Dr. Annie Andrews US ● Active
DR. ANNIE ANDREWS FOR SENATE
UNSEAT GRAHAM >>
Donate to send Annie to the Senate!
Ad copy
South Carolina needs a Senator who will stand up to Trump – not one who applauds him from the sidelines. If you're ready to fight back, please rush a donation of any amount right now to help me defeat Lindsey Graham and give South Carolina the leadership we deserve. >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.1/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 78.0 · 4.7 · 56.9 |
| Spend range | USD 4,500–4,999 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 42.22 |
| Est. audience size | 100 – 1,000 |
| Days live | 18 (2026-06-11 → active) |
| Created | 2026-06-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Annie Andrews |
| Surfaced by | “senate:Annie Andrews” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Bold white all-caps text over a dark moody palmetto silhouette skyline creating a dramatic urgent call to unseat Graham |
| Tactic | Urgency-and-anger fundraising tactic using Trump as a villain and Graham as his enabler to trigger small-dollar donations from a broad national progressive donor base. |
Where it ran (delivery by region)
| South Carolina | 36.2% |
| North Carolina | 8.4% |
| California | 7.2% |
| Florida | 3.9% |
| New York | 3.7% |
| Georgia | 2.9% |
| Massachusetts | 2.8% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.1% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.7% |
| 65+ · male | 26.0% |
| 65+ · female | 32.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.8% |
| 55-64 · female | 12.5% |
| 45-54 · male | 4.3% |
| 18-24 · male | 0.1% |
| 45-54 · female | 6.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.5% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.8% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
