Susan Collins US Inactive
COLLINS FOR SENATOR
BIG NEWS for Mainers! 🌲🌲🌲
Public Servants will receive their FULL Social Security benefits!
Ad copy
🚨BIG NEWS!🚨Teachers, firefighters, law enforcement officers, and other public servants will receive their earned Social Security benefits due to Susan Collins’ bill being signed into law! This is FANTASTIC NEWS for public servants across Maine. Now we ask you to add your name to STAND with Susan Collins so she can continue working HARD for the Pine Tree State! 🌲
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.9/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 80.0 · 27.5 · 65.9 |
| Spend range | USD 1,500–1,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 12.72 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 101 (2025-05-23 → 2025-09-01) |
| Created | 2025-05-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Susan Collins |
| Surfaced by | “senate:Susan Collins” |
🧠 AI analysis
| Issue | social security medicare |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | workers labor, police, medical |
| Symbols | healthcare, none |
| Call to action | sign petition |
| Standout element | Illustrated diverse group of public servants silhouetted within the shape of Maine's state outline against a bright blue dot-pattern background |
| Tactic | The ad leverages a legislative win as social proof to drive list-building sign-ons, using emotional pride and direct benefit messaging to convert grateful public servants into supporters. |
Where it ran (delivery by region)
| Maine | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 0.9% |
| 45-54 · male | 8.2% |
| 65+ · male | 14.4% |
| 65+ · female | 20.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.9% |
| 55-64 · female | 10.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.2% |
| 18-24 · male | 2.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.9% |
| 35-44 · female | 4.2% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 8.6% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
