Janet Mills US Inactive
Mills for Maine
This race is a virtual toss up
We’re gearing up for a close race in Maine and we need your help. Donate today.
Ad copy
BREAKING: A new poll shows Governor Mills ahead of extremist Paul LePage by only 3 points - well within the margin of error. With so much on the line, we need your help to break out of this statistical dead heat. We can’t risk losing all our hard-fought progress to LePage — we have to fight back. That’s why we’re doing everything we can to win this election. Can you rush a $5 donation right now to help Gov. Mills win in November?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 41.4/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 65.4 · 9.6 · 61.4 |
| Spend range | USD 700–799 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 23.06 |
| Est. audience size | — |
| Days live | 36 (2022-07-11 → 2022-08-16) |
| Created | 2022-07-11 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative, making the poll-driven urgency pitch the sole persuasive element |
| Tactic | Classic toss-up fundraising alarm tactic — citing a poll showing a narrow 3-point gap to manufacture urgency and drive small-dollar donations before a perceived crisis moment. |
Where it ran (delivery by region)
| Massachusetts | 9.1% |
| California | 9.0% |
| New York | 8.0% |
| Pennsylvania | 5.5% |
| Florida | 4.7% |
| Michigan | 4.1% |
| Washington | 3.6% |
Who saw it (delivery)
| 13-17 · female | 0.0% |
| 45-54 · male | 4.5% |
| 18-24 · female | 0.2% |
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.4% |
| 65+ · unknown | 0.8% |
| 45-54 · female | 3.6% |
| 35-44 · female | 1.7% |
| 55-64 · male | 11.6% |
| 65+ · female | 31.0% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 1.7% |
| 65+ · male | 30.0% |
| 55-64 · female | 10.6% |
| 35-44 · male | 2.4% |
| 35-44 · unknown | 0.1% |
| 18-24 · male | 0.3% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
