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 >>
Here’s the truth: If Dems fail to defeat Susan Collins in Maine, we fail to win back the Senate. It’s that simple. But Jordan needs 500 donations before midnight to close his budget gap, compete with Collins’ MAGA cash, and WIN. Please, will you chip in?
Here’s the truth: If Dems fail to defeat Susan Collins in Maine, we fail to win back the Senate. It’s that simple. But Jordan needs 500 donations before midnight to close his budget gap, compete with Collins’ MAGA cash, and WIN. Please, will you chip in?
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| Overall score | 41.5/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 55.8 · 23.1 · 46.1 |
| Spend range | USD 2,000–2,499 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 179.97 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 85 (2025-06-20 → 2025-09-13) |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | News chyron framing Collins' own words as an attack against her, creating a self-indictment effect |
| Tactic | The ad weaponizes a news screenshot of Collins expressing concern about Trump's tax bill to imply hypocrisy or weakness, pairing it with a midnight-deadline urgency tactic to drive small-dollar donations. |
| California | 14.6% |
| New York | 9.1% |
| Massachusetts | 7.3% |
| Florida | 6.3% |
| Texas | 4.1% |
| Pennsylvania | 3.8% |
| Washington | 3.8% |
| 25-34 · female | 0.5% |
| 25-34 · male | 0.2% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.0% |
| 35-44 · male | 0.7% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 1.8% |
| 45-54 · male | 1.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 8.3% |
| 55-64 · male | 5.8% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 52.0% |
| 65+ · male | 27.2% |
| 65+ · unknown | 0.8% |