Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate before 9/30
Ad copy
Hey, it's Peggy Flanagan. I'm running for Senate, and my end-of-quarter fundraising deadline is coming up quickly, so I'm asking for your support. While some Democrats cash checks from corporate PACs and billionaire donors), I'm building a grassroots movement. Folks support my campaign $5 at a time, because that's what it's going to take to win. But we're only as strong as the size of our movement, so I need you on this team. Join Elizabeth Warren, Al Franken, and Deb Haaland in supporting my campaign. Every single dollar will go a long way to helping us reach our goal. Thank you. —Peggy
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 51.9 · 0.8 · 59.6 |
| Spend range | USD 200–299 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 29.35 |
| Est. audience size | — |
| Days live | 4 (2025-09-27 → 2025-10-01) |
| Created | 2025-09-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | bold green banner with hard deadline 'DONATE BEFORE 9/30' creating immediate urgency above a warm, selfie-style candidate video |
| Tactic | The ad uses an end-of-quarter deadline combined with a grassroots-vs-corporate-PAC contrast to create urgency and identity-based motivation, leveraging celebrity endorsers (Warren, Franken, Haaland) to validate small-dollar giving. |
Where it ran (delivery by region)
| Minnesota | 81.7% |
| California | 2.3% |
| Wisconsin | 1.4% |
| New York | 0.8% |
| Michigan | 0.8% |
| Texas | 0.7% |
| Illinois | 0.7% |
Who saw it (delivery)
| 18-24 · female | 0.9% |
| 45-54 · male | 3.9% |
| 65+ · male | 12.6% |
| 65+ · female | 26.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 5.3% |
| 55-64 · female | 14.0% |
| 45-54 · unknown | 0.5% |
| 45-54 · female | 12.8% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 3.5% |
| 35-44 · female | 11.0% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.4% |
| 25-34 · female | 4.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
