Janet Mills US Inactive
Mills for Maine
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Ad copy
URGENT: Maine voters are headed to the polls, and outside groups are spending big to prop up Paul LePage and defeat Janet. With only days left until Election Day, we need your help now more than ever. Can you donate $10 right now so we can defeat LePage on November 8?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.4/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 61.7 · 5.2 · 61.0 |
| Spend range | USD 500–599 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 24.42 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 20 (2022-10-22 → 2022-11-11) |
| Created | 2022-10-21 |
| 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 | Blank/unloaded image with urgency-driven fundraising copy as the sole persuasion vehicle |
| Tactic | The ad relies entirely on time-pressure language ('URGENT,' 'only days left') and enemy framing around LePage and outside money to drive last-minute small-dollar donations. |
Where it ran (delivery by region)
| Maine | 99.8% |
| New Hampshire | 0.0% |
| New Brunswick | 0.0% |
| Florida | 0.0% |
| Connecticut | 0.0% |
| New York | 0.0% |
| South Carolina | 0.0% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 35-44 · female | 4.4% |
| 25-34 · unknown | 0.1% |
| 18-24 · unknown | 0.1% |
| 25-34 · female | 1.9% |
| 18-24 · male | 0.4% |
| 25-34 · male | 1.4% |
| 65+ · female | 30.8% |
| 55-64 · male | 9.2% |
| 65+ · male | 16.6% |
| 18-24 · female | 0.4% |
| 55-64 · female | 17.9% |
| 45-54 · male | 4.4% |
| 45-54 · female | 8.2% |
| 35-44 · male | 2.8% |
| 65+ · unknown | 0.5% |
| 55-64 · unknown | 0.4% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.2% |
| 13-17 · female | 0.0% |
