Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate to Peggy Flanagan for U.S. Senate
Ad copy
We are less than 100 days from our election. We just learned that this is likely to be the most expensive race ever in Minnesota history - and your support has never been more important. Can you pitch in before my critical deadline?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.8/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 59.2 · 2.5 · 57.9 |
| Spend range | USD 600–699 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 37.12 |
| Est. audience size | — |
| Days live | 10 (2026-06-19 → 2026-06-29) |
| Created | 2026-06-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| 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 | Candidate speaking directly to camera outdoors with mid-speech subtitle 'powerful with' overlaid in bold yellow text |
| Tactic | Creates urgency through milestone framing ('less than 100 days') and scarcity appeal ('most expensive race ever') to drive immediate donations before a deadline. |
Where it ran (delivery by region)
| Minnesota | 88.4% |
| California | 1.5% |
| Wisconsin | 1.2% |
| Washington | 0.8% |
| Illinois | 0.7% |
| New York | 0.6% |
| Colorado | 0.6% |
Who saw it (delivery)
| 18-24 · female | 2.5% |
| 45-54 · unknown | 0.3% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 6.2% |
| 65+ · female | 13.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.4% |
| 55-64 · female | 12.1% |
| 45-54 · male | 6.5% |
| 18-24 · male | 2.6% |
| 45-54 · female | 11.3% |
| 35-44 · unknown | 0.6% |
| 35-44 · male | 9.0% |
| 35-44 · female | 13.1% |
| 25-34 · unknown | 0.5% |
| 25-34 · male | 7.7% |
| 25-34 · female | 8.8% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
