Graham Platner US Inactive
GRAHAM FOR MAINE
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 54.3/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 95.7 · 1.4 · 67.7 |
| Spend range | USD 6,000–6,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 6 (2026-03-05 → 2026-03-11) |
| Created | 2026-03-05 |
| Creative variants | 0 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | ME — Graham Platner |
| Surfaced by | “senate:Graham Platner” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | professional |
| Who pictured | workers labor, medical |
| Symbols | factory industry |
| Call to action | learn more |
| Standout element | Everyday worker in scrubs/blue collar setting delivering the testimonial directly to camera |
| Tactic | Uses a relatable working-class woman as a surrogate testimonial to build trust on jobs and manufacturing issues, grounding the political message in authentic blue-collar Ohio identity. |
Where it ran (delivery by region)
| Maine | 86.8% |
| Massachusetts | 2.6% |
| Florida | 1.3% |
| New Hampshire | 1.1% |
| New York | 0.8% |
| Connecticut | 0.6% |
| California | 0.6% |
Who saw it (delivery)
| 18-24 · female | 5.8% |
| 45-54 · male | 4.5% |
| 65+ · unknown | 0.1% |
| 65+ · male | 2.7% |
| 65+ · female | 8.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 3.1% |
| 55-64 · female | 7.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.0% |
| 18-24 · male | 3.0% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 7.6% |
| 35-44 · female | 18.2% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 8.9% |
| 25-34 · female | 18.1% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
