Susan Collins US Inactive
COLLINS FOR SENATOR
Susan Collins DELIVERS for Maine
Collins for Senator
Ad copy
Susan Collins DELIVERS for York County: ✔️ $45M to replace the Sarah Mildred Long & Memorial Bridges ✔️ $320M for infrastructure projects at the Portsmouth Naval Shipyard in Kittery Experience matters
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.3/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 80.0 · 1.1 · 65.9 |
| Spend range | USD 1,500–1,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 12.72 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 5 (2020-10-25 → 2020-10-30) |
| Created | 2020-10-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Susan Collins |
| Surfaced by | “senate:Susan Collins” |
🧠 AI analysis
| Issue | foreign policy defense |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | none |
| Symbols | military, factory industry |
| Call to action | learn more |
| Standout element | Bold red graphic card with checkmark bullet points listing specific dollar amounts against a dramatic sunset industrial waterfront background |
| Tactic | The ad uses a hyper-local 'deliverables' tactic — anchoring large, specific dollar figures ($45M, $320M) to named local landmarks to make federal funding feel personally tangible to York County voters, reinforcing the 'experience matters' incumbency argument. |
Where it ran (delivery by region)
| Maine | 100.0% |
| New Hampshire | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 55-64 · male | 6.6% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 65+ · male | 3.6% |
| 25-34 · unknown | 0.2% |
| 45-54 · male | 8.5% |
| 18-24 · female | 8.6% |
| 35-44 · female | 8.0% |
| 18-24 · unknown | 0.1% |
| 45-54 · female | 7.0% |
| 25-34 · male | 16.2% |
| 35-44 · male | 10.6% |
| 65+ · female | 4.8% |
| 55-64 · female | 6.5% |
| 18-24 · male | 7.6% |
| 25-34 · female | 11.3% |
| 65+ · unknown | 0.1% |
