Brandon Brown for South Carolina US Inactive
Brandon Brown For South Carolina
Ad copy
I’m at MUSC in Orangeburg today because this community’s hospital is in danger of closing due to a reckless bill that puts rural health care on the chopping block. Too many of our neighbors depend on this hospital for insulin, blood pressure medicine, cholesterol treatment, and basic care that keeps them alive. South Carolina deserves better than politicians who look the other way while rural hospitals like MUSC are under attack. I’m running for the United States Senate to stand up for patients who don’t have a lobbyist or a megaphone — just a need to see a doctor close to home. If you’re ready to protect rural health care and put South Carolinians first, join this fight at BrandonPBrown.com.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 59.2 · 2.8 · 77.1 |
| Spend range | <USD 99 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 2.83 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 11 (2026-01-07 → 2026-01-18) |
| Created | 2026-01-07 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Brandon Brown |
| Surfaced by | “senate:Brandon Brown” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | healthcare |
| Call to action | learn more |
| Standout element | candidate filmed on-location in front of MUSC Health emergency sign, lending immediacy and authenticity |
| Tactic | The ad uses a direct-to-camera field report tactic at a threatened rural hospital to create visceral urgency and position the candidate as a champion of vulnerable patients against indifferent politicians. |
Where it ran (delivery by region)
| South Carolina | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.0% |
| 45-54 · male | 6.6% |
| 65+ · male | 3.8% |
| 65+ · female | 13.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.4% |
| 55-64 · female | 13.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 14.7% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.7% |
| 35-44 · female | 15.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 6.2% |
| 25-34 · female | 10.0% |
| 65+ · unknown | 0.1% |
