Angie Craig US Inactive
ANGIE CRAIG FOR CONGRESS
Vote for Angie Craig
Angie Craig is running to fight for all Minnesotans during this pandemic. In Congress, she has worked with both parties to pass meaningful reform in Washington and relief for businesses in Minnesota. Angie Craig fights for you.
Ad copy
This election is the most important of our lifetime, and your vote is just as important. Please vote in the November election, and vote your full ballot. Vote for Angie Craig to elect a leader who fights for you in Congress.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.1/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 70.7 · 2.8 · 55.6 |
| Spend range | USD 2,500–2,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 49.99 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 11 (2020-10-12 → 2020-10-23) |
| Created | 2020-10-12 |
| 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 | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | us flag |
| Call to action | vote |
| Standout element | Row of voting booths with American flags creating a patriotic, civic-duty visual anchor |
| Tactic | The ad leverages urgency and civic pride by centering voting booths and American flags to motivate turnout, framing the act of voting itself as the most critical action a citizen can take. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
| Alabama | 0.0% |
| California | 0.0% |
| Wisconsin | 0.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 18-24 · female | 3.2% |
| 55-64 · female | 10.5% |
| 45-54 · male | 8.1% |
| 35-44 · male | 11.2% |
| 65+ · female | 8.2% |
| 65+ · male | 4.3% |
| 25-34 · male | 8.8% |
| 35-44 · female | 14.8% |
| 25-34 · female | 10.9% |
| 45-54 · female | 11.2% |
| 18-24 · male | 2.2% |
| 55-64 · male | 5.8% |
| 18-24 · unknown | 0.0% |
