Dr. Annie Andrews US Inactive
DR. ANNIE ANDREWS FOR SENATE
LINDSEY GRAHAM MUST GO >>
Ad copy
As a pediatrician, I've treated victims of CSA. Pedophiles and the people who protect them, like Lindsey Graham, should never know peace again. I need every grassroots Democrat with me. Will you add your name next to mine to say you've had enough of these Republicans? >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 66.9 · 41.9 · 58.7 |
| Spend range | USD 1,000–1,499 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 33.32 |
| Est. audience size | — |
| Days live | 153 (2025-08-04 → 2026-01-04) |
| Created | 2025-08-04 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Annie Andrews |
| Surfaced by | “senate:Annie Andrews” |
🧠 AI analysis
| Issue | crime safety |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate, medical |
| Symbols | none |
| Call to action | sign petition |
| Standout element | direct-to-camera selfie video by a pediatrician making explosive CSA-protection accusation against named incumbent |
| Tactic | Leverages candidate's medical authority as a pediatrician to lend credibility to a maximally inflammatory personal attack on Graham, using moral outrage and a name-capture CTA to convert anger into list growth. |
Where it ran (delivery by region)
| Florida | 9.1% |
| California | 7.5% |
| Pennsylvania | 5.7% |
| Ohio | 5.7% |
| Texas | 5.4% |
| New York | 5.3% |
| Michigan | 4.3% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 2.0% |
| 65+ · male | 17.8% |
| 65+ · female | 45.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.5% |
| 55-64 · female | 17.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.5% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.1% |
| 35-44 · female | 2.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
