Angie Craig US Inactive
ANGIE CRAIG FOR MINNESOTA
Help Angie fight Trump
Flip the Senate blue
Ad copy
🔴 U.S. SENATE ALERT - ENDORSEMENT NEEDED 🔵 Congresswoman Angie Craig is running for U.S. Senate in Minnesota! Experts at the Cook Political Report are already saying Minnesota will be one of the most competitive Senate races of the year, so Angie will need a strong grassroots movement to pull it off. That’s why we need a surge of 25,000 grassroots supporters – including YOU – to endorse Angie's candidacy for Senate before 11:59 p.m. tonight. Will you add your name right now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 55.9/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 70.7 · 56.5 · 61.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 22.72 |
| Est. audience size | — |
| Days live | 206 (2025-07-14 → 2026-02-05) |
| Created | 2025-07-14 |
| 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 | list building survey |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold red 'ENDORSE' button overlaid on candidate photo mimics a real endorsement action button, creating interactive urgency |
| Tactic | The list-building tactic uses artificial deadline pressure ('before 11:59 p.m. tonight') and a Cook Political Report credibility cite to convert passive scrollers into named grassroots supporters. |
Where it ran (delivery by region)
| Minnesota | 9.8% |
| California | 8.2% |
| Texas | 6.8% |
| Florida | 6.2% |
| Ohio | 4.4% |
| New York | 4.4% |
| Michigan | 4.0% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 3.2% |
| 65+ · male | 31.6% |
| 65+ · female | 30.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 11.5% |
| 55-64 · female | 11.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.5% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.5% |
| 35-44 · female | 1.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.4% |
| 25-34 · female | 1.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
