Janet Mills US Inactive
Mills for Maine
Millions are going to be spent against us
Make a contribution today so Gov. Mills can fight back.
Ad copy
URGENT: The Maine GOP plans to spend $3.9 million in TV attack ads against Governor Mills. We’re going to face a lot this election year, and we need to stay ahead of Paul LePage and his special-interest funders. Rush a $10 donation today and help us fight back.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.7/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 61.7 · 26.4 · 61.0 |
| Spend range | USD 500–599 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 24.42 |
| Est. audience size | — |
| Days live | 97 (2022-03-30 → 2022-07-05) |
| Created | 2022-03-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| 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 |
| Tactic | The ad leverages a specific dollar threat ($3.9M in GOP attack ads) to create urgency and drive small-dollar donations against a named opponent, Paul LePage, framing the ask as defensive necessity. |
Where it ran (delivery by region)
| Maine | 16.6% |
| California | 9.7% |
| New York | 5.9% |
| Florida | 5.3% |
| Massachusetts | 4.2% |
| Pennsylvania | 3.7% |
| Washington | 3.6% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 65+ · male | 32.3% |
| 25-34 · unknown | 0.1% |
| 45-54 · male | 2.4% |
| 45-54 · unknown | 0.1% |
| 25-34 · female | 1.0% |
| 25-34 · male | 1.2% |
| 65+ · female | 37.7% |
| 55-64 · female | 9.2% |
| 35-44 · unknown | 0.0% |
| 55-64 · male | 8.4% |
| 35-44 · female | 1.5% |
| 45-54 · female | 2.7% |
| 65+ · unknown | 0.9% |
| 18-24 · male | 0.4% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 0.2% |
| 35-44 · male | 1.4% |
