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 >>
I'm officially running to replace Republican Susan Collins in the Senate, and I’m asking for $10. I promise you this: I’ll have your back every single day in the Senate. But right now, I need you to have mine. Will you chip in any amount to help me compete with Collins’ MILLIONS and ensure we give this campaign the chance it deserves to succeed?
I'm officially running to replace Republican Susan Collins in the Senate, and I’m asking for $10. I promise you this: I’ll have your back every single day in the Senate. But right now, I need you to have mine. Will you chip in any amount to help me compete with Collins’ MILLIONS and ensure we give this campaign the chance it deserves to succeed?
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| Overall score | 38.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 59.2 · 8.3 · 53.0 |
| Spend range | USD 1,000–1,499 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 71.4 |
| Est. audience size | — |
| Days live | 31 (2025-06-20 → 2025-07-21) |
| Created | 2025-06-18 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Jordan Wood |
| Surfaced by | “senate:Jordan Wood” |
| Issue | economy taxes |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | News chyron mockingly framing Collins' 'very concerned' rhetoric as empty political cover on Trump's tax bill |
| Tactic | Uses Collins' own words and a news screenshot to weaponize her 'concern without action' reputation, pairing it with an urgency-driven low-dollar fundraising ask to maximize small-donor conversion. |
| California | 16.1% |
| New York | 8.4% |
| Florida | 6.4% |
| Massachusetts | 5.9% |
| Pennsylvania | 4.3% |
| Texas | 4.2% |
| Washington | 3.7% |
| 25-34 · female | 0.5% |
| 25-34 · male | 0.6% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.9% |
| 35-44 · male | 1.5% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 3.8% |
| 45-54 · male | 2.8% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 12.0% |
| 55-64 · male | 9.9% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 39.5% |
| 65+ · male | 26.3% |
| 65+ · unknown | 0.7% |