Brandon Brown for South Carolina US Inactive
Brandon Brown for South Carolina
Defeat Lindsey Graham
Chip in to flip South Carolina blue and send Lindsey Graham packing!
Ad copy
Hey, it's Democrat Brandon Brown. I’m an HBCU advocate, small-business owner, and lifelong South Carolinian running to defeat Lindsey Graham and flip this Senate seat blue. My team set an ambitious Founding Donor goal to show that our campaign has what it takes to win. Will you rush $2 today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 9.6 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 36 (2025-07-22 → 2025-08-27) |
| Created | 2025-07-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Brandon Brown |
| Surfaced by | “senate:Brandon Brown” |
🧠 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 | Progress meter showing 65% completion inside a circular candidate portrait frame, creating urgency |
| Tactic | Low-dollar ask ($2) combined with a 'Founding Donor' framing and visible progress meter leverages loss aversion and exclusivity to drive immediate small donations. |
Where it ran (delivery by region)
| South Carolina | 56.7% |
| North Carolina | 6.6% |
| Georgia | 6.1% |
| California | 4.0% |
| Texas | 3.7% |
| Florida | 2.3% |
| New York | 2.1% |
Who saw it (delivery)
| 18-24 · female | 0.4% |
| 45-54 · male | 4.9% |
| 65+ · male | 21.3% |
| 65+ · female | 36.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 7.2% |
| 55-64 · female | 12.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 1.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.3% |
| 35-44 · female | 2.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.1% |
| 25-34 · female | 1.8% |
| 65+ · unknown | 0.8% |
