Brandon Brown for South Carolina US Inactive
Brandon Brown For South Carolina
Ad copy
On the road today heading to four county conventions. I wish I could make it to every one across the state, but the reception and encouragement I’ve been getting has been truly inspiring. Democrats are energized, engaged, and ready to organize for South Carolina’s future. Chester ➡️ York ➡️ Cherokee ➡️ Abbeville 😮💨💪🏾 #BrandonBrown #LindseyGraham #FlipTheSenate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.5/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 50.6 · 0.8 · 70.8 |
| Spend range | <USD 99 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 6.6 |
| Est. audience size | — |
| Days live | 4 (2026-03-15 → 2026-03-19) |
| Created | 2026-03-15 |
| Creative variants | 1 body · 0 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 | awareness |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | none |
| Standout element | Candid hug at county convention table conveying grassroots warmth and authentic community connection |
| Tactic | The ad uses an authentic road-trip-on-the-trail narrative to signal grassroots hustle and energize the Democratic base, framing the candidate as a tireless organizer building momentum county by county. |
Where it ran (delivery by region)
| South Carolina | 20.4% |
| North Carolina | 7.3% |
| Georgia | 6.3% |
| Texas | 5.0% |
| New York | 4.2% |
| Florida | 4.0% |
| Alabama | 3.9% |
Who saw it (delivery)
| 18-24 · female | 3.7% |
| 45-54 · male | 11.2% |
| 65+ · male | 11.6% |
| 65+ · female | 13.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.6% |
| 55-64 · female | 8.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.4% |
| 18-24 · male | 6.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 11.6% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 9.0% |
| 25-34 · female | 2.1% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
