JORDAN FOR MAINE
If we win this race, we’ll win the ENTIRE Senate >>
If we win this race, we’ll win the ENTIRE Senate >>
Jordan needs you to chip in to help him defeat Susan Collins. Here’s why: – Trump LOST Maine by 7 points – If we win Maine, we win the ENTIRE Senate – But Collins has MILLIONS in the bank to sabotage Jordan’s chances We CAN win this, but our campaign is starting with $0 in the bank, and he can’t do it without you. Please, will you chip in any amount?
Jordan needs you to chip in to help him defeat Susan Collins. Here’s why: – Trump LOST Maine by 7 points – If we win Maine, we win the ENTIRE Senate – But Collins has MILLIONS in the bank to sabotage Jordan’s chances We CAN win this, but our campaign is starting with $0 in the bank, and he can’t do it without you. Please, will you chip in any amount?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 36.4/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 59.2 · 0.8 · 57.9 |
| Spend range | USD 600–699 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 37.12 |
| Est. audience size | — |
| Days live | 4 (2025-09-25 → 2025-09-29) |
| Created | 2025-09-25 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Jordan Wood |
| Surfaced by | “senate:Jordan Wood” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera at a working Maine harbor with bold subtitle framing the race as the #1 Senate pickup |
| Tactic | Classic urgency-plus-underdog fundraising tactic: frames the race as a winnable Senate majority-maker while positioning Collins's money advantage as the threat that only small donors can overcome. |
| California | 15.0% |
| New York | 8.3% |
| Florida | 6.2% |
| Texas | 5.5% |
| Illinois | 5.4% |
| New Jersey | 5.2% |
| Pennsylvania | 3.8% |
| 25-34 · female | 1.3% |
| 25-34 · male | 2.1% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 3.2% |
| 35-44 · male | 4.3% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 6.4% |
| 45-54 · male | 6.4% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 12.6% |
| 55-64 · male | 14.0% |
| 55-64 · unknown | 0.3% |
| 65+ · female | 28.6% |
| 65+ · male | 20.0% |
| 65+ · unknown | 0.6% |