Susan Collins US Inactive
COLLINS FOR SENATOR
V-I-C-T-O-R-Y
A major win for public servants across Maine
Ad copy
This is a WIN for Mainers! Senator Susan Collins' landmark bill is now law, guaranteeing public servants like teachers, firefighters, and police officers get the Social Security benefits they've earned. This huge win for Maine is a testament to Senator Collins' unwavering commitment to our state's dedicated public servants. Stand with Senator Collins and show your appreciation for her leadership. Add your name now to celebrate this major victory for Maine.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.6/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 81.7 · 27.3 · 67.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 10.77 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 100 (2025-05-23 → 2025-08-31) |
| 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, family |
| Call to action | sign petition |
| Standout element | Illustrated diverse group of public servants (police, firefighters, teachers, nurses) emerging from the silhouette of Maine's state outline on a bright blue dotted background |
| Tactic | The ad leverages a legislative victory as a 'name-add' list-building moment, converting civic pride and gratitude into supporter data by framing the CTA as celebrating — not campaigning — thus lowering resistance. |
Where it ran (delivery by region)
| Maine | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 7.0% |
| 65+ · male | 18.7% |
| 65+ · female | 26.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 13.3% |
| 55-64 · female | 11.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.3% |
| 18-24 · male | 1.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.3% |
| 35-44 · female | 3.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.6% |
| 25-34 · female | 1.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
