Peggy Flanagan for Minnesota
Senator Elizabeth Warren and Senator Tina Smith are fighters. And they’re going to the mat to make sure Peggy Flanagan is elected to the Senate from Minnesota. Chip in $10 to stand with leaders who fight and deliver for working people. These are two leaders who’ve spent their careers taking on standing up for working families and delivering real results – together. That’s the tradition Peggy is running to carry forward. And it matters now more than ever. This Senate race will be one of the most closely watched in the country. Republicans and special interests know it, and they’re planning to spend millions to stop us. Peggy doesn't take corporate PAC money. This campaign is powered by people who believe in bold, people-first leadership. Join Elizabeth Warren and Tina Smith, and chip in today.
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| Overall score | 32.8/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 50.6 · 3.6 · 56.2 |
| Spend range | USD 300–399 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 46.6 |
| Est. audience size | — |
| Days live | 14 (2026-02-20 → 2026-03-06) |
| Created | 2026-02-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Elizabeth Warren and Tina Smith in intimate conversation framing as a high-profile endorsement duo |
| Tactic | Borrowed-credibility tactic leverages two nationally recognized progressive senators to elevate Flanagan's legitimacy and urgency, paired with a low-dollar $10 ask to lower the barrier to donor entry. |
| Minnesota | 69.7% |
| California | 3.7% |
| Wisconsin | 2.1% |
| Florida | 2.0% |
| Washington | 1.5% |
| New York | 1.5% |
| Texas | 1.3% |
| 18-24 · female | 0.2% |
| 45-54 · male | 3.7% |
| 65+ · male | 12.8% |
| 65+ · female | 37.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.1% |
| 55-64 · female | 16.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.7% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 3.0% |
| 35-44 · female | 6.8% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.5% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |