Janet Mills US Inactive
Mills for Maine
Democrats, turn up the sound!
Chip in >>
Ad copy
I’m Maine Governor Janet Mills, and I’m launching my campaign for the United States Senate. This is going to be the most consequential Senate race in the country. To show our strength from Day One, we’re setting a big goal: 10,000 Founding Donors. If we reach our goal, we can flip Maine’s GOP Senate seat blue. Can I count on you to chip in $10 today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.6/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 80.0 · 0.8 · 53.2 |
| Spend range | USD 9,000–9,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 69.09 |
| Est. audience size | — |
| Days live | 4 (2025-10-14 → 2025-10-18) |
| Created | 2025-10-14 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Pine tree logo paired with bold 'MILLS FOR MAINE' wordmark in green and navy evoking Maine's natural identity |
| Tactic | The '10,000 Founding Donors' milestone tactic creates social proof and urgency, making early donors feel like essential stakeholders in a high-stakes campaign launch. |
Where it ran (delivery by region)
| Maine | 10.2% |
| Massachusetts | 10.0% |
| California | 9.7% |
| New York | 7.5% |
| Florida | 4.5% |
| Pennsylvania | 3.8% |
| New Jersey | 3.2% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 4.1% |
| 65+ · male | 22.7% |
| 65+ · female | 34.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 10.0% |
| 55-64 · female | 12.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.7% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.3% |
| 35-44 · female | 3.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.9% |
| 25-34 · female | 1.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |
