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 >>
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 | 34.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 55.8 · 1.9 · 62.5 |
| Spend range | USD 200–299 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 19.96 |
| Est. audience size | — |
| Days live | 8 (2026-06-02 → 2026-06-10) |
| Created | 2026-06-02 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| 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 speaking directly to camera in casual striped tee, projecting approachable authenticity over political polish |
| Tactic | The 'only FOUR moms in the Senate' statistic creates urgency and identity-based appeal, positioning the donation as a historic act of representation rather than just campaign support. |
Where it ran (delivery by region)
| Minnesota | 83.0% |
| California | 2.1% |
| Wisconsin | 1.4% |
| New York | 1.1% |
| Texas | 0.9% |
| Washington | 0.7% |
| Colorado | 0.7% |
Who saw it (delivery)
| 18-24 · female | 6.4% |
| 45-54 · male | 5.6% |
| 65+ · male | 2.1% |
| 65+ · female | 3.7% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 0.9% |
| 55-64 · female | 1.7% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 9.8% |
| 18-24 · male | 6.2% |
| 35-44 · unknown | 0.7% |
| 35-44 · male | 10.8% |
| 35-44 · female | 18.7% |
| 25-34 · unknown | 1.2% |
| 25-34 · male | 13.4% |
| 25-34 · female | 17.7% |
| 18-24 · unknown | 0.5% |
| 65+ · unknown | 0.2% |
