Angie Craig US Inactive
ANGIE CRAIG FOR CONGRESS
Angie Craig for Congress
Ad copy
As your congresswoman, I worked with both parties to hire more border patrol agents to secure our border, crack down on cartels trafficking fentanyl, and stop those drugs from coming into our communities. I’m proud to have the endorsement of the Minnesota Police and Peace Officers Association.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.1/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 88.7 · 7.7 · 68.9 |
| Spend range | USD 2,500–2,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 8.46 |
| 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 | immigration |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | candidate, police |
| Symbols | border, none |
| Call to action | learn more |
| Standout element | Bold red-highlighted 'UNACCEPTABLE' text paired with crossed-arms authoritative candidate pose against a dark border scene backdrop |
| Tactic | The ad uses a cross-party credibility tactic — explicitly labeling Craig as a 'Democrat' who takes a tough stance on the border, paired with a police endorsement, to appeal to swing voters who prioritize border security and public safety. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
| Alaska | 0.0% |
| Arizona | 0.0% |
| Indiana | 0.0% |
| Michigan | 0.0% |
| Nevada | 0.0% |
| Texas | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.3% |
| 55-64 · female | 1.1% |
| 18-24 · unknown | 0.1% |
| 45-54 · unknown | 0.0% |
| 65+ · unknown | 0.0% |
| 65+ · female | 0.6% |
| 65+ · male | 0.5% |
| 25-34 · unknown | 0.2% |
| 35-44 · female | 23.6% |
| 55-64 · male | 0.9% |
| 45-54 · female | 3.9% |
| 45-54 · male | 3.3% |
| 35-44 · male | 18.7% |
| 18-24 · female | 3.5% |
| 25-34 · female | 23.8% |
| 18-24 · male | 1.8% |
| 25-34 · male | 17.6% |
| 55-64 · unknown | 0.0% |
