Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
The radical left thinks they can storm our churches, scream in kids' faces during worship, and call it "protest." Not in Alabama. Not on my watch. I fought evil overseas as a Navy SEAL. I hunt child predators here at home with Covenant Rescue. If you terrorize families in the house of God, you’re not an activist, you’re a criminal. Enforce the law. Lock them up. Protect faith. Protect our kids. Protect Alabama. That’s the mission.
↗ 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 · 7.7 · 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 | 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 | crime safety |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military, church cross, family |
| Call to action | none |
| Standout element | high-contrast red-and-white bold type over a rugged Navy SEAL portrait framing Hudson as a warrior-protector |
| Tactic | The ad weaponizes the candidate's Navy SEAL and child-rescue credentials to equate political protest with criminal evil, triggering fear and righteous anger to drive strong identification among religious conservative voters. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 6.8% |
| 65+ · male | 19.4% |
| 65+ · female | 28.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.8% |
| 55-64 · female | 13.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.7% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.9% |
| 35-44 · female | 3.2% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 2.8% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
