Dr. Annie Andrews US Inactive
DR. ANNIE ANDREWS FOR SENATE
LINDSEY GRAHAM MUST GO >>
CHIP IN
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 rush a donation to my campaign before midnight? >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.8/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 81.7 · 12.1 · 58.6 |
| Spend range | USD 5,000–5,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 33.84 |
| Est. audience size | — |
| Days live | 45 (2025-08-04 → 2025-09-18) |
| 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 | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate, medical |
| Symbols | none |
| Call to action | donate |
| Standout element | Direct-to-camera selfie-style video paired with explosive CSA accusation against named incumbent |
| Tactic | Leverages the candidate's pediatrician credibility to deliver a maximally inflammatory moral accusation against Graham, using midnight deadline urgency to convert outrage into immediate donations. |
Where it ran (delivery by region)
| California | 13.5% |
| South Carolina | 7.0% |
| Florida | 5.8% |
| New York | 5.5% |
| Texas | 5.0% |
| North Carolina | 4.0% |
| Washington | 3.9% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.3% |
| 65+ · male | 23.5% |
| 65+ · female | 37.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.8% |
| 55-64 · female | 15.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.6% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.2% |
| 35-44 · female | 1.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
