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’m officially running to replace Senator Susan Collins. I’ve been fighting to fix our corrupt political system for my entire career – but this is the first time I’m running for office. That means my campaign is starting out with $0 in the bank. I would be so grateful if you could chip in any amount to become one of my very first donors, ensure we defeat Susan Collins, and bring strong representation back to our state. Will you 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 · 3.0 · 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 | 12 (2025-05-30 → 2025-06-11) |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Selfie-style outdoor video with candid subtitle creating mid-sentence cliffhanger urgency |
| Tactic | Classic grassroots fundraising tactic: radical transparency ('$0 in the bank') paired with humble ask to convert first-time viewers into founding donors through emotional reciprocity. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 25-34 · female | 2.5% |
| 25-34 · male | 1.2% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 6.3% |
| 35-44 · male | 3.7% |
| 35-44 · unknown | 0.4% |
| 45-54 · female | 8.2% |
| 45-54 · male | 4.6% |
| 45-54 · unknown | 0.3% |
| 55-64 · female | 15.7% |
| 55-64 · male | 8.0% |
| 55-64 · unknown | 0.5% |
| 65+ · female | 30.0% |
| 65+ · male | 17.5% |
| 65+ · unknown | 0.9% |
