Mills for Maine
Another four years of Paul LePage will be disastrous for Maine. We can’t let him move us backwards. Make a donation today to join Team Mills.
Unlike former Governor Paul LePage, whose eight disastrous years in office moved Maine backwards, Janet Mills has been able to get Maine back on the right track. She’s expanded healthcare to thousands of people, increased funding to public schools, and has signed legislation to protect our lands and water. If Paul LePage is re-elected, all of this progress will go down the drain. We can’t go backwards. Make a $5 donation right now so we can fight back.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 53.4/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 68.1 · 51.2 · 59.6 |
| Spend range | USD 1,000–1,499 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 29.4 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 187 (2022-01-27 → 2022-08-02) |
| Created | 2022-01-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content removal notice obscures the actual ad creative entirely |
| Tactic | The copy uses a sharp contrast frame — crediting Mills with healthcare expansion and environmental protection while warning that LePage's return would erase all progress — to drive urgency-based small-dollar donations. |
| Maine | 66.8% |
| Massachusetts | 5.4% |
| New Hampshire | 3.4% |
| New York | 2.9% |
| Vermont | 2.2% |
| Florida | 1.9% |
| California | 1.6% |
| 18-24 · unknown | 0.0% |
| 65+ · male | 21.8% |
| 45-54 · unknown | 0.1% |
| 25-34 · female | 1.1% |
| 65+ · unknown | 0.8% |
| 35-44 · female | 3.3% |
| 25-34 · male | 1.1% |
| 55-64 · male | 7.6% |
| 65+ · female | 38.2% |
| 35-44 · unknown | 0.1% |
| 55-64 · female | 14.0% |
| 45-54 · male | 3.1% |
| 45-54 · female | 5.9% |
| 35-44 · male | 2.2% |
| 55-64 · unknown | 0.3% |
| 25-34 · unknown | 0.1% |
| 18-24 · male | 0.2% |
| 18-24 · female | 0.2% |