Lindsey Graham US Inactive
TEAM GRAHAM, INC.
We need your help!
Chip in $5, $10, or $25!
Ad copy
Every Liberal in the country is pouring 💰💰💰 into South Carolina. Nancy Pelosi, Hillary Clinton, and Barack Obama are all backing my Democrat opponent. Your support will make the difference in this election. Will you chip in $20.20 right now and help us FIGHT BACK?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.6/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 100.0 · 3.3 · 61.6 |
| Spend range | USD 20,000–24,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 22.5 |
| Est. audience size | — |
| Days live | 13 (2020-10-05 → 2020-10-18) |
| Created | 2020-10-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Lindsey Graham |
| Surfaced by | “senate:SC — Lindsey Graham” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | capitol statue, money cash |
| Call to action | donate |
| Standout element | Fox News chyron framing Graham as defender of GOP norms with Capitol dome looming behind him |
| Tactic | Classic fear-and-urgency fundraising tactic — naming high-profile liberal villains (Pelosi, Clinton, Obama) to trigger an emotional 'fight back' response and drive immediate small-dollar donations via WinRed. |
Where it ran (delivery by region)
| California | 10.2% |
| Texas | 9.9% |
| Florida | 6.6% |
| New York | 4.2% |
| Ohio | 3.9% |
| Pennsylvania | 3.6% |
| Michigan | 3.3% |
Who saw it (delivery)
| 55-64 · unknown | 0.3% |
| 35-44 · female | 6.8% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 18-24 · female | 0.3% |
| 55-64 · female | 15.2% |
| 35-44 · male | 10.9% |
| 45-54 · female | 13.1% |
| 55-64 · male | 13.8% |
| 65+ · unknown | 0.2% |
| 25-34 · male | 4.3% |
| 45-54 · male | 16.8% |
| 65+ · male | 6.1% |
| 18-24 · male | 0.6% |
| 25-34 · female | 2.3% |
| 65+ · female | 8.8% |
| 35-44 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
