Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Rush a donation before our FEC deadline >>
Ad copy
I am once again asking for your financial support. Our end-of-the-year fundraising deadline is coming up and it’s all of us against the corporate special interests and billionaires on the other side. I’m the only candidate in this race who’s committed to not taking a dime of corporate PAC money, and that matters because I want to work for real people, not special interests and corporations. So if you can pitch in $5 today, help us finish strong and get across the finish line. I’d appreciate it. Thanks so much.
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Performance proxies
| Overall score | 40.5/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 63.8 · 5.2 · 52.0 |
| Spend range | USD 2,000–2,499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 81.8 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 20 (2025-12-12 → 2026-01-01) |
| Created | 2025-12-12 |
| Creative variants | 1 body · 1 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 | Candidate in colorful Indigenous-patterned skirt and casual winter gear standing in a snowy suburban neighborhood, projecting everyday authenticity |
| Tactic | Leverages FEC deadline urgency combined with a populist 'us vs. billionaires' frame and a no-corporate-PAC pledge to motivate small-dollar donors through both time pressure and moral contrast. |
Where it ran (delivery by region)
| Minnesota | 73.5% |
| California | 3.5% |
| Wisconsin | 1.9% |
| Washington | 1.5% |
| New York | 1.4% |
| Illinois | 1.2% |
| Florida | 1.1% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 3.6% |
| 65+ · unknown | 0.6% |
| 65+ · male | 17.6% |
| 65+ · female | 30.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.5% |
| 55-64 · female | 12.3% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 10.9% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 3.3% |
| 35-44 · female | 9.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 2.0% |
| 25-34 · female | 3.2% |
| 18-24 · unknown | 0.0% |
| Unknown · female | 0.0% |
