Susan Collins US Inactive
COLLINS FOR SENATOR
Susan & Pepper need your help!
DONATE NOW →
Ad copy
Could you throw a dog a bone? Chuck Schumer and his Far Left allies are funneling MILLIONS into Maine. Susan & Pepper need YOUR help to fight back against their lies and false attacks. Chip in just $10 today!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.2/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 81.7 · 13.5 · 57.3 |
| Spend range | USD 6,000–6,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 40.0 |
| Est. audience size | — |
| Days live | 50 (2020-08-11 → 2020-09-30) |
| Created | 2020-08-11 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate sitting on grass petting her black dog, humanizing her with a folksy, unpretentious backyard setting |
| Tactic | Uses a relatable 'throw a dog a bone' hook and the candidate's pet to create warm emotional appeal, then pivots to urgency by framing outside money as a threat, lowering the donation barrier to $10 to maximize conversions. |
Where it ran (delivery by region)
| California | 11.3% |
| Florida | 10.1% |
| Texas | 8.4% |
| New York | 6.6% |
| Pennsylvania | 3.9% |
| Georgia | 3.6% |
| New Jersey | 3.3% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 55-64 · male | 18.5% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 0.5% |
| 18-24 · female | 0.1% |
| 35-44 · male | 1.8% |
| 18-24 · male | 0.5% |
| 45-54 · male | 5.7% |
| 25-34 · male | 1.3% |
| 65+ · unknown | 0.5% |
| 65+ · male | 35.6% |
| 65+ · female | 23.0% |
| 45-54 · female | 2.2% |
| 25-34 · female | 0.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · female | 9.5% |
| 18-24 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
