Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Peggy for MN
Peggy for MN
Peggy for MN
Donate to Peggy Flanagan
Donate to Peggy Flanagan
Donate to Peggy Flanagan
Ad copy
📢 Hey Team Flanagan 📢: Our first FEC deadline of the campaign is coming up fast. Please, RUSH a donation to make sure our team crushes our fundraising goals before these numbers go public.
📢 Hey Team Flanagan 📢: Our first FEC deadline of the campaign is coming up fast. Please, RUSH a donation to make sure our team crushes our fundraising goals before these numbers go public.
📢 Hey Team Flanagan 📢: Our first FEC deadline of the campaign is coming up fast. Please, RUSH a donation to make sure our team crushes our fundraising goals before these numbers go public.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 51.9 · 1.1 · 63.5 |
| Spend range | USD 100–199 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 17.59 |
| Est. audience size | — |
| Days live | 5 (2025-03-27 → 2025-04-01) |
| 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 | campaign logo on dark gray background with website URL as sole visual anchor |
| Tactic | Classic FEC deadline urgency tactic — leveraging the public disclosure moment to manufacture scarcity and social pressure, pushing supporters to donate before fundraising numbers 'go public.' |
Where it ran (delivery by region)
| Minnesota | 36.1% |
| Wisconsin | 8.7% |
| Michigan | 6.0% |
| Washington | 5.8% |
| Illinois | 4.0% |
| Iowa | 4.0% |
| Oregon | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 2.2% |
| 65+ · male | 25.0% |
| 65+ · female | 43.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 5.0% |
| 55-64 · female | 10.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.8% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.3% |
| 35-44 · male | 2.0% |
| 35-44 · female | 3.0% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 1.3% |
| 25-34 · female | 1.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
