Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
I've fought terrorists as a Navy SEAL sniper and deported criminal illegals as a Homeland Security task force officer under President Trump. Now, I’ll fight in the Senate to deport every illegal, crush the cartels, and put American families first. No more talk. Warriors act. Alabama needs a fighter who stands with President Trump 100%
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.0/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 61.7 · 7.4 · 61.0 |
| Spend range | USD 500–599 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 24.42 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 28 (2026-03-25 → 2026-04-22) |
| Created | 2026-03-25 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
🧠 AI analysis
| Issue | immigration |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | none |
| Standout element | Candidate in full combat gear with red-highlighted keywords 'TERRORISTS' and 'CRIMINAL ILLEGALS' demanding eye attention |
| Tactic | The ad leverages a dual-credentialed tough-guy biography — Navy SEAL plus DHS enforcer — to establish maximum security authority, using red accent words on a dark backdrop to trigger threat-response emotions and position Hudson as the only 'warrior' capable of protecting Alabama. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 6.6% |
| 65+ · male | 18.9% |
| 65+ · female | 30.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.3% |
| 55-64 · female | 13.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.4% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 4.1% |
| 35-44 · female | 2.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 3.0% |
| 25-34 · female | 1.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
