Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Peggy Flanagan for Senate
Peggy Flanagan for Senate
Peggy Flanagan for Senate
Donate to Peggy Flanagan
Donate to Peggy Flanagan
Donate to Peggy Flanagan
Ad copy
Can you rush a donation to help send Peggy Flanagan to the U.S. Senate? Any amount makes a major difference ahead of our very first FEC deadline at the end of the month. Thank you in advance 💚
Can you rush a donation to help send Peggy Flanagan to the U.S. Senate? Any amount makes a major difference ahead of our very first FEC deadline at the end of the month. Thank you in advance 💚
Can you rush a donation to help send Peggy Flanagan to the U.S. Senate? Any amount makes a major difference ahead of our very first FEC deadline at the end of the month. Thank you in advance 💚
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.1/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 55.8 · 0.6 · 62.5 |
| Spend range | USD 200–299 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 19.96 |
| Est. audience size | — |
| Days live | 3 (2025-03-27 → 2025-03-30) |
| Created | 2025-03-27 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | FEC deadline urgency framing paired with a simple campaign logo video thumbnail |
| Tactic | Classic deadline-driven fundraising appeal using FEC end-of-month urgency to prompt immediate small-dollar donations. |
Where it ran (delivery by region)
| Minnesota | 33.6% |
| Wisconsin | 9.0% |
| Michigan | 5.6% |
| Washington | 5.0% |
| Illinois | 4.9% |
| Iowa | 4.5% |
| Ohio | 3.2% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 1.8% |
| 65+ · male | 25.4% |
| 65+ · female | 46.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.2% |
| 55-64 · female | 10.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.8% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 1.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.9% |
| 25-34 · female | 0.8% |
| 65+ · unknown | 0.8% |
