Hudson for Alabama
BREAKING: New polling shows our movement is surging. This is a real grassroots movement and it’s building every single day. I’ve spent my life in the fight as a Navy SEAL. Now I’m fighting for the people of Alabama. Y’all, please chip in $10 if you can. They’ve got their insiders, their money, and their machine. Help me keep this movement moving. Let’s take out two insiders and send a warrior to Washington.
BREAKING: New polling shows our movement is surging. This is a real grassroots movement and it’s building every single day. I’ve spent my life in the fight as a Navy SEAL. Now I’m fighting for the people of Alabama. Y’all, please chip in $10 if you can. They’ve got their insiders, their money, and their machine. Help me keep this movement moving. Let’s take out two insiders and send a warrior to Washington.
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| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 70.7 · 11.6 · 63.6 |
| Spend range | USD 900–999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 17.26 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 43 (2026-03-31 → 2026-05-13) |
| Created | 2026-03-31 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | donate |
| Standout element | Green upward arrow on Hudson's 19% bar highlighting +10% momentum surge against red bars for opponents |
| Tactic | The ad uses momentum framing with a real poll to create urgency and social proof, converting competitive underdog positioning into a fundraising hook by casting the candidate as a rising grassroots warrior against entrenched insiders. |
| Alabama | 100.0% |
| 18-24 · female | 0.4% |
| 45-54 · male | 10.5% |
| 65+ · male | 13.8% |
| 65+ · female | 17.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 13.3% |
| 55-64 · female | 13.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.4% |
| 18-24 · male | 1.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 8.8% |
| 35-44 · female | 4.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 6.3% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |