Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate to Peggy Flanagan for U.S. Senate
Donate to Peggy Flanagan for U.S. Senate
Ad copy
Before you scroll past, I need you with me for a moment. I’m Peggy Flanagan, running for U.S. Senate in Minnesota. My campaign is fueled by people power, not corporate PACs. Volunteers are knocking doors, calling neighbors, and building a coalition that looks like the Minnesota we love. Our polling shows us winning , but we have under 50 days until voting begins. If you believe in a bold, progressive voice for Minnesota in the Senate, rush a donation right now. Every dollar truly matters.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.4/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 50.6 · 1.7 · 56.2 |
| Spend range | USD 300–399 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 46.6 |
| Est. audience size | 100 – 1,000 |
| Days live | 7 (2026-05-12 → 2026-05-19) |
| Created | 2026-05-11 |
| Creative variants | 1 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Minnesota congressional district maps prominently displayed on wall behind candidate, grounding her in electoral geography |
| Tactic | The ad deploys a direct-to-camera urgency appeal combining a polling stat ('we're winning') with a countdown clock ('under 50 days') and a people-power vs. corporate PAC contrast to motivate small-dollar donors before a deadline. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 4.4% |
| 65+ · male | 17.2% |
| 65+ · female | 29.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.3% |
| 55-64 · female | 14.1% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 8.8% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 3.5% |
| 35-44 · female | 7.0% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 2.6% |
| 25-34 · female | 2.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
