female | 3.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.1% |
| 25-34 · female | 1.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |