Lindsey Graham US Inactive
TEAM GRAHAM, INC.
Join the Fight Against the Mob!
Chip in $5, $10, or $25!
Ad copy
The liberal mob hates my guts because I stood up for Justice Kavanaugh and I've been helping President Trump. My opponent is raising millions. I need your help to fight back. We're in a fight for the heart and soul of this country. Please donate $5, $10, or even $25 if you can!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.9/100 |
| Spend / Reach / Long. / Eff. | 69.6 · 100.0 · 3.0 · 58.9 |
| Spend range | USD 30,000–34,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 32.5 |
| Est. audience size | — |
| Days live | 12 (2020-10-06 → 2020-10-18) |
| Created | 2020-10-06 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Bold white all-caps 'TAKE ME OUT!' headline on black background over a live debate video frame creating a siege mentality |
| Tactic | The ad uses victimhood framing and enemy-threat language ('liberal mob') to trigger fear and tribal solidarity, driving small-dollar donations by positioning Graham as a besieged fighter rather than an incumbent seeking re-election. |
Where it ran (delivery by region)
| Texas | 9.8% |
| California | 9.0% |
| Florida | 7.4% |
| New York | 4.7% |
| Ohio | 4.0% |
| Pennsylvania | 3.7% |
| North Carolina | 3.4% |
Who saw it (delivery)
| 13-17 · unknown | 0.0% |
| 18-24 · male | 1.1% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 3.9% |
| 45-54 · female | 7.1% |
| 55-64 · male | 17.9% |
| 25-34 · male | 6.2% |
| 65+ · female | 9.1% |
| 18-24 · female | 0.3% |
| 45-54 · male | 17.5% |
| 35-44 · male | 12.5% |
| 65+ · male | 11.2% |
| 55-64 · female | 10.6% |
| 25-34 · female | 1.5% |
| 65+ · unknown | 0.2% |
| 55-64 · unknown | 0.3% |
| 18-24 · unknown | 0.0% |
