Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate to Peggy Flanagan for U.S. Senate
Donate to Peggy Flanagan for U.S. Senate
Ad copy
There are only FOUR moms with kids in the Senate. If you’re ready to see that change, pitch in to send this mom to the U.S. Senate >>
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 | 32.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 50.6 · 2.8 · 58.7 |
| Spend range | USD 200–299 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 33.27 |
| Est. audience size | — |
| Days live | 11 (2026-06-08 → 2026-06-19) |
| Created | 2026-06-08 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | family |
| Call to action | donate |
| Standout element | Candidate's direct, composed gaze paired with the striking 'only FOUR moms' scarcity framing in the copy |
| Tactic | Uses identity-based representation appeal — highlighting the rarity of Senate moms — to convert emotional solidarity into urgent fundraising action before a deadline. |
Where it ran (delivery by region)
| Minnesota | 86.1% |
| California | 1.5% |
| Wisconsin | 1.4% |
| North Dakota | 0.8% |
| New York | 0.7% |
| Texas | 0.7% |
| Washington | 0.7% |
Who saw it (delivery)
| 18-24 · female | 1.2% |
| 45-54 · male | 6.9% |
| 65+ · male | 11.8% |
| 65+ · female | 17.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 3.2% |
| 55-64 · female | 5.5% |
| 45-54 · unknown | 0.5% |
| 45-54 · female | 13.0% |
| 18-24 · male | 1.6% |
| 35-44 · unknown | 0.6% |
| 35-44 · male | 8.5% |
| 35-44 · female | 14.6% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 6.5% |
| 25-34 · female | 7.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
