Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate to Peggy Flanagan for U.S. Senate
Ad copy
Peggy here. You’ve heard me say this before: we win when we show up together. But this month, we fell short of our fundraising goal. We didn’t hit last month’s numbers, just as we’re scaling up to reach voters over the last 75 days. I do NOT want to roll back our efforts now. Please, can you donate today so we can make up the difference and stay strong?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.1/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 50.6 · 0.6 · 56.2 |
| Spend range | USD 300–399 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 46.6 |
| Est. audience size | — |
| Days live | 3 (2026-06-19 → 2026-06-22) |
| 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 | other |
| 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 casual striped tee speaking directly to camera in an unscripted, personal appeal style |
| Tactic | First-person fundraising confession of missing goals creates urgency and personal accountability to motivate donors to close the gap. |
Where it ran (delivery by region)
| Minnesota | 89.3% |
| California | 1.5% |
| Wisconsin | 1.5% |
| Washington | 0.6% |
| New York | 0.6% |
| Illinois | 0.5% |
| Colorado | 0.4% |
Who saw it (delivery)
| 18-24 · female | 1.2% |
| 45-54 · unknown | 0.3% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.3% |
| 65+ · male | 6.7% |
| 65+ · female | 16.9% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 5.3% |
| 55-64 · female | 14.6% |
| 45-54 · male | 5.6% |
| 18-24 · male | 1.5% |
| 45-54 · female | 12.1% |
| 35-44 · unknown | 0.4% |
| 35-44 · male | 7.7% |
| 35-44 · female | 14.1% |
| 25-34 · unknown | 0.6% |
| 25-34 · male | 5.7% |
| 25-34 · female | 6.9% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |
