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 >>
WOW! After voters hear my message, we SURGE into the lead against Susan Collins. This is the closest Democrats have EVER been to flipping this Senate seat. But Collins' super PAC just rushed her $5.6 MILLION to sabotage our chances. Please, we can't let ourselves get outraised and watch this chance slip through our fingers. Will you chip in ASAP?
WOW! After voters hear my message, we SURGE into the lead against Susan Collins. This is the closest Democrats have EVER been to flipping this Senate seat. But Collins' super PAC just rushed her $5.6 MILLION to sabotage our chances. Please, we can't let ourselves get outraised and watch this chance slip through our fingers. Will you chip in ASAP?
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| Overall score | 38.8/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 63.8 · 1.9 · 60.2 |
| Spend range | USD 700–799 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 27.26 |
| Est. audience size | — |
| Days live | 8 (2025-10-23 → 2025-10-31) |
| Created | 2025-10-23 |
| 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, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side poll graphic showing Wood 51% vs Collins 38% with high-contrast blue/red framing |
| Tactic | Classic Democratic fundraising urgency tactic pairing an exciting poll lead with a money-chase threat to trigger immediate small-dollar donations. |
| California | 14.9% |
| New York | 7.6% |
| Florida | 7.4% |
| Massachusetts | 5.7% |
| Texas | 4.6% |
| Pennsylvania | 4.3% |
| New Jersey | 3.8% |
| 25-34 · female | 0.4% |
| 25-34 · male | 0.7% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.1% |
| 35-44 · male | 1.8% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 2.5% |
| 45-54 · male | 3.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 9.8% |
| 55-64 · male | 9.4% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 43.8% |
| 65+ · male | 26.0% |
| 65+ · unknown | 0.8% |