Janet Mills US Inactive
Mills for Maine
Key Race Alert: Mills vs. LePage
Show your support with a contribution.
Ad copy
NEW: CNN just listed Maine as one of the key Governor’s races to watch this fall. Polls are tight, and we can’t afford to take any vote for granted while Paul LePage and the GOP spend millions to defeat Janet. With issues like reproductive rights, the economy, education, health care, and climate on the ballot this year, your support can keep Maine moving forward. Donate $10 right now to help re-elect Governor Mills and defeat Paul LePage.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.1/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 61.7 · 10.2 · 56.9 |
| Spend range | USD 900–999 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 42.2 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 38 (2022-09-09 → 2022-10-17) |
| Created | 2022-09-08 |
| 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 | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative, revealing the ad was flagged for missing disclaimer |
| Tactic | The ad leverages a CNN 'key race' citation to create urgency and legitimacy, pairing multi-issue stakes with a direct $10 donation ask to drive fundraising against a named opponent. |
Where it ran (delivery by region)
| Maine | 61.2% |
| Massachusetts | 6.0% |
| New York | 3.4% |
| New Hampshire | 2.9% |
| California | 2.7% |
| Vermont | 2.3% |
| Connecticut | 2.0% |
Who saw it (delivery)
| 13-17 · female | 0.0% |
| 65+ · female | 41.4% |
| 18-24 · male | 0.1% |
| 55-64 · unknown | 0.4% |
| 25-34 · male | 0.9% |
| 35-44 · male | 1.8% |
| 55-64 · female | 14.2% |
| 65+ · male | 19.3% |
| 35-44 · female | 4.0% |
| 45-54 · female | 6.6% |
| 18-24 · unknown | 0.0% |
| 45-54 · male | 2.5% |
| 55-64 · male | 6.2% |
| 25-34 · female | 1.3% |
| 65+ · unknown | 0.8% |
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
