Dr. Annie Andrews US Inactive
DR. ANNIE ANDREWS FOR SENATE
RUSH A DONATION NOW >>
Short of our goal >>
Ad copy
I'm Dr. Annie Andrews, and this is NOT how I wanted to start my campaign for U.S. Senate. I’m still short of my $100,000 kickoff goal. I can’t defeat Lindsey Graham alone. If everyone seeing this steps up with $5 TODAY, we'll hit our goal in no time and FLIP South Carolina blue.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.1/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 78.0 · 12.9 · 57.7 |
| Spend range | USD 4,000–4,499 |
| Impressions | 100,000 – 124,999 |
| CPM (≈ $/1k impr) | USD 37.77 |
| Est. audience size | — |
| Days live | 48 (2025-10-23 → 2025-12-10) |
| Created | 2025-10-23 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Fabricated iMessage thread showing the candidate casually texting staff from dance class carpool, manufacturing authentic spontaneity |
| Tactic | The faux-text-thread creative mimics a behind-the-scenes 'accidental' reveal to create intimacy and urgency, pairing a $5 low-barrier ask with a named opponent (Lindsey Graham) to drive immediate small-dollar donations. |
Where it ran (delivery by region)
| South Carolina | 43.9% |
| North Carolina | 11.1% |
| California | 3.9% |
| Florida | 3.8% |
| Georgia | 3.0% |
| New York | 2.2% |
| Pennsylvania | 2.1% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 4.9% |
| 65+ · male | 12.9% |
| 65+ · female | 19.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.1% |
| 55-64 · female | 15.2% |
| 45-54 · unknown | 0.3% |
| 45-54 · female | 14.0% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.6% |
| 35-44 · female | 14.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.4% |
| 25-34 · female | 5.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.5% |
