Peggy Flanagan for Minnesota
Show your support with a contribution.
Chip in $5 to help keep Minnesota’s Senate seat blue. Republicans' top recruit just entered this race. Michele Tafoya is backed by national Republicans and MAGA donors who are ready to spend big to flip this seat. I’m not intimidated. But I don’t take corporate PAC money, so the only way we win is with grassroots support from people like you. This is one of the most closely watched Senate races in the country. Republicans know it. Special interests know it. And they’re preparing to spend millions to stop us. If you can, pitch in $5, $10, or whatever you’re able to help us show real strength and keep Minnesota blue.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 47.1/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 72.4 · 17.4 · 60.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 26.92 |
| Est. audience size | — |
| Days live | 64 (2026-02-18 → 2026-04-23) |
| Created | 2026-02-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | side-by-side polling graphic with Flanagan in color and Tafoya in desaturated black-and-white, reinforcing contrast between the two candidates |
| Tactic | The ad deploys a classic polling-urgency fundraising tactic — showing a tight race with a 3-point lead to create fear of loss and motivate small-dollar donors to act immediately via the prominent 'Donate Now' CTA. |
| Minnesota | 85.2% |
| Wisconsin | 2.0% |
| California | 1.9% |
| Arizona | 1.1% |
| Florida | 0.9% |
| Illinois | 0.7% |
| Washington | 0.6% |
| 18-24 · female | 0.1% |
| 45-54 · male | 3.1% |
| 65+ · unknown | 0.9% |
| 65+ · male | 20.3% |
| 65+ · female | 37.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.4% |
| 55-64 · female | 14.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.4% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.3% |
| 35-44 · female | 4.6% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.8% |
| 25-34 · female | 1.2% |
| 18-24 · unknown | 0.0% |
| Unknown · female | 0.0% |