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 | 57.2/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 94.0 · 17.4 · 69.6 |
| Spend range | USD 4,000–4,499 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 7.73 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 64 (2022-08-25 → 2022-10-28) |
| Created | 2022-08-25 |
| 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 | 99.4% |
| England | 0.1% |
| New Hampshire | 0.1% |
| Massachusetts | 0.0% |
| New York | 0.0% |
| Connecticut | 0.0% |
| Pennsylvania | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 35-44 · female | 13.4% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 3.2% |
| 65+ · female | 12.9% |
| 25-34 · male | 6.0% |
| 35-44 · male | 8.0% |
| 55-64 · male | 6.3% |
| 65+ · male | 6.9% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 11.8% |
| 45-54 · male | 7.0% |
| 45-54 · female | 12.0% |
| 25-34 · female | 9.5% |
| 65+ · unknown | 0.2% |
| 18-24 · male | 1.8% |
| 35-44 · unknown | 0.3% |
| 25-34 · unknown | 0.2% |
