Mills for Maine
Rush $15 >>
Gov. Janet Mills here – I’ve got a big announcement: I’m running for the U.S. Senate! We’ve set a big goal of 10,000 Founding Donors to this campaign, and I’m personally asking you to be one of them. Will you chip in $15 or anything you can today? I’m going to need a huge wave of grassroots support to take on the special interests and MAGA bullies who’ll come to Susan Collins’ rescue, like always. If we’re not ready to respond immediately, Republicans could get the upper hand. Will you chip in $15 or more to become a Founding Donor to our campaign and make sure we have the resources to DEFEAT Susan Collins?
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| Overall score | 41.0/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 66.9 · 0.8 · 51.5 |
| Spend range | USD 3,000–3,499 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 86.65 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2025-10-14 → 2025-10-18) |
| Created | 2025-10-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Janet Mills |
| Surfaced by | “senate:Janet Mills” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in rustic barn-like setting with subtitle lower-third branding her title |
| Tactic | Personal direct-ask fundraising tactic leverages the candidate's own voice and a concrete 'Founding Donor' milestone goal to create urgency and community belonging around the $15 entry price point. |
| California | 17.2% |
| Texas | 10.4% |
| Florida | 6.0% |
| Illinois | 5.9% |
| Colorado | 5.5% |
| Georgia | 3.9% |
| Arizona | 3.5% |
| 18-24 · female | 0.2% |
| 45-54 · male | 2.0% |
| 65+ · male | 20.1% |
| 65+ · female | 43.4% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.4% |
| 55-64 · female | 17.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.8% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 0.9% |
| 35-44 · female | 1.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 0.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |