Susan Collins US Inactive
COLLINS FOR SENATOR
Sign up today to get the most urgent news on Susan Collins's crucial campaign.
Click here to join Susan Collins - Defend Maine!
Ad copy
The chips are DOWN! There is only one path to stop Chuck Schumer and Bernie Sanders’ Far-Left radical agenda: Join Susan Collins and help her FIGHT BACK!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.3/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 73.9 · 16.5 · 53.9 |
| Spend range | USD 4,500–4,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 63.33 |
| Est. audience size | — |
| Days live | 61 (2025-11-06 → 2026-01-06) |
| Created | 2025-11-06 |
| 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 | positive candidate |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bold red background with Maine state outline and arms-crossed defiant candidate pose beneath 'FIGHT' in large teal glitch-style text |
| Tactic | The ad uses urgency and fear-of-the-left framing — naming Schumer and Sanders by name — to drive email list sign-ups by positioning Collins as the sole firewall against a radical agenda. |
Where it ran (delivery by region)
| Florida | 7.1% |
| California | 6.3% |
| Texas | 6.2% |
| New York | 5.5% |
| Pennsylvania | 5.3% |
| Ohio | 4.6% |
| Maine | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.7% |
| 65+ · male | 33.5% |
| 65+ · female | 35.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 11.4% |
| 55-64 · female | 10.5% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.5% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.0% |
| 35-44 · female | 0.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.9% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
