Lindsey Graham US Inactive
TEAM GRAHAM, INC.
Stand with Senator Graham!
Chip in $20.20
Ad copy
The Democrats have raised over $14 million in Q2 to defeat Senator Graham – 93% coming from out-of-state! 😳 Help us stop the 🌊 of liberal 💵💵💵 by building a conservative firewall around South Carolina! Will you give $20.20 right now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.5/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 99.5 · 5.5 · 65.6 |
| Spend range | USD 10,000–14,999 |
| Impressions | 900,000 – 999,999 |
| CPM (≈ $/1k impr) | USD 13.16 |
| Est. audience size | — |
| Days live | 21 (2020-07-29 → 2020-08-19) |
| Created | 2020-07-29 |
| 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 | none |
| Symbols | us flag, money cash, border |
| Call to action | donate |
| Standout element | Giant wave of cash money crashing over a US map toward South Carolina, blocked by a red brick firewall |
| Tactic | Uses vivid threat-framing — a literal 'blue wave' of liberal money — to trigger fear of outside interference and urgency to donate, reinforced by the specific $20.20 ask tied to the election year. |
Where it ran (delivery by region)
| Texas | 10.0% |
| California | 8.9% |
| Florida | 7.4% |
| New York | 4.8% |
| South Carolina | 3.8% |
| North Carolina | 3.6% |
| Georgia | 3.5% |
Who saw it (delivery)
| 25-34 · unknown | 0.1% |
| 55-64 · male | 15.1% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
| 25-34 · female | 1.7% |
| 55-64 · unknown | 0.3% |
| 45-54 · female | 8.6% |
| 35-44 · male | 7.7% |
| 18-24 · female | 0.3% |
| 35-44 · female | 3.7% |
| 25-34 · male | 4.7% |
| 65+ · male | 13.6% |
| 55-64 · female | 14.2% |
| 45-54 · male | 12.7% |
| 65+ · female | 15.7% |
| 18-24 · male | 1.1% |
| 18-24 · unknown | 0.0% |
