Jared Hudson for Alabama US Inactive
Hudson for Alabama
Ad copy
I just paid $500 for two batteries for my truck. When I was at the auto parts store, I checked out the batteries in my account that I had paid for over the past decade. In just the past decade, the battery I bought has DOUBLED in price. What’s next? Will I be paying $1000 for two batteries in 10 more years? I have three young girls, and I want them to grow up with the same opportunities that I had. Which is exactly why I’m running for the U.S. Senate. Alabama needs a fighter.
↗ 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 | economy taxes |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate leaning over a truck engine in a DIY self-shot video, pointing at a car battery to make inflation viscerally personal |
| Tactic | Uses relatable everyday sticker shock — $500 truck batteries that have doubled in price — as a populist entry point to introduce the candidate's Senate run, anchoring a political launch in kitchen-table economics. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 11.4% |
| 65+ · male | 20.5% |
| 65+ · female | 15.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 15.3% |
| 55-64 · female | 7.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.9% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.2% |
| 35-44 · female | 4.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 6.5% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
