Susan Collins US Inactive
COLLINS FOR SENATOR
Susan Collins Delivers $87 Million for Maine Fire Stations
Restoring rural fire stations to keep Mainers safe!
Ad copy
Susan Collins is delivering for rural Maine. With over $87 million secured to restore local fire stations, she is providing the resources necessary to keep our families safe and our first responders ready. Protecting Maine’s communities and delivering real results - that is Susan Collins’ priority.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 55.4/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 97.1 · 5.2 · 72.8 |
| Spend range | USD 3,500–3,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 5.0 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 20 (2026-05-01 → 2026-05-21) |
| Created | 2026-04-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Susan Collins |
| Surfaced by | “senate:Susan Collins” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | candidate, police |
| Symbols | none |
| Call to action | learn more |
| Standout element | Collins standing with uniformed first responders in front of a fire truck, lending authentic credibility to her deliverable claim |
| Tactic | The ad uses a concrete dollar figure ($87 million) anchored to a tangible local benefit — fire station restoration — to build trust and reinforce an incumbent's record of delivering results for rural constituents. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 18-24 · female | 8.4% |
| 45-54 · male | 8.4% |
| 65+ · unknown | 0.1% |
| 65+ · male | 6.2% |
| 65+ · female | 6.1% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 7.7% |
| 55-64 · female | 6.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.4% |
| 18-24 · male | 7.8% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.4% |
| 35-44 · female | 7.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 13.9% |
| 25-34 · female | 10.1% |
| 18-24 · unknown | 0.1% |
| Unknown · female | 0.0% |
