Jordan Wood US Inactive
JORDAN FOR MAINE
Will you chip in to help me defeat Susan Collins?
Can I count on you? >>
Ad copy
I'll be quick: I'm officially running to replace Republican Susan Collins in the Senate, and I’m asking for $10. Our campaign isn’t taking a cent of corporate PAC or lobbyist donations – I’m relying on support from regular citizens to fund our campaign the right way. I know we can win this race and ensure Maine families have a champion in the Senate -- but I can't do it without you. Will you chip in anything you can spare to help win this historic race? I can’t tell you how grateful I’d be for your help.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 55.8 · 3.3 · 60.0 |
| Spend range | USD 300–399 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 27.96 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 13 (2025-05-30 → 2025-06-12) |
| Created | 2025-05-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Jordan Wood |
| Surfaced by | “senate:Jordan Wood” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | 'End Citizens United' sign visible on bookshelf behind candidate reinforces no-PAC-money pledge |
| Tactic | Low-fi selfie video style signals authentic grassroots credibility while the explicit $10 ask and anti-PAC framing lower the barrier to entry and contrast the candidate against both the opponent and big-money politics. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 25-34 · female | 2.2% |
| 25-34 · male | 1.2% |
| 25-34 · unknown | 0.2% |
| 35-44 · female | 6.6% |
| 35-44 · male | 3.6% |
| 35-44 · unknown | 0.5% |
| 45-54 · female | 8.5% |
| 45-54 · male | 4.4% |
| 45-54 · unknown | 0.3% |
| 55-64 · female | 15.4% |
| 55-64 · male | 8.1% |
| 55-64 · unknown | 0.4% |
| 65+ · female | 30.1% |
| 65+ · male | 17.8% |
| 65+ · unknown | 0.7% |
