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 livid. Susan Collins voted to advance Trump’s heartless budget that slashes funds for hungry kids to fund billionaire tax cuts – then her colleagues rammed it through the Senate. I’m calling for 1,000 gifts in the next 90 minutes to make Sen. Collins rue the day she put Trump ahead of working families. Will you rush an emergency donation to help me defeat her?
I'm livid. Susan Collins voted to advance Trump’s heartless budget that slashes funds for hungry kids to fund billionaire tax cuts – then her colleagues rammed it through the Senate. I’m calling for 1,000 gifts in the next 90 minutes to make Sen. Collins rue the day she put Trump ahead of working families. Will you rush an emergency donation to help me defeat her?
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| Overall score | 38.2/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 51.9 · 18.5 · 47.6 |
| Spend range | USD 1,000–1,499 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 147.01 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 68 (2025-07-02 → 2025-09-08) |
| 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 juxtaposing Collins saying she's 'very concerned' while copy accuses her of voting yes — a hypocrisy contrast freeze-frame |
| Tactic | The ad weaponizes Collins's own words against her via a news screenshot freeze-frame, pairing her stated concern with her actual vote to trigger donor anger and urgency through a 90-minute gift deadline. |
| California | 14.8% |
| New York | 9.5% |
| Massachusetts | 7.0% |
| Florida | 6.0% |
| Pennsylvania | 4.6% |
| New Jersey | 3.9% |
| Texas | 3.8% |
| 25-34 · female | 0.4% |
| 25-34 · male | 0.1% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 1.0% |
| 35-44 · male | 0.6% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 1.6% |
| 45-54 · male | 1.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 6.9% |
| 55-64 · male | 5.6% |
| 55-64 · unknown | 0.3% |
| 65+ · female | 51.0% |
| 65+ · male | 30.1% |
| 65+ · unknown | 1.0% |