DR. ANNIE ANDREWS FOR SENATE
Lindsey Graham has a 22-year head start and the backing of millionaires, corporate PACs, and special interests who will spend whatever it takes to keep him in power. I’m a pediatrician and a mom, not a career politician. I don’t have a network of wealthy donors to call. What I do have is you — and thousands of people just like you who believe this state deserves better. So if you’re with me, I’m asking you to make a $10 donation right now. Because if we don’t start closing the gap now, we’ll never get the chance to close it at all. >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 46.8/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 75.1 · 7.2 · 52.5 |
| Spend range | USD 6,000–6,999 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 76.47 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 27 (2026-05-20 → 2026-06-16) |
| Created | 2026-05-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Annie Andrews |
| Surfaced by | “senate:Annie Andrews” |
| Issue | candidate character bio |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, medical |
| Symbols | none |
| Call to action | donate |
| Standout element | direct-to-camera selfie-style video frame conveying unpolished authenticity against a opponent with 22 years of establishment backing |
| Tactic | The ad uses a classic David-vs-Goliath contrast frame — positioning Andrews as an everyday pediatrician-mom with only grassroots support against a well-funded career politician — to trigger both empathy and urgency that drives a $10 donation. |
| California | 14.4% |
| New York | 6.8% |
| South Carolina | 6.6% |
| Florida | 5.2% |
| Massachusetts | 5.0% |
| North Carolina | 4.8% |
| Washington | 4.7% |
| 18-24 · female | 0.0% |
| 45-54 · unknown | 0.1% |
| Unknown · female | 0.0% |
| 65+ · unknown | 1.0% |
| 65+ · male | 42.0% |
| 65+ · female | 24.0% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 13.5% |
| 55-64 · female | 7.5% |
| 45-54 · male | 4.9% |
| 18-24 · male | 0.1% |
| 45-54 · female | 2.6% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 1.8% |
| 35-44 · female | 1.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 25-34 · female | 0.4% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |