Angie Craig US Inactive
ANGIE CRAIG FOR CONGRESS
angiecraig.com
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
When over 5 million families were impacted by surprise medical bills, Angie Craig fought for working folks to protect against surprise medical bills that hurt so many financially.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.1/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 72.4 · 9.4 · 60.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 26.92 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 35 (2022-10-05 → 2022-11-09) |
| Created | 2022-10-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Angie Craig |
| Surfaced by | “senate:Angie Craig” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | diverse crowd, seniors, family children |
| Symbols | family, healthcare |
| Call to action | learn more |
| Standout element | Bold white oversized typography dominating a royal blue background with embedded stock photos of diverse families |
| Tactic | The ad uses relatable family imagery and a concrete policy win to build trust and credibility for Craig as a champion of working families against surprise medical billing. |
Where it ran (delivery by region)
| Minnesota | 99.9% |
| Florida | 0.0% |
| Wisconsin | 0.0% |
| Jammu and Kashmir | 0.0% |
| Illinois | 0.0% |
| Utah | 0.0% |
| North Dakota | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.2% |
| 65+ · male | 3.9% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.0% |
| 35-44 · unknown | 0.3% |
| 18-24 · male | 3.0% |
| 18-24 · female | 3.3% |
| 35-44 · male | 12.4% |
| 35-44 · female | 15.3% |
| 25-34 · male | 11.1% |
| 45-54 · male | 11.0% |
| 65+ · female | 3.6% |
| 45-54 · female | 11.1% |
| 55-64 · male | 5.6% |
| 55-64 · female | 4.9% |
| 25-34 · female | 14.1% |
| 25-34 · unknown | 0.1% |
