GRAHAM FOR MAINE
I'm running against Susan Collins, AIPAC, Super PACs, and the entire DC establishment.
The establishment is trying to shut us down before we even get off the ground. Susan Collins, Chuck Schumer, corporate PACs and AIPAC... They're trying to bury us before we even get started. But we are not going to be stopped. I'm running for Senate because we cannot continue sending the same establishment politicians down to Washington who built the system that we have today. We need to do something different. That is why I'm in this race. I'm not taking corporate PAC money. I'm not taking AIPAC money. And that scares them. So please, if you can, will you make a monthly donation now to our campaign to help me defeat Susan Collins, flip Maine blue, and take back the Senate for Democrats?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 57.0/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 99.5 · 1.1 · 59.7 |
| Spend range | USD 25,000–29,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 28.95 |
| Est. audience size | — |
| Days live | 5 (2025-10-15 → 2025-10-20) |
| Created | 2025-10-15 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Graham Platner |
| Surfaced by | “senate:Graham Platner” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Unpolished car-selfie video that signals authenticity and grassroots urgency |
| Tactic | The raw, selfie-from-a-car aesthetic deliberately signals outsider authenticity while name-dropping powerful enemies (Collins, Schumer, AIPAC) to stoke anti-establishment anger and drive small-dollar recurring donations. |
| California | 11.5% |
| Maine | 11.2% |
| New York | 7.5% |
| Massachusetts | 6.6% |
| Washington | 4.0% |
| Pennsylvania | 3.7% |
| Texas | 3.7% |
| 18-24 · female | 0.9% |
| 45-54 · male | 10.5% |
| 65+ · male | 7.4% |
| 65+ · female | 10.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.3% |
| 55-64 · female | 9.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.8% |
| 18-24 · male | 3.5% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 13.9% |
| 35-44 · female | 9.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 10.8% |
| 25-34 · female | 5.1% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |