Seth for Massachusetts
Donald Trump just called me a "loser" on national TV because I called him out for his disastrous war with Iran. It's clear that we struck a nerve, so I need your help to fight back. Will you chip in to support my campaign today?
Donald Trump just called me a "loser" on national TV because I called him out for his disastrous war with Iran. It's clear that we struck a nerve, so I need your help to fight back. Will you chip in to support my campaign today?
Donald Trump just called me a "loser" on national TV because I called him out for his disastrous war with Iran. It's clear that we struck a nerve, so I need your help to fight back. Will you chip in to support my campaign today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 36.5/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 55.8 · 6.6 · 54.3 |
| Spend range | USD 700–799 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 59.96 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 25 (2026-03-27 → 2026-04-21) |
| Created | 2026-03-27 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Seth Moulton |
| Surfaced by | “senate:Seth Moulton” |
| Issue | foreign policy defense |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate mid-speech with mouth open against lush green background, framed as a direct video response to Trump's attack |
| Tactic | Classic 'fight back' fundraising tactic that leverages Trump's personal insult as a rallying cry, converting outrage into donor urgency with an immediate 'Donate Now' CTA. |
| Massachusetts | 100.0% |
| 25-34 · female | 0.3% |
| 25-34 · male | 0.4% |
| 35-44 · female | 1.0% |
| 35-44 · male | 1.2% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.4% |
| 45-54 · male | 2.9% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 11.0% |
| 55-64 · male | 10.1% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 40.4% |
| 65+ · male | 28.9% |
| 65+ · unknown | 1.2% |