Susan Collins US Inactive
COLLINS FOR SENATOR
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Ad copy
Maine faces a direct threat from out-of-state liberals like Bernie Sanders and Chuck Schumer, who are trying to push their radical agenda and buy our Senate seat. They think they can flood our state with millions in dark money and dictate our future. But they don't know Mainers! Senator Susan Collins stands strong, independent, and focused on putting Maine First. She answers to Mainers, not the socialist agenda from Far-Left Radicals. A powerful wave of grassroots support is our only chance to fight back against their lies and defend Maine's independence. Will you stand with Susan Collins and tell Bernie & Chuck to leave Maine alone?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.0/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 78.0 · 5.5 · 59.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 28.88 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 21 (2026-02-12 → 2026-03-05) |
| Created | 2026-02-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Susan Collins |
| Surfaced by | “senate:Susan Collins” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | professional |
| Who pictured | opponent |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Desaturated black-and-white photos of Sanders and Schumer on a dark teal background with bold orange confrontational text calling them out by first name |
| Tactic | The ad uses an outsider-threat frame — naming and visually isolating two nationally polarizing Democrats — to trigger defensive state pride and drive small-dollar donations to 'protect' Maine from dark money. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 25-34 · female | 0.0% |
| 25-34 · male | 0.1% |
| 35-44 · female | 4.8% |
| 35-44 · male | 5.8% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 5.8% |
| 45-54 · male | 7.9% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 12.7% |
| 55-64 · male | 16.4% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 21.9% |
| 65+ · male | 23.8% |
| 65+ · unknown | 0.4% |
