Lindsey Graham US Inactive
TEAM GRAHAM, INC.
Help Senator Graham Fight Back!
Chip in $20.20
Ad copy
Nancy Pelosi, Chuck Schumer, Hillary Clinton, Rosie O'Donnell, and Barbra Streisand are all backing my liberal Democrat opponent Jaime Harrison. With so much at stake, we can't let the Liberal Elite buy this race. We need your help to FIGHT BACK! Will you chip in $20.20 right now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.7/100 |
| Spend / Reach / Long. / Eff. | 69.6 · 100.0 · 10.2 · 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 | 38 (2020-07-27 → 2020-09-03) |
| Created | 2020-07-27 |
| 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 | none |
| Call to action | donate |
| Standout element | Fox News 'Breaking News' chyron lending urgency and mainstream-media credibility to the fundraising ask |
| Tactic | The ad uses a celebrity-liberal-elite name-drop strategy to trigger conservative in-group fear and out-group resentment, converting that emotional charge directly into a $20.20 donation ask. |
Where it ran (delivery by region)
| Texas | 11.5% |
| Florida | 9.6% |
| California | 9.1% |
| New York | 4.4% |
| Arizona | 3.5% |
| Georgia | 3.2% |
| Pennsylvania | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 55-64 · male | 16.1% |
| 18-24 · unknown | 0.0% |
| 25-34 · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 25-34 · female | 0.6% |
| 35-44 · female | 1.6% |
| 35-44 · male | 2.5% |
| 55-64 · female | 18.7% |
| 55-64 · unknown | 0.3% |
| 45-54 · female | 7.2% |
| 45-54 · male | 7.9% |
| 65+ · male | 17.5% |
| 65+ · female | 26.0% |
| 25-34 · male | 0.8% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 18-24 · male | 0.1% |
