Jordan Wood US Inactive
JORDAN FOR MAINE
CHIP IN TO DEFEAT REPUBLICAN SUSAN COLLINS
If we win this race, we’ll win the ENTIRE Senate >>
Ad copy
I’m officially running to OUST Republican Senator Susan Collins, and I could really use your help to get off the ground. I’ve never run for office before. 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 and ensure we DEFEAT Susan Collins once and for all. Will you help?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.4/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 55.8 · 14.9 · 55.4 |
| Spend range | USD 600–699 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 51.96 |
| Est. audience size | — |
| Days live | 55 (2025-05-27 → 2025-07-21) |
| Created | 2025-05-27 |
| 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, signaling progressive alignment |
| Tactic | First-time candidate leans into authenticity and vulnerability ('$0 in the bank') to build donor empathy and urgency, using the opponent's name repeatedly as the fundraising hook. |
Where it ran (delivery by region)
| California | 12.7% |
| Massachusetts | 9.3% |
| New York | 9.0% |
| Florida | 6.9% |
| Pennsylvania | 4.1% |
| Texas | 3.9% |
| Michigan | 3.2% |
Who saw it (delivery)
| 25-34 · female | 0.8% |
| 25-34 · male | 0.7% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 2.3% |
| 35-44 · male | 1.7% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 4.0% |
| 45-54 · male | 3.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 12.9% |
| 55-64 · male | 9.4% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 39.3% |
| 65+ · male | 24.7% |
| 65+ · unknown | 0.7% |
