Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
Election Day is just 48 hours away. You the people of Alabama must decide if the U.S. Senate seat is owned by ‘We the People’ Or the AI/crypto billionaires from California. Mark your calendar, check your polling place, call your family, and make a plan to vote in the rain. We’ve officially reached the final days, time is ticking. Make your plan to vote Tuesday, Jared Hudson for U.S. Senate!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.8/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 68.1 · 0.8 · 69.1 |
| Spend range | USD 300–399 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 8.22 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2026-06-14 → 2026-06-18) |
| Created | 2026-06-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | gotv mobilization |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military |
| Call to action | vote |
| Standout element | Navy SEAL credential badge paired with 'Christian • Navy SEAL • Republican' identity trifecta |
| Tactic | The ad uses a populist 'We the People vs. out-of-state billionaires' contrast frame combined with a 48-hour urgency trigger and the candidate's military credibility to drive turnout among Alabama Republican base voters. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 5.6% |
| 45-54 · male | 6.3% |
| 65+ · unknown | 0.0% |
| 65+ · male | 3.0% |
| 65+ · female | 2.6% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 4.3% |
| 55-64 · female | 3.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.0% |
| 18-24 · male | 4.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 15.9% |
| 35-44 · female | 19.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 13.8% |
| 25-34 · female | 14.9% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
