Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate to Peggy Flanagan for U.S. Senate
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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 | 34.2/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 55.8 · 1.1 · 62.5 |
| Spend range | USD 200–299 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 19.96 |
| Est. audience size | — |
| Days live | 5 (2026-04-30 → 2026-05-05) |
| Created | 2026-04-30 |
| 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 | 85.5% |
| California | 1.9% |
| Wisconsin | 1.4% |
| Texas | 0.8% |
| Arizona | 0.8% |
| North Dakota | 0.7% |
| Illinois | 0.6% |
Who saw it (delivery)
| 18-24 · female | 1.1% |
| 45-54 · male | 6.1% |
| 65+ · male | 11.8% |
| 65+ · female | 22.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.1% |
| 55-64 · female | 11.6% |
| 45-54 · unknown | 0.6% |
| 45-54 · female | 11.5% |
| 18-24 · male | 2.2% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 6.3% |
| 35-44 · female | 9.8% |
| 25-34 · unknown | 0.5% |
| 25-34 · male | 4.4% |
| 25-34 · female | 4.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
