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
Battling diabetes is hard enough without worrying about how you’ll pay for your insulin. That’s why Angie Craig brought Democrats and Republicans together to pass a plan to cap the cost of insulin at $35, so that you never have to choose between your prescriptions and putting food on the table.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.2/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 80.0 · 6.9 · 61.2 |
| Spend range | USD 3,000–3,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 23.63 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 26 (2022-10-13 → 2022-11-08) |
| Created | 2022-10-13 |
| 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 | professional |
| Who pictured | candidate |
| Symbols | capitol statue, healthcare |
| Call to action | none |
| Standout element | candidate posed determinedly in front of the House of Representatives seal, signaling official legislative authority |
| Tactic | The ad pairs a personal health hardship narrative with a concrete bipartisan legislative achievement ($35 insulin cap) to build trust and empathy among cost-burdened patients. |
Where it ran (delivery by region)
| Minnesota | 99.9% |
| Wisconsin | 0.0% |
| Iowa | 0.0% |
| Texas | 0.0% |
| New York | 0.0% |
| North Dakota | 0.0% |
| Florida | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 45-54 · male | 6.0% |
| 55-64 · male | 4.4% |
| 35-44 · female | 18.2% |
| 25-34 · female | 17.7% |
| 45-54 · female | 12.9% |
| 65+ · female | 8.6% |
| 35-44 · male | 8.0% |
| 55-64 · female | 10.7% |
| 65+ · male | 3.5% |
| 25-34 · male | 9.5% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
