Angie Craig US Inactive
ANGIE CRAIG FOR CONGRESS
Angie Craig for Congress
I’ve prioritized listening to the concerns of the citizens I represent and working across the aisle to create stronger communities and an economy that works for every Minnesotan. That’s why I ran for Congress.
Ad copy
My most important job as an elected official is to ensure public safety, and that is a responsibility I take very seriously. I’m committed to doing everything I can to promote public safety in Minnesota. I’m honored to have earned the endorsement of the Minnesota Police & Peace Officers Association, and I will continue to work with the men and women in uniform who do critical work to keep our communities safe.
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Performance proxies
| Overall score | 42.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 70.7 · 4.1 · 61.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 22.72 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 16 (2022-10-24 → 2022-11-09) |
| Created | 2022-10-24 |
| 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 | pride |
| Production tier | professional |
| Who pictured | candidate, police |
| Symbols | none |
| Call to action | none |
| Standout element | candidate flanked by uniformed sheriff and police officer in a warm outdoor setting, visually embodying law enforcement partnership |
| Tactic | The endorsement badge combined with the candidate physically standing between two law enforcement officers provides powerful visual proof of police support, preemptively neutralizing any 'soft on crime' attack. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
| Illinois | 0.0% |
| New York | 0.0% |
| California | 0.0% |
| Iowa | 0.0% |
| Colorado | 0.0% |
| Georgia | 0.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 35-44 · male | 11.2% |
| 55-64 · female | 9.8% |
| 45-54 · female | 11.6% |
| 65+ · female | 7.2% |
| 55-64 · male | 5.6% |
| 25-34 · female | 15.5% |
| 65+ · male | 4.1% |
| 25-34 · male | 9.0% |
| 45-54 · male | 8.0% |
| 35-44 · female | 17.6% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
