Mills for Maine
Help Janet defeat Susan Collins and flip the Senate blue!
๐ ๐๐๐๐: A MAGA super PAC dropped $4 MILLION to boost Susan Collins and tip the scales in Maineโs Senate race. ๐๐๐ ๐๐๐๐: A brand-new poll found us TIED with Collins โ meaning every dollar makes a HUGE impact in a race that could be decided by just a few votes! ๐๐๐: We need 243 more donations by midnight to stay on track towards hitting our daily fundraising goal! Maine is the most flippable Republican-held Senate seat in the entire country, but all our hopes will be CRUSHED if we let MAGA money drown us out. ๐๐ฎ๐ฌ๐ก ๐ $๐๐ ๐๐จ๐ง๐๐ญ๐ข๐จ๐ง ๐ง๐จ๐ฐ ๐ญ๐จ ๐ก๐๐ฅ๐ฉ ๐ฎ๐ฌ ๐ก๐ข๐ญ ๐จ๐ฎ๐ซ $๐,๐๐๐ ๐๐๐ข๐ฅ๐ฒ ๐ ๐จ๐๐ฅ, ๐๐๐๐๐๐ญ ๐๐ฎ๐ฌ๐๐ง ๐๐จ๐ฅ๐ฅ๐ข๐ง๐ฌ, ๐๐ง๐ ๐๐ฅ๐ข๐ฉ ๐ญ๐ก๐ ๐๐๐ง๐๐ญ๐ >>
โ View in Meta Ad Library (the live creative โ image/video/layout)
| Overall score | 41.9/100 |
| Spend / Reach / Long. / Eff. | 38.3 ยท 63.8 ยท 11.6 ยท 53.8 |
| Spend range | USD 1,500โ1,999 |
| Impressions | 25,000 โ 29,999 |
| CPM (โ $/1k impr) | USD 63.62 |
| Est. audience size | 100,001 โ 500,000 |
| Days live | 43 (2026-01-29 โ 2026-03-13) |
| Created | 2026-01-27 |
| Creative variants | 1 body ยท 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME โ Janet Mills |
| Surfaced by | โsenate:Janet Millsโ |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Tied poll bar chart showing Mills and Collins at identical 43% with contrasting blue and red bars |
| Tactic | Classic fundraising urgency tactic combining a threat frame (MAGA super PAC money) with a tied-poll opportunity frame and a concrete donation countdown to drive immediate small-dollar contributions. |
| California | 11.2% |
| Maine | 8.6% |
| Florida | 7.8% |
| Massachusetts | 7.4% |
| New York | 6.6% |
| Pennsylvania | 3.8% |
| Washington | 3.4% |
| 18-24 ยท female | 0.0% |
| 45-54 ยท male | 1.9% |
| 65+ ยท male | 30.6% |
| 65+ ยท female | 42.8% |
| 55-64 ยท unknown | 0.2% |
| 55-64 ยท male | 7.6% |
| 55-64 ยท female | 9.3% |
| 45-54 ยท unknown | 0.1% |
| 45-54 ยท female | 2.5% |
| 18-24 ยท male | 0.1% |
| 35-44 ยท unknown | 0.1% |
| 35-44 ยท male | 1.2% |
| 35-44 ยท female | 1.1% |
| 25-34 ยท unknown | 0.1% |
| 25-34 ยท male | 0.7% |
| 25-34 ยท female | 0.7% |
| 18-24 ยท unknown | 0.0% |
| 65+ ยท unknown | 0.9% |