Peggy Flanagan for Minnesota
Send Peggy to Washington!
Folks in Minnesota come from all walks of life, with different experiences, yet we share the same values. If it snows, we’ll help you shovel your driveway. If you move into the neighborhood, we’ll bring you a hotdish (what the rest of you call a casserole). Oh, and you bet we’ll be inviting you over for a potluck, sharing a good meal with good company and good conversation. And let me tell you this, I love a good hotdish. They’re the cornerstone of every gathering, from neighborhood parties to family reunions. To celebrate our shared love for good food and being with our communities, I’m offering something special for a limited time: Make a donation of any amount to my Senate campaign, and I’ll send you my own tried-and-true Wild Rice Hotdish recipe! Donate, and in return, you’ll get one of my special recipes to bring to your next potluck! It's a little taste of Minnesota, straight from my kitchen to yours. Thanks for being a part of our movement!
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| Overall score | 34.1/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 51.9 · 7.4 · 59.6 |
| Spend range | USD 200–299 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 29.35 |
| Est. audience size | — |
| Days live | 28 (2025-09-17 → 2025-10-15) |
| Created | 2025-09-17 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | nostalgia |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | family |
| Call to action | donate |
| Standout element | Gingham tablecloth pattern framing the hotdish recipe offer, evoking homey Midwestern warmth |
| Tactic | Uses cultural specificity (hotdish, potlucks, shoveling driveways) as a relatability tactic to lower donor resistance and tie a fundraising ask to shared community values rather than policy. |
| Minnesota | 85.5% |
| California | 1.8% |
| Wisconsin | 1.6% |
| New York | 0.6% |
| South Dakota | 0.5% |
| Iowa | 0.5% |
| North Dakota | 0.5% |
| 18-24 · female | 1.0% |
| 45-54 · male | 4.0% |
| 65+ · male | 17.0% |
| 65+ · female | 28.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 4.8% |
| 55-64 · female | 10.4% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 9.8% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.7% |
| 35-44 · male | 4.3% |
| 35-44 · female | 9.4% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 2.6% |
| 25-34 · female | 4.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |