Dr. Annie Andrews US Inactive
DR. ANNIE ANDREWS FOR SENATE
Mom. Pediatrician. Democrat.
Counting on your support
Ad copy
Lindsey Graham openly supports violating the Constitution to give Donald Trump a third term. That should terrify every American. I’m running for Senate to defend democracy, restore integrity, and protect our future. Donate now to stand with our campaign.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.9/100 |
| Spend / Reach / Long. / Eff. | 49.0 · 75.1 · 24.8 · 54.8 |
| Spend range | USD 4,500–4,999 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 55.88 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 91 (2026-01-08 → 2026-04-09) |
| 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 | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Lindsey Graham grinning while holding a red 'Trump 2028' hat — a real photo weaponized as damning evidence |
| Tactic | Leverages a real, visually incriminating photo of Graham holding a Trump 2028 hat to make the constitutional-violation attack feel self-evident, then channels fear into an immediate donate CTA. |
Where it ran (delivery by region)
| South Carolina | 22.4% |
| California | 9.5% |
| Florida | 6.1% |
| North Carolina | 4.9% |
| New York | 4.5% |
| Texas | 3.2% |
| Massachusetts | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 3.0% |
| 65+ · male | 25.9% |
| 65+ · female | 39.2% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.1% |
| 55-64 · female | 11.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.7% |
| 18-24 · male | 0.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.6% |
| 35-44 · female | 3.2% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.5% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.8% |
