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 Judge 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 | 57.2/100 |
| Spend / Reach / Long. / Eff. | 65.7 · 100.0 · 1.7 · 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 | 7 (2020-09-23 → 2020-09-30) |
| Created | 2020-09-23 |
| 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, diverse crowd |
| Symbols | none |
| Call to action | donate |
| Standout element | Split-screen juxtaposing Graham calmly speaking at home with a dark nighttime crowd of protesters outside his residence |
| Tactic | The ad weaponizes fear and personal threat by contrasting Graham's calm domestic setting with menacing protest footage, framing the donation ask as a defensive act of personal solidarity rather than a routine campaign contribution. |
Where it ran (delivery by region)
| California | 11.2% |
| Texas | 10.6% |
| Florida | 7.4% |
| New York | 5.1% |
| Ohio | 3.7% |
| Pennsylvania | 3.6% |
| North Carolina | 2.9% |
Who saw it (delivery)
| 35-44 · unknown | 0.2% |
| 18-24 · male | 1.3% |
| 18-24 · female | 0.4% |
| 65+ · unknown | 0.3% |
| 55-64 · unknown | 0.3% |
| 45-54 · female | 8.4% |
| 55-64 · female | 12.8% |
| 35-44 · male | 9.9% |
| 55-64 · male | 17.0% |
| 18-24 · unknown | 0.0% |
| 45-54 · male | 13.9% |
| 25-34 · male | 5.6% |
| 65+ · female | 11.3% |
| 25-34 · female | 1.9% |
| 35-44 · female | 4.5% |
| 65+ · male | 11.9% |
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
