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 Wood is TIED with Susan Collins in the closest Senate race in the country. And this race is Democrats’ BEST chance to flip the Senate. It’s that simple. But Jordan is being MASSIVELY outraised. Please, will you rush a gift before midnight to help close his fundraising gap?
Jordan Wood is TIED with Susan Collins in the closest Senate race in the country. And this race is Democrats’ BEST chance to flip the Senate. It’s that simple. But Jordan is being MASSIVELY outraised. Please, will you rush a gift before midnight to help close his fundraising gap?
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| Overall score | 39.6/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 61.7 · 7.2 · 54.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 55.53 |
| Est. audience size | — |
| Days live | 27 (2025-07-23 → 2025-08-19) |
| Created | 2025-07-23 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate filming himself outdoors at a rugged Maine coastline, creating an urgent, unpolished selfie-video appeal |
| Tactic | Classic urgency-scarcity fundraising tactic combining a tied-race poll stat, a midnight deadline, and a fundraising-gap narrative to pressure small donors into immediate action. |
| California | 14.2% |
| New York | 9.1% |
| Massachusetts | 8.3% |
| Florida | 5.6% |
| Pennsylvania | 4.4% |
| Texas | 3.9% |
| Washington | 3.7% |
| 25-34 · female | 0.4% |
| 25-34 · male | 0.5% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.2% |
| 35-44 · male | 1.3% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 2.8% |
| 45-54 · male | 2.7% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 11.0% |
| 55-64 · male | 10.7% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 42.1% |
| 65+ · male | 26.0% |
| 65+ · unknown | 0.8% |