Angie Craig US Inactive
ANGIE CRAIG FOR CONGRESS
Angie Craig for Congress
Ad copy
Our families have lost too many loved ones to fentanyl that has come across our Southern Border. This is unacceptable. That’s why I have taken on the Biden administration and demanded that he use his executive powers to act on border security. And I will continue working with local law enforcement to stop these deadly drugs from coming into our communities.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.6/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 78.0 · 7.7 · 68.9 |
| Spend range | USD 900–999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 8.44 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 29 (2024-09-03 → 2024-10-02) |
| Created | 2024-09-03 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Angie Craig |
| Surfaced by | “senate:Angie Craig” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | professional |
| Who pictured | candidate, police |
| Symbols | border, healthcare, military |
| Call to action | learn more |
| Standout element | candidate flanked by uniformed law enforcement officers conveying police backing and authority |
| Tactic | The ad uses a police endorsement badge and law enforcement backdrop to triangulate a Democratic candidate as tough on crime and border security, borrowing Republican-coded credibility to inoculate against vulnerability on those issues. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
| Michigan | 0.0% |
| Wisconsin | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 18-24 · male | 1.8% |
| 25-34 · unknown | 0.2% |
| 45-54 · unknown | 0.0% |
| 65+ · female | 0.4% |
| 45-54 · female | 3.4% |
| 45-54 · male | 3.6% |
| 65+ · male | 0.4% |
| 55-64 · male | 0.8% |
| 35-44 · unknown | 0.3% |
| 35-44 · female | 22.4% |
| 25-34 · male | 17.1% |
| 35-44 · male | 21.2% |
| 18-24 · female | 3.9% |
| 25-34 · female | 23.6% |
| 55-64 · female | 0.8% |
| 55-64 · unknown | 0.0% |
| 65+ · unknown | 0.0% |
