Janet Mills US Inactive
Mills for Maine
Pulse Newsletter: Mills Makes History By Committing To Fully Fund Education
In this week’s newsletter: The governor’s historic education funding proposal; the Maine State Chamber of Commerce organizes anti-public power group; pandemic-induced gas tax losses; the anti-vax side hustle; no more guests for a GOP state lawmaker; and the national media’s obsession with Jare...
Ad copy
Mills Makes History By Committing To Fully Fund Education
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 85.0 · 3.3 · 72.1 |
| Spend range | USD 1,000–1,499 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 5.55 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 13 (2022-10-27 → 2022-11-09) |
| Created | 2022-10-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
🧠 AI analysis
| Issue | education |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative, leaving only the policy violation notice visible |
| Tactic | The ad leverages a historic education funding commitment as a credibility builder, using a newsletter headline to borrow third-party authority, though the creative was pulled for a disclaimer violation before it could fully deliver its persuasive message. |
Where it ran (delivery by region)
| Maine | 99.8% |
| Massachusetts | 0.0% |
| New Hampshire | 0.0% |
| New Brunswick | 0.0% |
| New York | 0.0% |
| South Carolina | 0.0% |
| England | 0.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.2% |
| 65+ · female | 11.1% |
| 18-24 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 18-24 · male | 1.4% |
| 25-34 · male | 6.3% |
| 25-34 · female | 10.2% |
| 65+ · male | 6.4% |
| 45-54 · male | 7.8% |
| 65+ · unknown | 0.1% |
| 35-44 · male | 8.6% |
| 55-64 · male | 7.0% |
| 55-64 · female | 10.9% |
| 35-44 · female | 14.5% |
| 45-54 · female | 12.2% |
| 55-64 · unknown | 0.1% |
| 18-24 · female | 2.7% |
| 35-44 · unknown | 0.2% |
