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
Democrat Brandon Brown just announced his campaign for Senate. Brandon is a life-long South Carolinian who is driven by his faith. He’s ready to flip South Carolina blue and send Lindsey Graham packing. Will you chip in and become a Founding Donor to our campaign today?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.2/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 51.9 · 9.9 · 55.2 |
| Spend range | USD 400–499 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 52.89 |
| Est. audience size | — |
| Days live | 37 (2025-07-22 → 2025-08-28) |
| 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 | candidate character bio |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Humorous 'Lindsey Graham Retirement Fund' framing with opponent rendered in desaturated grayscale beside a vibrant candidate |
| Tactic | The mock 'retirement fund' framing transforms a standard fundraising ask into a punchy, memorable attack, using humor and contrast to motivate small-dollar donors through ridicule of the incumbent. |
Where it ran (delivery by region)
| South Carolina | 17.4% |
| California | 10.8% |
| North Carolina | 7.5% |
| Florida | 6.5% |
| Texas | 5.9% |
| Georgia | 3.7% |
| New York | 3.6% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.2% |
| 65+ · male | 30.3% |
| 65+ · female | 39.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.8% |
| 55-64 · female | 9.6% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 3.3% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 1.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.0% |
| 25-34 · female | 0.8% |
| 65+ · unknown | 0.6% |
