Dr. Annie Andrews US Inactive
DR. ANNIE ANDREWS FOR SENATE
Mom. Pediatrician. Democrat.
Counting on your support
Ad copy
Lindsey Graham has spent decades putting special interests, Trump, and his own career ahead of South Carolina. I’m running because families deserve a fighter, not a sellout. Help power this campaign to defeat Graham, elect a mom and pediatrician, and flip the Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.8/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 70.7 · 24.5 · 53.3 |
| Spend range | USD 3,500–3,999 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 68.17 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 90 (2026-01-08 → 2026-04-08) |
| Created | 2026-01-08 |
| 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 | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, opponent, medical |
| Symbols | none |
| Call to action | donate |
| Standout element | Four-panel grid juxtaposing three damning labels on black-and-white opponent photos against a color photo of the candidate labeled 'FIGHTER' |
| Tactic | The stark contrast between desaturated negative images of Graham with attack labels and the warm color image of Andrews as 'FIGHTER' uses visual dichotomy to reinforce the sellout-vs-fighter narrative while driving donations. |
Where it ran (delivery by region)
| South Carolina | 17.3% |
| California | 10.7% |
| Florida | 6.5% |
| New York | 5.0% |
| North Carolina | 4.4% |
| Texas | 3.9% |
| Pennsylvania | 3.2% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 3.4% |
| 65+ · male | 30.7% |
| 65+ · female | 36.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.1% |
| 55-64 · female | 9.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.5% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.0% |
| 35-44 · female | 2.6% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.9% |
