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: Fighting Inflation
Ad copy
With costs on everything from gas to groceries skyrocketing, we've balanced the budget and given relief checks to hard working Maine people.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 61.7/100 |
| Spend / Reach / Long. / Eff. | 69.6 · 99.5 · 19.3 · 58.5 |
| Spend range | USD 30,000–34,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 34.21 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 71 (2022-08-30 → 2022-11-09) |
| Created | 2022-08-29 |
| 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 | none |
| Symbols | none |
| Call to action | none |
| Standout element | Platform removal notice citing policy violation replaces the original ad creative entirely |
| Tactic | The ad attempted to credit Janet Mills with fiscal relief during inflation but was removed for disclaimer non-compliance, making its persuasion moot and leaving only a meta-message about platform policy enforcement. |
Where it ran (delivery by region)
| Maine | 99.7% |
| Dhaka Division | 0.0% |
| New Brunswick | 0.0% |
| Massachusetts | 0.0% |
| Florida | 0.0% |
| New Hampshire | 0.0% |
| Chittagong Division | 0.0% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 65+ · female | 17.8% |
| 45-54 · female | 10.8% |
| 55-64 · male | 6.8% |
| 45-54 · male | 6.8% |
| 55-64 · female | 13.4% |
| 25-34 · male | 5.5% |
| 35-44 · female | 10.7% |
| 65+ · unknown | 0.2% |
| 65+ · male | 9.2% |
| 13-17 · female | 0.0% |
| 35-44 · male | 7.4% |
| 18-24 · male | 1.4% |
| 25-34 · female | 7.5% |
| 18-24 · female | 1.8% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.2% |
| 55-64 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
