Dr. Annie Andrews US Inactive
DR. ANNIE ANDREWS FOR CONGRESS
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Vote Dr. Annie Andrews For Congress
Ad copy
I took an oath to practice medicine. Nancy Mace took an oath to serve in Congress. The difference? I'll be honest with you, and she won't.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.6/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 81.7 · 3.0 · 57.3 |
| Spend range | USD 6,000–6,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 40.0 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 12 (2022-10-28 → 2022-11-09) |
| Created | 2022-10-28 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Annie Andrews |
| Surfaced by | “senate:Annie Andrews” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook ad removal notice replacing the actual creative due to disclaimer policy violation |
| Tactic | The ad leverages a physician's oath versus a congressional oath as a character contrast attack, framing the candidate as honest and the opponent as dishonest, but the ad was removed for policy non-compliance undermining its reach. |
Where it ran (delivery by region)
| South Carolina | 99.8% |
| North Carolina | 0.0% |
| Florida | 0.0% |
| Georgia | 0.0% |
| New York | 0.0% |
| California | 0.0% |
| Maryland | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 35-44 · female | 16.0% |
| 18-24 · unknown | 0.0% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.3% |
| 65+ · unknown | 0.1% |
| 45-54 · male | 6.4% |
| 18-24 · female | 6.0% |
| 18-24 · male | 2.4% |
| 55-64 · female | 8.6% |
| 25-34 · female | 14.8% |
| 25-34 · male | 7.1% |
| 65+ · female | 9.5% |
| 65+ · male | 4.8% |
| 35-44 · male | 9.0% |
| 45-54 · female | 10.1% |
| 55-64 · male | 4.7% |
| 45-54 · unknown | 0.2% |
