Angie Craig US Inactive
ANGIE CRAIG FOR MINNESOTA
Quick message
Ad copy
Angie and her wife Cheryl are fighting to keep Minnesota’s Senate seat BLUE! This open seat could decide which party gains Senate control. If we want to stop Trump’s authoritarian agenda, it starts with helping candidates like Angie take on the MAGA money machine. Will you chip in $10 or anything you can to help elect Angie Craig today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.5/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 65.4 · 19.0 · 55.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 53.83 |
| Est. audience size | — |
| Days live | 70 (2025-12-01 → 2026-02-09) |
| Created | 2025-12-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Angie Craig |
| Surfaced by | “senate:Angie Craig” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, family children |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate and wife side-by-side in casual-yet-professional pairing with Prince symbol hoodie humanizing the duo |
| Tactic | The ad uses a personal family introduction combined with high-stakes Senate control framing to create emotional investment before delivering a low-bar $10 fundraising ask. |
Where it ran (delivery by region)
| Minnesota | 22.4% |
| California | 10.8% |
| Florida | 5.4% |
| New York | 5.0% |
| Washington | 3.9% |
| Massachusetts | 3.2% |
| Texas | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 2.5% |
| 65+ · male | 18.0% |
| 65+ · female | 36.6% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 6.6% |
| 55-64 · female | 16.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.3% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 2.1% |
| 35-44 · female | 4.5% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 1.5% |
| 25-34 · female | 2.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.7% |
