Janet Mills US Inactive
Mills for Maine
One of the most competitive races in 2022
Show your support with a contribution.
Ad copy
URGENT: National Journal just named Maine’s Governor’s race as one of the TEN most competitive races in the country. With polls showing Governor Mills ahead of Paul LePage by single digits, we cannot afford to take this race for granted. Governor Mills has fought hard to improve the lives and livelihoods of Maine people, while LePage and the GOP are doing all they can to take Maine backward. We need to fight back—donate $10 today and help Gov. Mills defeat LePage in November.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.6/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 75.1 · 36.1 · 56.6 |
| Spend range | USD 3,500–3,999 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 44.11 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 132 (2022-06-16 → 2022-10-26) |
| Created | 2022-06-16 |
| 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 what was a urgency-driven fundraising appeal |
| Tactic | The ad leverages a National Journal competitive-race citation and poll-tightening framing to manufacture urgency and drive small-dollar donations against a named opponent. |
Where it ran (delivery by region)
| Maine | 54.1% |
| Massachusetts | 6.3% |
| New York | 4.4% |
| California | 3.4% |
| New Hampshire | 3.4% |
| Vermont | 2.4% |
| Florida | 2.1% |
Who saw it (delivery)
| 13-17 · female | 0.0% |
| 65+ · unknown | 0.8% |
| 35-44 · female | 3.5% |
| 55-64 · male | 7.8% |
| 25-34 · male | 1.0% |
| 45-54 · male | 3.7% |
| 65+ · female | 37.7% |
| 65+ · male | 22.3% |
| 55-64 · female | 12.6% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 18-24 · female | 0.1% |
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 35-44 · male | 2.4% |
| 25-34 · female | 1.2% |
| 35-44 · unknown | 0.1% |
| 18-24 · male | 0.2% |
| 45-54 · female | 6.1% |
