GRAHAM FOR MAINE
I’m not taking money from AIPAC or corporations, so any amount you can afford to give goes a long way.
I’m Graham Platner, the Marine Corps veteran and oyster farmer running for Senate against Susan Collins here in Maine. I am asking you to donate to my campaign. Whatever you can. We refuse to take money from billionaires and from AIPAC, and for that reason, we are very reliant on small-dollar donations. I know the value of a dollar. I work on the ocean with my hands. I’m a working-class guy, and I don’t make a lot of money. Asking for even a small amount is asking a lot. But for us to win this, for us to build the organization and capacity to fight and win and take back the Senate in 2026, I need your help. Please, will you make a monthly donation now to my campaign to help me defeat Susan Collins, turn Maine blue, and take back the Senate for Democrats?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 51.3/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 81.7 · 14.3 · 58.6 |
| Spend range | USD 5,000–5,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 33.84 |
| Est. audience size | — |
| Days live | 53 (2025-08-22 → 2025-10-14) |
| Created | 2025-08-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Graham Platner |
| Surfaced by | “senate:Graham Platner” |
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, veterans military, workers labor |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | unpolished outdoor selfie-style video frame emphasizing working-class authenticity |
| Tactic | The ad leverages an anti-corruption, grassroots credibility pitch — explicitly rejecting billionaire and AIPAC money — to motivate small-dollar donors through trust and shared identity with a veteran oyster farmer. |
| California | 13.1% |
| Massachusetts | 8.9% |
| New York | 7.4% |
| Maine | 6.8% |
| Florida | 4.2% |
| Texas | 3.9% |
| Pennsylvania | 3.9% |
| 18-24 · female | 0.5% |
| 45-54 · male | 7.7% |
| 65+ · male | 18.2% |
| 65+ · female | 21.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 12.2% |
| 55-64 · female | 12.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.1% |
| 18-24 · male | 1.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 6.9% |
| 35-44 · female | 4.8% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.5% |
| 25-34 · female | 2.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |