Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
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Ad copy
That’s right – Peggy just visited the pie capital of Minnesota. Minnesota is famous for its French Silk Pies, and Peggy is sharing her easy recipe. Make a donation of any amount, and the recipe is yours. A $5 donation might seem small, but it adds up fast when thousands of us come together to take back the majority and build a government that works for us. Chip in today, and we’ll send you Peggy’s tried-and-true pie recipe.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 53.0 · 0.3 · 57.9 |
| Spend range | USD 300–399 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 36.79 |
| Est. audience size | — |
| Days live | 2 (2026-06-06 → 2026-06-08) |
| Created | 2026-06-03 |
| Creative variants | 1 body · 1 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 | hope |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | playful 'PIE > CORPORATE PAC MONEY' headline turning a folksy pie recipe into a populist anti-PAC fundraising hook |
| Tactic | Uses a lighthearted pie-recipe incentive to lower the psychological barrier to a small donation while simultaneously framing the ask as a David-vs-Goliath stand against corporate PAC money, maximizing both warmth and urgency. |
Where it ran (delivery by region)
| Minnesota | 82.7% |
| California | 1.9% |
| Wisconsin | 1.7% |
| Washington | 1.3% |
| New York | 1.0% |
| Illinois | 1.0% |
| Michigan | 0.7% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 18-24 · male | 0.5% |
| 18-24 · unknown | 0.0% |
| 25-34 · female | 2.9% |
| 25-34 · male | 2.7% |
| 25-34 · unknown | 0.4% |
| 35-44 · female | 12.3% |
| 35-44 · male | 6.6% |
| 35-44 · unknown | 0.8% |
| 45-54 · female | 18.2% |
| 45-54 · male | 7.8% |
| 45-54 · unknown | 0.4% |
| 55-64 · female | 31.1% |
| 55-64 · male | 15.2% |
| 55-64 · unknown | 0.8% |
