Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
This is an illegal immigrant who targeted women in Cullman, Alabama. I’m a former Navy SEAL and the founder of Covenant Rescue Group, and we helped arrest this man and get him off the streets. While politicians in Washington argue about funding and go on TV, we’re out here doing the work and putting criminals in handcuffs. Alabama doesn’t need more talk in the Senate, it needs someone who has actually done the job by hand.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.8/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 68.1 · 7.7 · 65.7 |
| Spend range | USD 500–599 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 12.93 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 29 (2026-03-25 → 2026-04-23) |
| 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, border |
| Call to action | none |
| Standout element | candidate holding up a mugshot of the alleged illegal immigrant criminal, creating a direct visual indictment |
| Tactic | The ad leverages the candidate's Navy SEAL and vigilante-justice credibility to contrast real-world action against do-nothing Washington politicians, fusing immigration fear with crime safety anger and personal hero narrative. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 10.6% |
| 65+ · male | 19.1% |
| 65+ · female | 18.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 15.1% |
| 55-64 · female | 9.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.8% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.6% |
| 35-44 · female | 4.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 5.1% |
| 25-34 · female | 1.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
