Janet Mills US Inactive
Mills for Maine
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Time is Running Out | Mills for Maine
Show your support with a contribution.
Ad copy
Help us stand against the attacks and keep Maine moving forward. Donate now >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.1/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 65.4 · 5.0 · 62.5 |
| Spend range | USD 600–699 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 19.98 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 19 (2022-10-10 → 2022-10-29) |
| Created | 2022-10-07 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removal notice replacing the actual ad creative |
| Tactic | The ad leverages urgency and a sense of being under attack to drive donations, though the actual creative is obscured by a platform policy removal notice, undermining its persuasive impact. |
Where it ran (delivery by region)
| Maine | 100.0% |
| New Hampshire | 0.0% |
| South Carolina | 0.0% |
| Georgia | 0.0% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 45-54 · female | 11.0% |
| 65+ · unknown | 0.4% |
| 25-34 · unknown | 0.3% |
| 35-44 · unknown | 0.3% |
| 35-44 · female | 7.2% |
| 35-44 · male | 4.9% |
| 45-54 · male | 6.8% |
| 55-64 · male | 9.7% |
| 65+ · male | 12.5% |
| 18-24 · female | 0.5% |
| 55-64 · unknown | 0.4% |
| 55-64 · female | 17.3% |
| 65+ · female | 22.4% |
| 25-34 · female | 3.2% |
| 18-24 · male | 0.5% |
| 25-34 · male | 2.3% |
| 45-54 · unknown | 0.3% |
| 18-24 · unknown | 0.1% |
