Graham Platner US Inactive
GRAHAM FOR MAINE
Ad copy
It's time to name our enemy: the corrupt billionaires and politicians who sell us out.
It's time to name our enemy: the corrupt billionaires and politicians who sell us out.
It's time to name our enemy: the corrupt billionaires and politicians who sell us out.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 54.3/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 95.7 · 1.9 · 68.9 |
| Spend range | USD 5,000–5,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 8.46 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 8 (2026-04-14 → 2026-04-22) |
| Created | 2026-04-14 |
| Creative variants | 3 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Graham Platner |
| Surfaced by | “senate:Graham Platner” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | blurred abstract warm-to-cool gradient video thumbnail with no faces or text — pure mood over message |
| Tactic | The ad uses blunt populist enemy-naming rhetoric ('corrupt billionaires and politicians who sell us out') repeated three times to drive emotional resonance and tribal identity, bypassing policy specifics in favor of raw anger mobilization. |
Where it ran (delivery by region)
| Maine | 100.0% |
| Unknown | 0.0% |
| Texas | 0.0% |
| California | 0.0% |
| Illinois | 0.0% |
| Massachusetts | 0.0% |
| New Hampshire | 0.0% |
Who saw it (delivery)
| 18-24 · female | 3.0% |
| 45-54 · male | 9.5% |
| 65+ · male | 9.3% |
| 65+ · female | 8.6% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 9.4% |
| 55-64 · female | 7.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.6% |
| 18-24 · male | 6.4% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 12.4% |
| 35-44 · female | 8.3% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 11.9% |
| 25-34 · female | 6.2% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.2% |
