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
Peggy’s FEC fundraising deadline is on March 31st. Will you chip in before midnight to help us hit our end-of-quarter fundraising goal?
Peggy’s FEC fundraising deadline is on March 31st. Will you chip in before midnight to help us hit our end-of-quarter fundraising goal?
↗ 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 | — |
| Days live | 7 (2026-03-25 → 2026-04-01) |
| Created | 2026-03-25 |
| Creative variants | 2 body · 2 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in casual denim jacket with a Minnesota state flag visible behind her, creating an authentic, unpolished selfie-style video appeal |
| Tactic | The FEC deadline urgency tactic combined with an unscripted, casual video format is designed to create personal connection and spur immediate small-dollar donations before midnight. |
Where it ran (delivery by region)
| Minnesota | 87.7% |
| California | 1.3% |
| Wisconsin | 1.2% |
| Arizona | 1.0% |
| Florida | 0.8% |
| Illinois | 0.7% |
| Texas | 0.7% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 2.3% |
| 65+ · male | 14.9% |
| 65+ · female | 41.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.2% |
| 55-64 · female | 15.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.7% |
| 18-24 · male | 0.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.1% |
| 35-44 · female | 4.9% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 1.3% |
| 25-34 · female | 2.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.9% |
