Lindsey Graham US Inactive
TEAM GRAHAM, INC.
Support Senator Lindsey Graham!
Chip in $20.20 Now!
Ad copy
A special message from Senator Tim Scott (R-SC): Out-of-state liberals are funneling millions 💰 💰 💰 into South Carolina in an attempt to buy this election and win a Democratic Majority in the Senate. We must fight back. Will you join me in supporting Senator Lindsey Graham by chipping in $20.20 right now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.3/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 99.5 · 13.5 · 67.7 |
| Spend range | USD 9,000–9,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | — |
| Days live | 50 (2020-07-15 → 2020-09-03) |
| Created | 2020-07-15 |
| 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 | money cash |
| Call to action | donate |
| Standout element | Tim Scott delivering a direct-to-camera video endorsement as a surrogate fundraising appeal |
| Tactic | Leverages a high-profile Black Republican senator as a credibility surrogate to amplify the threat of outside liberal money and drive urgent small-dollar donations. |
Where it ran (delivery by region)
| Texas | 9.2% |
| California | 8.4% |
| Florida | 8.2% |
| North Carolina | 4.2% |
| New York | 4.2% |
| Georgia | 4.1% |
| South Carolina | 3.9% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 65+ · male | 12.8% |
| 18-24 · female | 0.3% |
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 45-54 · unknown | 0.2% |
| 25-34 · female | 1.3% |
| 55-64 · male | 12.2% |
| 45-54 · male | 8.3% |
| 18-24 · male | 0.3% |
| 65+ · female | 24.6% |
| 45-54 · female | 10.5% |
| 55-64 · female | 18.7% |
| 35-44 · female | 3.8% |
| 25-34 · male | 1.8% |
| 35-44 · male | 4.4% |
| 65+ · unknown | 0.4% |
| 18-24 · unknown | 0.0% |
