Angie Craig US Inactive
ANGIE CRAIG FOR CONGRESS
Ad copy
Ending corruption in Congress isn’t complicated. You just need honest leadership that’s committed to doing what’s right, instead of what’s easy. That’s what Angie’s plan to clean up Congress is all about: getting Congress to work for you, not themselves.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.6/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 83.1 · 6.1 · 61.6 |
| Spend range | USD 4,000–4,499 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 22.66 |
| Est. audience size | — |
| Days live | 23 (2022-08-31 → 2022-09-23) |
| Created | 2022-08-30 |
| Creative variants | 1 body · 0 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 | persuasion |
| Emotional appeal | hope |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | candidate in casual chambray shirt speaking directly to camera outdoors, projecting everyday authenticity |
| Tactic | The ad uses a relatable, no-nonsense visual persona paired with an anti-corruption reform message to build trust and differentiate Craig as a principled outsider who will put voters first. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
| Vientiane Prefecture | 0.0% |
| Dhaka Division | 0.0% |
| Narayani Zone | 0.0% |
| Shan State | 0.0% |
| Oudomxay Province | 0.0% |
| Luang Prabang Province | 0.0% |
Who saw it (delivery)
| 13-17 · unknown | 0.0% |
| 65+ · male | 9.2% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 7.3% |
| 35-44 · male | 14.5% |
| 35-44 · female | 8.3% |
| 65+ · female | 10.3% |
| 18-24 · female | 0.0% |
| 55-64 · male | 11.2% |
| 45-54 · male | 10.5% |
| 25-34 · male | 11.0% |
| 55-64 · female | 10.1% |
| 25-34 · female | 6.9% |
| 13-17 · male | 0.0% |
| 18-24 · male | 0.0% |
| 65+ · unknown | 0.2% |
