GRAHAM FOR MAINE
Read Democratic U.S. Senate candidate Graham Platner's plan to defeat Susan Collins and win back the seat for working Mainers.
Read Democratic U.S. Senate candidate Graham Platner's plan to defeat Susan Collins and win back the seat for working Mainers.
Read Democratic U.S. Senate candidate Graham Platner's plan to defeat Susan Collins and win back the seat for working Mainers.
Read Democratic U.S. Senate candidate Graham Platner's plan to defeat Susan Collins and win back the seat for working Mainers.
You shouldn't have to be a billionaire to get a fair deal. Mainers deserve better.
You shouldn't have to be a billionaire to get a fair deal. Mainers deserve better.
You shouldn't have to be a billionaire to get a fair deal. Mainers deserve better.
You shouldn't have to be a billionaire to get a fair deal. Mainers deserve better.
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| Overall score | 50.2/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 87.0 · 0.8 · 62.5 |
| Spend range | USD 5,000–5,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 20.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2026-05-08 → 2026-05-12) |
| Created | 2026-05-08 |
| Creative variants | 4 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Graham Platner |
| Surfaced by | “senate:Graham Platner” |
| Issue | economy taxes |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | workers labor |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Carhartt-clad worker standing in a snowy Maine forest evoking working-class authenticity |
| Tactic | The ad uses a relatable working-class visual paired with a populist anti-billionaire message to contrast Platner with incumbent Susan Collins and appeal to economic fairness sentiment among rural Maine voters. |
| Maine | 100.0% |
| 18-24 · female | 1.5% |
| 45-54 · male | 7.8% |
| 65+ · male | 9.8% |
| 65+ · female | 14.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 8.4% |
| 55-64 · female | 10.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 10.3% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 9.3% |
| 35-44 · female | 11.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 6.5% |
| 25-34 · female | 7.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.2% |