Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
You want to know why Billie Eilish won’t talk about the fact that ICE is hunting predators, pedos and human traffickers? Because she's surrounded by those same people in Hollywood in their own little Sodom and Gomorrah. When Little Miss Eyelash was in diapers, I was fighting terrorists to protect this country that she now calls “stolen land.” You're a clown who dances and sings for money, Billie. You know nothing about courage.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.2/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 78.0 · 2.8 · 70.7 |
| Spend range | USD 700–799 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 6.66 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 11 (2026-04-23 → 2026-05-04) |
| Created | 2026-04-23 |
| 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 | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate speaking directly to camera in blue vest with aggressive gesturing, attacking a celebrity by name in stark contrast to typical political messaging |
| Tactic | The ad uses populist rage and celebrity-bashing to build candidate credibility through contrast — positioning Hudson's military service against Billie Eilish's Hollywood activism to trigger anger and tribal identity among conservative voters. |
Where it ran (delivery by region)
| Alabama | 99.9% |
| Tennessee | 0.1% |
| Mississippi | 0.0% |
| Georgia | 0.0% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 9.5% |
| 65+ · male | 13.5% |
| 65+ · female | 19.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.7% |
| 55-64 · female | 12.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 9.2% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.9% |
| 35-44 · female | 6.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 4.7% |
| 25-34 · female | 3.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
