Janet Mills US Inactive
Mills for Maine
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Janet Mills: Putting Maine First
Ad copy
Gov. Mills is putting Maine first. She has balanced every budget, cut taxes, and put money directly back into the pockets of Mainers by providing $850 in inflation relief.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.4/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 81.7 · 3.6 · 60.5 |
| Spend range | USD 4,000–4,499 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 26.15 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 14 (2022-10-26 → 2022-11-09) |
| Created | 2022-10-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | neutral |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook ad removal notice obscuring the original creative entirely |
| Tactic | The ad is inaccessible due to a platform disclaimer violation takedown, making evaluation of its persuasion tactic reliant solely on copy touting fiscal responsibility and tangible inflation relief payments. |
Where it ran (delivery by region)
| Maine | 99.8% |
| New Hampshire | 0.0% |
| Massachusetts | 0.0% |
| New Brunswick | 0.0% |
| Florida | 0.0% |
| New York | 0.0% |
| Arizona | 0.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.2% |
| 25-34 · male | 5.5% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 10.4% |
| 18-24 · male | 1.3% |
| 35-44 · female | 9.8% |
| 45-54 · male | 6.6% |
| 65+ · female | 20.2% |
| 55-64 · female | 13.2% |
| 35-44 · unknown | 0.3% |
| 25-34 · female | 7.0% |
| 55-64 · male | 6.9% |
| 18-24 · female | 1.5% |
| 45-54 · female | 9.3% |
| 35-44 · male | 7.3% |
| 65+ · unknown | 0.3% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
