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 watched Susan Collins advance Trump's cruel budget to the Senate floor – now, I'm going to make her regret it. I’m within one point of winning. So I’m asking for a massive surge of donations in response to her vote to help me kick her out of office and ensure she can never do this again.
I watched Susan Collins advance Trump's cruel budget to the Senate floor – now, I'm going to make her regret it. I’m within one point of winning. So I’m asking for a massive surge of donations in response to her vote to help me kick her out of office and ensure she can never do this again.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 49.0/100 |
| Spend / Reach / Long. / Eff. | 53.9 · 80.0 · 6.9 · 55.0 |
| Spend range | USD 7,000–7,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 54.54 |
| Est. audience size | — |
| Days live | 26 (2025-07-04 → 2025-07-30) |
| Created | 2025-07-02 |
| 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 exposing Collins's 'very concerned' hypocrisy juxtaposed with the ad's accusation that she voted for the bill anyway |
| Tactic | The ad weaponizes Collins's own words and a news screenshot to frame her as hypocritical, then converts that outrage into an urgent small-dollar fundraising appeal anchored by a near-tie polling claim. |
| California | 15.2% |
| New York | 8.4% |
| Massachusetts | 6.4% |
| Florida | 5.7% |
| Pennsylvania | 4.7% |
| Washington | 3.8% |
| Texas | 3.7% |
| 25-34 · female | 0.3% |
| 25-34 · male | 0.2% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.1% |
| 35-44 · male | 0.9% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.7% |
| 45-54 · male | 2.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 11.5% |
| 55-64 · male | 7.7% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 47.2% |
| 65+ · male | 25.3% |
| 65+ · unknown | 0.8% |