ANGIE CRAIG FOR MINNESOTA
Flip the Senate blue
My name is Angie Craig, and I’m counting on you to endorse my campaign to become Minnesota's next U.S. Senator. But first, I want you to know a little bit more about me. My wife, Cheryl, and I chose Minnesota as our home because as Minnesotans, we uniquely understand the importance of family, community and caring for each other. I won't stand idly by while Donald Trump tries to divide our communities and line the pockets of billionaires at the expense of the middle class. It’s why I’m running to defeat him, and before you scroll away, I just have one request: Will you please add your name to personally endorse my candidacy for Senate? We need grassroots momentum, and your endorsement would mean the world to me. ENDORSE ANGIE'S CAMPAIGN NOW >>>
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| Overall score | 44.9/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 63.8 · 26.2 · 60.2 |
| Spend range | USD 700–799 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 27.26 |
| Est. audience size | — |
| Days live | 96 (2025-07-10 → 2025-10-14) |
| Created | 2025-07-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Angie Craig |
| Surfaced by | “senate:Angie Craig” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | hope |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | farm rural, family |
| Call to action | sign petition |
| Standout element | Candidate in casual plaid shirt against a rustic barn backdrop, projecting approachable Midwestern authenticity |
| Tactic | The endorsement-as-list-building tactic pairs a warm, relatable introduction with a low-barrier ask — adding one's name — to capture supporter data while framing Craig as a community-oriented fighter against Trump and billionaires. |
| Minnesota | 9.2% |
| California | 9.2% |
| Texas | 6.9% |
| Florida | 5.3% |
| New York | 4.7% |
| Ohio | 4.4% |
| Illinois | 4.1% |
| 18-24 · female | 0.8% |
| 45-54 · male | 3.5% |
| 65+ · male | 30.3% |
| 65+ · female | 28.5% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.7% |
| 55-64 · female | 12.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.9% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 1.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.4% |
| 25-34 · female | 1.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |